10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory

University of Bern (171)
- 10 Strategic Research Centers (171)
  - ARTORG Center for Biomedical Engineering Research (171)
    - ARTORG Center - AI in Medical Imaging Laboratory (171)

Group by: Date | Name | Item Type | Refereed | No Grouping

Number of items at this level: 651.

Abegg, Mathias

Kucur, Serife Seda; Haeckel, Sebastian; Stapelfeldt, Jan; Odermatt, Jeannine; Iliev, Milko E.; Abegg, Mathias; Sznitman, Raphael; Höhn, René (2020). Comparative study between the SORS and Dynamic Strategy visual field testing methods on glaucomatous and healthy subjects. Translational vision science & technology, 9(13), p. 3. Association for Research in Vision and Ophthalmology 10.1167/tvst.9.13.3

Kucur, Serife Seda; Márquez Neila, Pablo; Abegg, Mathias; Sznitman, Raphael (2019). Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical image analysis, 54, pp. 179-192. Elsevier 10.1016/j.media.2019.03.002

Dysli, Chantal-Simone; Quellec, Gwénolé; Abegg, Mathias; Menke, Marcel N; Wolf-Schnurrbusch, Ute; Kowal, Horst Jens; Blatz, Johannes; La Schiazza, Olivier; Leichtle, Alexander Benedikt; Wolf, Sebastian; Zinkernagel, Martin S (2014). Quantitative analysis of fluorescence lifetime measurements of the macula using the fluorescence lifetime imaging ophthalmoscope in healthy subjects. Investigative ophthalmology & visual science, 55(4), pp. 2106-2113. Association for Research in Vision and Ophthalmology 10.1167/iovs.13-13627

Abegg, Mathias; Dysli, Denise-Muriel; Wolf, Sebastian; Kowal, Horst Jens; Dufour, Pascal André; Zinkernagel, Martin (2014). Microcystic macular edema: retrograde maculopathy caused by optic neuropathy. Ophthalmology, 121(1), pp. 142-149. Elsevier 10.1016/j.ophtha.2013.08.045

Aebersold, Daniel Matthias

Poel, Robert; Kamath, Amith J.; Willmann, Jonas; Andratschke, Nicolaus; Ermis, Ekin; Aebersold, Daniel M.; Manser, Peter; Reyes, Mauricio (2023). Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring. Cancers, 15(17) MDPI AG 10.3390/cancers15174226

Rüegsegger, Michael B; Bach Cuadra, Meritxell; Pica, Alessia; Amstutz, Christoph A; Rudolph, Tobias; Aebersold, Daniel; Kowal, Jens H (2012). Statistical modeling of the eye for multimodal treatment planning for external beam radiation therapy of intraocular tumors. International journal of radiation oncology, biology, physics, 84(4), e541-7. New York, N.Y.: Elsevier 10.1016/j.ijrobp.2012.05.040

Afshar Oromieh, Ali

Hu, Jiaxi; Mougiakakou, Stavroula; Xue, Song; Afshar-Oromieh, Ali; Hautz, Wolf; Christe, Andreas; Sznitman, Raphael; Rominger, Axel; Ebner, Lukas; Shi, Kuangyu (2023). Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease. The European physical journal plus, 138(5), p. 391. Springer 10.1140/epjp/s13360-023-03745-4

Alberts, Ian Leigh

Hong, Jimin; Kang, Seung Kwan; Alberts, Ian; Lu, Jiaying; Sznitman, Raphael; Lee, Jae Sung; Rominger, Axel; Choi, Hongyoon; Shi, Kuangyu (2022). Image-level trajectory inference of tau pathology using variational autoencoder for Flortaucipir PET. European journal of nuclear medicine and molecular imaging, 49(9), pp. 3061-3072. Springer 10.1007/s00259-021-05662-z

Xue, Song; Guo, Rui; Bohn, Karl Peter; Matzke, Jared; Viscione, Marco; Alberts, Ian; Meng, Hongping; Sun, Chenwei; Zhang, Miao; Zhang, Min; Sznitman, Raphael; El Fakhri, Georges; Rominger, Axel; Li, Biao; Shi, Kuangyu (2022). A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET. European journal of nuclear medicine and molecular imaging, 49(6), pp. 1843-1856. Springer-Verlag 10.1007/s00259-021-05644-1

Alibert, Yann Daniel Pierre

Meier Valdes, Erik Andreas; Morris, B. M.; Demory, Brice-Olivier; Brandeker, A.; Kitzmann, Daniel; Benz, Willy; Deline, A.; Florén, H.-G.; Sousa, S. G.; Bourrier, V.; Singh, V.; Heng, Kevin; Strugarek, A.; Bower, Daniel James; Jäggi, Noah Victor; Carone, L.; Lendl, M.; Jones, Kathryn Dawn; Oza, Apurva Vikram; Demangeon, O. D. S.; ... (2023). Investigating the visible phase-curve variability of 55 Cnc e. Astronomy and astrophysics, 677, A112. EDP Sciences 10.1051/0004-6361/202346050

Amstutz, Christoph Andreas

Amstutz, Christoph A; Bechrakis, Nikolaos E; Foerster, Michael H; Heufelder, Jens; Kowal, Jens H (2012). Intraoperative localization of tantalum markers for proton beam radiation of choroidal melanoma by an opto-electronic navigation system: a novel technique. International journal of radiation oncology, biology, physics, 82(4), pp. 1361-6. New York, N.Y.: Elsevier 10.1016/j.ijrobp.2011.04.049

Broehan, A; Rudolph, T; Amstutz, C; Kowal, J (2011). Real-Time Multimodal Retinal Image Registration for a Computer Assisted Laser Photocoagulation System. IEEE transactions on biomedical engineering, 58(10), pp. 2816-24. New York, N.Y.: Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2011.2159860

Rudolph, T; Bröhan, AM; Amstutz, CA; Wolf, S; Kowal, JH (2011). Validation of a real-time retinal image registration method for a computer assisted laser photocoagulation system. In: Fort Lauderdale, USA.

Anguita Henríquez, Rodrigo Andrés

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). Analysis of optical coherence tomography biomarker probability detection in central serous chorioretinopathy by using an artificial intelligence-based biomarker detector. International journal of retina and vitreous, 10(42) BMC 10.1186/s40942-024-00560-6

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Anschütz, Lukas Peter

Hu, Suyi; Anschütz, Lukas Peter; Huth, Markus; Sznitman, Raphael; Blaser, Daniela; Kompis, Martin; Hall, Deborah A; Caversaccio, Marco; Wimmer, Wilhelm (2019). Association Between Residual Inhibition and Neural Activity in Patients with Tinnitus: Protocol for a Controlled Within- and Between-Subject Comparison Study. JMIR research protocols, 8(1), e12270. JMIR Publications 10.2196/12270

Anso, Juan

Anso, Juan; Gerber, Kate; Gerber, Nicolas; Schwalbe, Marius; Sznitman, Raphael; Weber, Stefan; Williamson, Tom; Wimmer, Wilhelm; Nabavi, Arya (eds.) (2016). CURAC 2016 Tagungsband: 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 29.09. – 01.10.2016, Bern. Uelvesbüll: Der Andere Verlag

Apostolopoulos, Stefanos

Giannakaki-Zimmermann, Helena; Huf, Wolfgang; Schaal, Karen Beate; Schürch, Kaspar Werner; Dysli, Chantal-Simone; Dysli, Denise-Muriel; Zenger, Anita; Ceklic, Lala; Ciller, Carlos; Apostolopoulos, Stefanos; De Zanet, Sandro; Sznitman, Raphael; Ebneter, Andreas; Zinkernagel, Martin; Wolf, Sebastian; Munk, Marion (2019). Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software. Translational vision science & technology, 8(3), p. 5. Association for Research in Vision and Ophthalmology 10.1167/tvst.8.3.5

Apostolopoulos, Stefanos; Sznitman, Raphael (2017). Efficient OCT volume reconstruction from slitlamp microscopes. IEEE transactions on biomedical engineering, 64(10), pp. 2403-2410. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2017.2657884

Apostolopoulos, Stefanos; De Zanet, Sandro; Ciller, Carlos; Wolf, Sebastian; Sznitman, Raphael (16 July 2017). Pathological OCT Retinal Layer Segmentation using Branch Residual U-style Networks. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).

Bajercius, Herkus

Garcia Henao, John Anderson; Depotter, Arno; Bower, Danielle V; Bajercius, Herkus; Todorova, Plamena Teodosieva; Saint-James, Hugo; de Mortanges, Aurélie Pahud; Barroso, Maria Cecilia; He, Jianchun; Yang, Junlin; You, Chenyu; Staib, Lawrence H; Gange, Christopher; Ledda, Roberta Eufrasia; Caminiti, Caterina; Silva, Mario; Cortopassi, Isabel Oliva; Dela Cruz, Charles S; Hautz, Wolf; Bonel, Harald M; ... (2023). A Multiclass Radiomics Method-Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans. Investigative radiology, 58(12), pp. 882-893. Wolters Kluwer Health 10.1097/RLI.0000000000001005

Bally, Lia Claudia

Bally, Lia; Züger, Thomas; Buehler, Tania; Dokumaci, Ayse Sila; Speck, Christian; Pasi, Nicola; Ciller, Carlos; Paganini, Daniela; Feller, Katrin Madeleine; Loher, Hannah; Rosset, Robin; Wilhelm, Matthias; Tappy, Luc; Boesch, Christoph Hans; Stettler, Christoph (2016). Metabolic and hormonal response to intermittent high-intensity and continuous moderate intensity exercise in individuals with type 1 diabetes: a randomised crossover study. Diabetologia, 59(4), pp. 776-784. Springer 10.1007/s00125-015-3854-7

Bally, Lia; Züger, Thomas; Pasi, Nicola; Ciller, Carlos; Paganini, Daniela; Stettler, Christoph (2016). Accuracy of continuous glucose monitoring during differing exercise conditions. Diabetes research and clinical practice, 112, pp. 1-5. Elsevier 10.1016/j.diabres.2015.11.012

Balsiger, Fabian

Jungo, Alain; Balsiger, Fabian; Reyes, Mauricio (2020). Analyzing the Quality and Challenges of Uncertainty Estimations for Brain Tumor Segmentation. Frontiers in neuroscience, 14(282), p. 282. Frontiers Research Foundation 10.3389/fnins.2020.00282

Bassetti, Claudio L.A.

Schindler, Kaspar A.; Nef, Tobias; Baud, Maxime; Tzovara, Athina; Yilmaz, Gürkan; Tinkhauser, Gerd; Gerber, Stephan M.; Gnarra, Oriella; Warncke, Jan D.; Schütz, Narayan; Knobel, Samuel E. J.; Schmidt, Markus H.; Krack, Paul; Fröhlich, Flavio; Sznitman, Raphael; Rothen, Simon; Bassetti, Claudio L.A. (2021). NeuroTec Sitem-Insel Bern: Closing the Last Mile in Neurology. Clinical and translational neuroscience, 5(2), p. 13. MDPI 10.3390/ctn5020013

Baud, Maxime

Beck, Thomas

Benz, Willy

Berger, Lieselotte Erika

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Steiner, Patrick; Ebneter, Andreas; Berger, Lieselotte Erika; Zinkernagel, Martin; Povazay, Boris; Meier, Christoph; Kowal, Horst Jens; Framme, Carsten Karl Josef; Brinkmann, Ralf; Wolf, Sebastian; Sznitman, Raphael (2015). Time-Resolved Ultra–High Resolution Optical Coherence Tomography for Real-Time Monitoring of Selective Retina Therapy. Investigative ophthalmology & visual science, 56(11), pp. 6654-6662. Association for Research in Vision and Ophthalmology 10.1167/iovs.15-17151

Steiner, Patrick; Meier, Christoph; Berger, Lieselotte Erika; Ebneter, Andreas; Zinkernagel, Martin; Wolf, Sebastian; Sznitman, Raphael (4 May 2015). Real-time ultra-high optical coherence tomography monitoring of optical tissue effects caused by selective retina therapy. In: ARVO Annual Meeting. ARVO

Berzigotti, Annalisa

Zbinden, Lukas; Catucci, Damiano; Suter, Yannick Raphael; Hulbert, Leona; Berzigotti, Annalisa; Brönnimann, Michael; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (2023). Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning. European journal of radiology, 167, p. 111047. Elsevier 10.1016/j.ejrad.2023.111047

Zbinden, Lukas; Catucci, Damiano; Suter, Yannick; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (2022). Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. Scientific Reports, 12(1) Nature Publishing Group 10.1038/s41598-022-26328-2

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (July 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe Dixon liver MRI using an artificial neural network (Unpublished). In: ECR 2022.

Zbinden, Lukas; Catucci, D; Suter, Y; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (June 2022). Effectiveness of a state-of-the art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished). In: SCR'22.

Zbinden, Lukas; Catucci, D; Suter, Y; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (June 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe Dixon liver MRI using an artificial neural network (Unpublished). In: SCR'22.

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Effectiveness of a state-of-the-art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Blaser, Daniela

Boesch, Christoph Hans

Bohn, Karl Peter

Bonel, Harald Marcel

Bower, Daniel James

Bower, Danielle Vera

Broeg, Christopher

Brönnimann, Michael

Büchler, Philippe

Frigelli, Matteo; Büchler, Philippe; Kling, Sabine (2024). Dynamic evaluation of corneal cross-linking and osmotic diffusion effects using optical coherence elastography. Scientific reports, 14(1), p. 16614. Springer Nature 10.1038/s41598-024-67278-1

Frigelli, Matteo; Büchler, Philippe; Kling, Sabine (2023). Optomechanical assessment of photorefractive corneal cross-linking via optical coherence elastography. Frontiers in Bioengineering and Biotechnology, 11, p. 1272097. Frontiers Media 10.3389/fbioe.2023.1272097

Bühler, Tania

Caldelari, Reto

Otesteanu, Corin F; Caldelari, Reto; Heussler, Volker; Sznitman, Raphael (2024). Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging. Computational and structural biotechnology journal, 24, pp. 334-342. Elsevier 10.1016/j.csbj.2024.04.029

Candinas, Daniel

Sampaio, Paulo; Lopez-Antuña, Maria; Storni, Federico; Wicht, Jonatan; Sökeland, Greta; Wartenberg, Martin; Márquez Neila, Pablo; Candinas, Daniel; Demory, Brice-Olivier; Perren, Aurel; Sznitman, Raphael (2023). Müller matrix polarimetry for pancreatic tissue characterization. Scientific Reports, 13(1), p. 16417. Nature Publishing Group 10.1038/s41598-023-43195-7

Hayoz, Michel; Hahne, Christopher; Gallardo, Mathias; Candinas, Daniel; Kurmann, Thomas; Allan, Maximilian; Sznitman, Raphael (2023). Learning how to robustly estimate camera pose in endoscopic videos. International journal of computer assisted radiology and surgery, 18(7), pp. 1185-1192. Springer 10.1007/s11548-023-02919-w

Gupta, Ankit; Paolucci, Iwan; Sznitman, Raphael; Weber, Stefan; Candinas, Daniel (4 September 2018). Video based instrument pose tracking in navigated laparoscopic surgery (Unpublished). In: International Hepato-Pancreato-Biliary Association Congress 2018. Geneva. 4-7 September 2018.

Catucci, Damiano Livio Aldo

Caversaccio, Marco

Chan, Andrew Hao-Kuang

McKinley, Richard; Wepfer, Rik; Aschwanden, Fabian; Grunder, Lorenz; Muri, Raphaela; Rummel, Christian; Verma, Rajeev; Weisstanner, Christian; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wagner, Franca; Wiest, Roland (2021). Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks. Scientific reports, 11(1), p. 1087. Springer Nature 10.1038/s41598-020-79925-4

Christe, Andreas

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Ebner, Lukas; Christodoulidis, Stergios; Stathopoulou, Thomai; Geiser, Thomas; Stalder, Odile; Limacher, Andreas; Heverhagen, Johannes; Mougiakakou, Stavroula; Christe, Andreas (2020). Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP). PLoS ONE, 15(1), e0226084. Public Library of Science 10.1371/journal.pone.0226084

Christodoulidis, Stergios

Ciller, Carlos

Ciller, Carlos; De Zanet, Sandro; Kamnitsas, Konstantinos; Maeder, Philippe; Glocker, Ben; Munier, Francis; Rueckert, Daniel; Thiran, Jean-Philippe; Bach Cuadra, Meritxell; Sznitman, Raphael (2017). Multi-channel MRI segmentation of eye structures and tumors using patient-specific features. PLoS ONE, 12(3), e0173900. Public Library of Science 10.1371/journal.pone.0173900

Ciller, Carlos; De Zanet, Sandro; Rüegsegger, Michael; Pica, Alessia; Sznitman, Raphael; Thiran, Jean-Philippe; Maeder, Philippe; Munier, Francis L.; Kowal, Horst Jens; Bach Cuadra, Meritxell (2015). Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A novel Statistical Shape Model for treatment planning of Retinoblastoma. International journal of radiation oncology, biology, physics, 92(4), pp. 794-802. Elsevier 10.1016/j.ijrobp.2015.02.056

De Zanet, Sandro; Ciller, Carlos; Kowal, Horst Jens (5 May 2014). Fusion of fundus images and MRI data of the human eye (Unpublished). In: ARVO Annual Meeting. Orlando, Florida. 04.-08.05.2014.

De Zanet, Sandro; Ciller, Carlos; Rudolph, Tobias; Maeder, P.; Munier, F.; Balmer, A.; Bach Cuadra, M.; Kowal, Horst Jens (2014). Landmark Detection for Fusion of Fundus and MRI Towards a Patient-Specific Multi-Modal Eye Model. IEEE transactions on biomedical engineering, 62(2), pp. 532-540. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2014.2359676

De Zanet, Sandro

De Zanet, Sandro; Rudolph, Tobias; Richa, Rogerio; Tappeiner, Christoph; Sznitman, Raphael (2016). Retinal slit lamp video mosaicking. International Journal of Computer Assisted Radiology and Surgery, 11(6), pp. 1035-1041. Springer 10.1007/s11548-016-1377-4

De Zanet, Sandro; Ciller, Carlos; Kowal, Horst Jens (5 May 2014). Fusion of fundus images and MRI data of the human eye (Unpublished). In: ARVO Annual Meeting. Orlando, Florida. 04.-08.05.2014.

De Zanet, Sandro; Rüegsegger, Michael; Rudolph, Tobias; Wolf, Sebastian; Kowal, Horst Jens (5 May 2013). Evaluation of Feature Detectors and Descriptors on the Iris (Unpublished). In: ARVO Annual Meeting. Seattle. 05.-09.05.2013.

De Zanet, Sandro; Menke, Marcel; Kowal, Horst Jens (5 May 2012). 3D Reconstruction Of The Retina Based On Images From Stereoscopic Microscopes (Unpublished). In: ARVO Annual Meeting. Fort Lauderdale. 06.-10.05.2012.

Demory, Brice-Olivier

Depotter, Arno Gerard Albert

Dokumaci, Ayse Sila

Doorenbos, Lars Jelte

Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2024). Learning non-linear invariants for unsupervised out-of-distribution detection. In: European Conference on Computer Vision.

Moghani, Masoud; Doorenbos, Lars; Panitch, William Chung-Ho; Huver, Sean; Azizian, Mahdi; Goldberg, Ken; Garg, Animesh (October 2024). SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants. In: International Conference on Intelligent Robots and Systems.

Doorenbos, Lars; Márquez Neila, Pablo; Sznitman, Raphael; Mettes, Pascal (2024). Hyperbolic Random Forests. Transactions on machine learning research, 2024(05) OpenReview.net

Jungo, Alain; Doorenbos, Lars; Da Col, Tommaso; Beelen, Maarten; Zinkernagel, Martin; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. International journal of computer assisted radiology and surgery, 18(6), pp. 1085-1091. Springer 10.1007/s11548-023-02909-y

Zbinden, Lukas; Doorenbos, Lars; Pissas, Theodoros; Huber, Adrian Thomas; Sznitman, Raphael; Márquez Neila, Pablo (2023). Stochastic Segmentation with Conditional Categorical Diffusion Models. In: International Conference on Computer Vision (ICCV) 2023. arxiv. Cornell University 10.48550/arXiv.2303.08888

Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2022). Data Invariants to Understand Unsupervised Out-of-Distribution Detection (In Press). In: European conference on computer vision.

Doorenbos, Lars Jelte; Sznitman, Raphael; Márquez Neila, Pablo (2022). SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. In: MICCAI 2021: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis. Proceedings. Lecture Notes in Computer Science: Vol. 13166 (pp. 111-118). Cham: Springer 10.1007/978-3-030-97281-3_17

Doorenbos, Lars Jelte; Torbaniuk, Olena; Cavuoti, Stefano; Paolillo, Maurizio; Longo, Giuseppe; Brescia, Massimo; Sznitman, Raphael; Márquez-Neila, Pablo (2022). ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. Astronomy and astrophysics, 666, A171. EDP Sciences 10.1051/0004-6361/202243900

Dotti, Prisca Rosa

Dotti, Prisca; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Márquez-Neila, Pablo; Wullschleger, Marcel; Sznitman, Raphael; Egger, Marcel (2024). A deep learning-based approach for efficient detection and classification of local Ca²⁺ release events in Full-Frame confocal imaging. Cell calcium, 121 Elsevier 10.1016/j.ceca.2024.102893

Dotti, Prisca R.; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Márquez-Neila, Pablo; Wullschleger, Marcel; Sznitman, Raphael; Egger, Marcel (10 February 2023). Detection and classification of Ca²⁺ release events in cardiomyocytes using 3D-UNet neural network. Biophysical journal, 122(3), 238a. Biophysical Society 10.1016/j.bpj.2022.11.1394

Dotti, Prisca; Márquez Neila, Pablo; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Wullschleger, Marcel; Meyer zu Westram, Till; Sznitman, Raphael; Egger, Marcel (May 2022). Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network (Unpublished). In: Bern Data Science Day 2022.

Dufour, Pascal André

Dufour, Pascal A; Ceklic, Lala; Abdillahi, Hannan; Schroder, Simon; De Dzanet, Sandro; Wolf-Schnurrbusch, Ute; Kowal, Jens (2013). Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints. IEEE transactions on medical imaging, 32(3), pp. 531-43. New York, N.Y.: Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2012.2225152

Dufour, Pascal A; Abdillahi, Hannan; Ceklic, Lala; Wolf-Schnurrbusch, Ute; Kowal, Jens (2012). Pathology hinting as the combination of automatic segmentation with a statistical shape model. In: Ayache, Nicholas; Delingette, Hervé; Golland, Polina; Mori, Kensaku (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Lecture Notes in Computer Science: Vol. 7512 (pp. 599-606). Berlin: Springer 10.1007/978-3-642-33454-2_74

Dysli, Chantal-Simone

Dysli, Chantal-Simone; Enzmann, Volker; Sznitman, Raphael; Zinkernagel, Martin (2015). Quantitative Analysis of Mouse Retinal Layers Using Automated Segmentation of Spectral Domain Optical Coherence Tomography Images. Translational vision science & technology, 4(4), p. 9. Association for Research in Vision and Ophthalmology 10.1167/tvst.4.4.9

Dysli, Denise-Muriel

Ebner, Lukas

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Ebneter, Andreas

Egger, Marcel

Enzmann, Volker

Steiner, Patrick; Enzmann, Volker; Wolf, Sebastian; Bossen, Anke; Meier, Christoph; Sznitman, Raphael (February 2015). Assessment of ultra-high resolution optical coherence tomography for monitoring tissue effects caused by laser photocoagulation of ex-vivo porcine retina. In: Photonics West, Optical Interactions with Tissue and Cells XXVI. Proc. SPIE: Vol. 9321 (p. 932112). SPIE 10.1117/12.2079351

Steiner, Patrick; Enzmann, Volker; Meier, Christoph; Povazay, Boris; Kowal, Horst Jens (2014). Retinal Laser Lesion Visibility in Simultaneous Ultra-High Axial Resolution Optical Coherence Tomography. IEEE Photonics Journal, 6(6), pp. 1-11. IEEE 10.1109/JPHOT.2014.2374594

Ermis, Ekin

Rüfenacht, Elias; Poel, Robert; Kamath, Amith; Ermis, Ekin; Scheib, Stefan; Fix, Michael K.; Reyes, Mauricio (2023). Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. Lecture notes in computer science, 14228, pp. 525-534. Cham: Springer 10.1007/978-3-031-43996-4_50

Kamath, Amith; Poel, Robert; Willmann, Jonas; Ermis, Ekin; Andratschke, Nicolaus; Reyes, Mauricio (2023). ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-4). IEEE 10.1109/EMBC40787.2023.10341062

Feller, Katrin Madeleine

Fernandez Tenorio, Miguel

Ferro Desideri, Lorenzo

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Fisher, Chloe Elizabeth

Márquez Neila, Pablo; Fisher, Chloe Elizabeth; Sznitman, Raphael; Heng, Kevin (2018). Supervised machine learning for analysing spectra of exoplanetary atmospheres. Nature astronomy, 2(9), pp. 719-724. Nature Publishing Group 10.1038/s41550-018-0504-2

Fix, Michael

Fortier, Andrea

Fountoukidou, Tatiana

Fountoukidou, Tatiana; Sznitman, Raphael (2023). A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading. Medical image analysis, 87(102822), p. 102822. Elsevier 10.1016/j.media.2023.102822

Fountoukidou, Tatiana; Raisin, Philippe Richard; Kaufmann, Daniel; Justiz, Jorn; Sznitman, Raphael; Wolf, Sebastian (2018). Motion-invariant SRT treatment detection from direct M-scan OCT imaging. International Journal of Computer Assisted Radiology and Surgery, 13(5), pp. 683-691. Springer 10.1007/s11548-018-1720-z

Mendizabal, A; Fountoukidou, Tatiana; Hermann, Jan; Sznitman, Raphael; Cotin, S (2018). A Combined Simulation and Deep Learning Approach for Image-based Force Estimation during Robotized Intravitreal Injections (In Press). In: In Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).

Framme, Carsten Karl Josef

Steiner, Patrick; Meier, Christoph; Framme, Carsten Karl Josef; Wolf, Sebastian; Kowal, Horst Jens (May 2012). High-Resolution Optical Coherence Tomography Imaging of Selective Retina Therapy Laser Lesions in the Retinal Pigment Epithelium (Unpublished). In: ARVO Annual Meeting. Fort Lauderdale, USA. Mai 2012.

Frigelli, Matteo

Kling, Sabine; Frigelli, Matteo; Aydemir, M Enes; Tahsini, Vahoora; Torres-Netto, Emilio A; Kollros, Leonard; Hafezi, Farhad (2024). Optical coherence tomography quantifies gradient refractive index and mechanical stiffness gradient across the human lens. Communications medicine, 4(162) Springer Nature 10.1038/s43856-024-00578-9

Gallardo, Mathias

Scandella, Davide; Gallardo, Mathias; Kucur, Serife S; Sznitman, Raphael; Unterlauft, Jan Darius (2024). Visual Field Prognosis From Macula and Circumpapillary Spectral Domain Optical Coherence Tomography. Translational vision science & technology, 13(6) Association for Research in Vision and Ophthalmology 10.1167/tvst.13.6.10

Gamazo Tejero, Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin; Wolf, Sebastian; Sznitman, Raphael (2023). Predicting OCT biological marker localization from weak annotations. Scientific Reports, 13(1), p. 19667. Nature Publishing Group 10.1038/s41598-023-47019-6

Gamazo Tejero, Angel Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin Sebastian; Wolf, Sebastian; Sznitman, Raphael (February 2023). Deep-learning model to localize biological markers on OCT volumes from weak annotations (Submitted). In: ARVO Anual Meeting 2023.

Habra, Oussama; Gallardo, Mathias; Meyer zu Westram, Till; De Zanet, Sandro; Jaggi, Damian; Zinkernagel, Martin; Wolf, Sebastian; Sznitman, Raphael (2022). Evaluation of an Artificial Intelligence-based Detector of Sub- and Intra-Retinal Fluid on a large set of OCT volumes in AMD and DME. Ophthalmologica, 245(6), pp. 516-527. Karger 10.1159/000527345

Marafioti, Andrés; Hayoz, Michel; Gallardo, Mathias; Márquez Neila, Pablo; Wolf, Sebastian; Zinkernagel, Martin; Sznitman, Raphael (September 2021). CataNet: Predicting remaining cataract surgery duration. In: MICCAI 2021, 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science: Vol. 12904 (pp. 426-435). Springer 10.1007/978-3-030-87202-1_41

Gallardo, Mathias; Munk, Marion R.; Kurmann, Thomas Kevin; De Zanet, Sandro; Mosinska, Agata; Karagoz, Isıl Kutlutürk; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael (2021). Machine learning can predict anti-VEGF treatment demand in a Treat-and-Extend regimen for patients with nAMD, DME and RVO associated ME. Ophthalmology retina, 5(7), pp. 604-624. Elsevier 10.1016/j.oret.2021.05.002

Gamazo Tejero, Angel Javier

Gamazo Tejero, Javier; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael; Márquez Neila, Pablo (18 June 2023). Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. In: 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) (pp. 11381-11391). IEEE 10.1109/CVPR52729.2023.01095

Ghamsarian, Negin; Gamazo Tejero, Javier; Márquez-Neila, Pablo; Wolf, Sebastian; Zinkernagel, Martin; Schoeffmann, Klaus; Sznitman, Raphael (2023). Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science: Vol. 14220 (pp. 331-341). Springer 10.1007/978-3-031-43907-0_32

Garcia Henao, John Anderson

Geiser, Thomas

Gerber, Kate

Gerber, Nicolas

Gerber, Stephan Moreno

Ghamsarian, Negin

Ghamsarian, Negin; Wolf, Sebastian; Zinkernagel, Martin; Schoeffmann, Klaus; Sznitman, Raphael (2024). DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. International journal of computer assisted radiology and surgery, 19(5), pp. 851-859. Springer 10.1007/s11548-023-03046-2

Ghamsarian, Negin; El-Shabrawi, Yosuf; Nasirihaghighi, Sahar; Putzgruber-Adamitsch, Doris; Zinkernagel, Martin; Wolf, Sebastian; Schoeffmann, Klaus; Sznitman, Raphael (2024). Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos. Scientific data, 11(373) Nature Publishing Group 10.1038/s41597-024-03193-4

Nasirihaghighi, Sahar; Ghamsarian, Negin; Husslein, Heinrich; Schoeffmann, Klaus (2024). Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers. In: 30th International Conference on Multimedia Modeling. 10.1007/978-3-031-56435-2_7

Ghamsarian, Negin; Putzgruber-Adamitsch, Doris; Sarny, Stephanie; Sznitman, Raphael; Schoeffmann, Klaus; El-Shabrawi, Yosuf (2024). Predicting postoperative intraocular lens dislocation in cataract surgery via deep learning. IEEE Access IEEE 10.1109/ACCESS.2024.3361042

Nasirihaghighi, Sahar; Ghamsarian, Negin; Stefanics, Daniela; Schoeffmann, Klaus; Husslein, Heinrich (2023). Action recognition in video recordings from gynecologic laparoscopy. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 10.1109/CBMS58004.2023.00187

Ghamsarian, Negin; Taschwer, Mario; Sznitman, Raphael; Schoeffmann, Klaus (2022). DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Science: Vol. 13435 (pp. 276-286). Springer 10.1007/978-3-031-16443-9_27

Gnarra, Oriella

Grossrieder, Jan

Lejeune, Laurent Georges Pascal; Grossrieder, Jan; Sznitman, Raphael (2018). Iterative multi-path tracking for video and volume segmentation with sparse point supervision. Medical image analysis, 50, pp. 65-81. Elsevier 10.1016/j.media.2018.08.007

Grunder, Lorenz Nicolas

Gräni, Christoph

Eichhorn, Christian; Greulich, Simon; Bucciarelli-Ducci, Chiara; Sznitman, Raphael; Kwong, Raymond Y; Gräni, Christoph (2022). Multiparametric Cardiovascular Magnetic Resonance Approach in Diagnosing, Monitoring, and Prognostication of Myocarditis. JACC. Cardiovascular imaging, 15(7), pp. 1325-1338. Elsevier 10.1016/j.jcmg.2021.11.017

Gupta, Ankit

Habra, Oussama

Christ, Merlin; Habra, Oussama; Monnin, Killian; Vallotton, Kevin; Sznitman, Raphael; Wolf, Sebastian; Zinkernagel, Martin; Márquez Neila, Pablo (2024). Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography. Translational vision science & technology, 13(4) Association for Research in Vision and Ophthalmology 10.1167/tvst.13.4.1

Hahne, Christopher

Hahne, Christopher (2023). 3-Dimensional Sonic Phase-invariant Echo Localization. In: 2023 IEEE International Conference on Robotics and Automation (ICRA). 10.1109/ICRA48891.2023.10161199

Hahne, Christopher; Sznitman, Raphael (2023). Geometric Ultrasound Localization Microscopy. In: Greenspan, Hayit; Madabhushi, Anant; Mousavi, Parvin; Salcudean, Septimiu; Duncan, James; Syeda-Mahmood, Tanveer; Taylor, Russell (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science: Vol. 14229 (pp. 217-227). Cham: Springer Nature Switzerland

Hahne, Christopher; Chabouh, Georges; Couture, Olivier; Sznitman, Raphael (2023). Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data. In: 2023 IEEE International Ultrasonics Symposium (IUS). 10.1109/IUS51837.2023.10307592

Hahne, Christopher (2022). Multimodal Exponentially Modified Gaussian Oscillators. In: 2022 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE 10.1109/ius54386.2022.9958253

Haug, Sigve

Nilius, Henning; Cuker, Adam; Haug, Sigve; Nakas, Christos; Studt, Jan-Dirk; Tsakiris, Dimitrios A; Greinacher, Andreas; Mendez, Adriana; Schmidt, Adrian; Wuillemin, Walter A; Gerber, Bernhard; Kremer, Johanna A; Vishnu, Prakash; Graf, Lukas; Kashev, Alexander; Sznitman, Raphael; Bakchoul, Tamam; Nagler, Michael (2023). A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: A prospective, multicenter, observational study. EClinicalMedicine, 55, p. 101745. Elsevier 10.1016/j.eclinm.2022.101745

Hautz, Wolf

Hayoz, Michel

Heng, Kevin

Hermann, Jan

Heussler, Volker

Heverhagen, Johannes

Hong, Jimin

Hu, Jiaxi

Hu, Suyi

Huber, Adrian Thomas

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Huber, Nina Diana

Stapelfeldt, Jan; Kucur, Serife Seda; Huber, Nina; Höhn, René; Sznitman, Raphael (2021). Virtual Reality-Based and Conventional Visual Field Examination Comparison in Healthy and Glaucoma Patients. Translational vision science & technology, 10(12), p. 10. Association for Research in Vision and Ophthalmology 10.1167/tvst.10.12.10

Huth, Markus

Höhn, René Gerhard Joachim

Iliev, Milko Emilov

Jaggi, Damian

Janicek, Radoslav

Jones, Kathryn Dawn

Jungo, Alain

Jäggi, Noah Victor

Kamath, Amith Jagannath

Pahud de Mortanges, Aurélie; Luo, Haozhe; Shu, Shelley Zixin; Kamath, Amith; Suter, Yannick; Shelan, Mohamed; Pöllinger, Alexander; Reyes, Mauricio (2024). Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. NPJ digital medicine, 7(1) Nature Publishing Group 10.1038/s41746-024-01190-w

Kamath, Amith; Poel, Robert; Willmann, Jonas; Andratschke, Nicolaus; Reyes, Mauricio (2023). How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE 10.1109/ISBI53787.2023.10230559

Kashev, Alexander

Kitzmann, Daniel

Kling, Sabine

Tahsini, Vahoura; Gil, Iulen Cabeza; Kling, Sabine (2024). Storage-induced mechanical changes of porcine lenses assessed with optical coherence elastography and inverse finite element modeling. Frontiers in Bioengineering and Biotechnology, 12 Frontiers Media 10.3389/fbioe.2024.1398659

García de Oteyza, Gonzalo; Álvarez de Toledo, Juan; Barraquer, Rafael I; Kling, Sabine (2023). Localized Refractive Changes Induced by Symmetric and Progressive Asymmetric Intracorneal Ring Segments Assessed with a 3D Finite-Element Model. Bioengineering, 10(9) MPDI 10.3390/bioengineering10091014

Cabeza Gil, Iulen; Tahsini, Vahoura; Kling, Sabine (2023). Viscoelastic properties of porcine lenses using optical coherence elastography and inverse finite element analysis. Experimental eye research, 233(109558), p. 109558. Elsevier 10.1016/j.exer.2023.109558

Knecht, Urspeter

Suter, Yannick; Notter, Michelle; Meier, Raphael; Loosli, Tina; Schucht, Philippe; Wiest, Roland; Reyes, Mauricio; Knecht, Urspeter (2023). Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. Frontiers in radiology, 3(1211859), p. 1211859. Frontiers Media 10.3389/fradi.2023.1211859

Knobel, Samuel Elia Johannes

Kompis, Martin

Kowal, Horst Jens

Steiner, Patrick; Kowal, Horst Jens; Povazay, Boris; Meier, Christoph; Sznitman, Raphael (2015). Automatic estimation of noise parameters in Fourier-domain optical coherence tomography cross sectional images using statistical information. Applied optics, 54(12), pp. 3650-3657. Optical Society of America 10.1364/AO.54.003650

De Zanet, Sandro; Ciller, Carlos; Kowal, Horst Jens (5 May 2014). Fusion of fundus images and MRI data of the human eye (Unpublished). In: ARVO Annual Meeting. Orlando, Florida. 04.-08.05.2014.

Steiner, Patrick; Ernst, Dominik; Meier, Christoph; Kowal, Horst Jens (May 2013). Quality Assessment and Enhancement Method for high-resolution Fourier-Domain OCT Imaging of Retina Laser Lesions (Unpublished). In: European Conference on Biomedical Optics. München, Deutschland. Mai 2013.

Rueegsegger, Michael; Bach-Cuadra, Merixtel; Pica, Allessia; Amstutz, Christoph; Rudolph, Tobias; Aebersold, Daniel; Kowal, Jens (2012). Statistical modeling of the eye for multimodal treatment planning for external beam radiotherapy of intraocular tumors. Strahlentherapie und Onkologie, 188(8), p. 751. Heidelberg: Springer-Medizin-Verlag

Krack, Paul

Kremer Hovinga Strebel, Johanna Anna

Kucur, Serife Seda

Kucur, Serife Seda; Sznitman, Raphael (2017). Sequentially Optimized Reconstruction Strategy: A Meta-Strategy for Perimetry Testing. PLoS ONE, 12(10), pp. 1-20. Public Library of Science 10.1371/journal.pone.0185049

Wild, Derk Sven Gard; Kucur, Serife Seda; Sznitman, Raphael (2017). Spatial Entropy Pursuit for Fast and Accurate Perimetry Testing. Investigative ophthalmology & visual science, 58(9), pp. 3414-3424. Association for Research in Vision and Ophthalmology 10.1167/iovs.16-21144

Zbinden, Sarah; Steiner, Patrick; Kucur, Serife Seda; Wolf, Sebastian; Sznitman, Raphael (2016). Automatic assessment of time-resolved OCT images for selective retina therapy. International Journal of Computer Assisted Radiology and Surgery, 11(6), pp. 863-871. Springer 10.1007/s11548-016-1383-6

Kurmann, Thomas Kevin

Kurmann, Thomas; Márquez-Neila, Pablo; Allan, Max; Wolf, Sebastian; Sznitman, Raphael (2021). Mask then classify: multi-instance segmentation for surgical instruments. International journal of computer assisted radiology and surgery, 16(7), pp. 1227-1236. Springer 10.1007/s11548-021-02404-2

Munk, Marion R.; Kurmann, Thomas; Márquez-Neila, Pablo; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael (2021). Assessment of patient specific information in the wild on fundus photography and optical coherence tomography. Scientific reports, 11(1), p. 8621. Springer Nature 10.1038/s41598-021-86577-5

Kurmann, Thomas Kevin; Márquez-Neila, Pablo; Yu, Siqing; Munk, Marion; Wolf, Sebastian; Sznitman, Raphael (2019). Fused Detection of Retinal Biomarkers in OCT Volumes. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) MICCAI 2019. Lecture Notes in Computer Science: Vol. 11764 (pp. 255-263). Cham: Springer International Publishing 10.1007/978-3-030-32239-7_29

Kurmann, Thomas; Márquez-Neila, Pablo; Wolf, Sebastian; Sznitman, Raphael (2019). Deep Multi-label Classification in Affine Subspaces. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) MICCAI 2019. Lecture Notes in Computer Science: Vol. 11764 (pp. 165-173). Cham: Springer International Publishing 10.1007/978-3-030-32239-7_19

Du, Xiaofei; Kurmann, Thomas Kevin; Chang, Ping-Lin; Allan, Maximillian; Ourselin, Sebastian; Sznitman, Raphael; Kelly, John; Stoyanov, Danail (2018). Articulated Multi-Instrument 2D Pose Estimation Using Fully Convolutional Networks. IEEE transactions on medical imaging, 37(5), pp. 1276-1287. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2017.2787672

Kurmann, Thomas Kevin; Màrquez Neila, Pablo; Du, Xiaofei; Fua, Pascal; Stoyanov, Danail; Wolf, Sebastian; Sznitman, Raphael (18 October 2017). Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science: Vol. 10434 (pp. 505-513). Springer 10.1007/978-3-319-66185-8_57

Leichtle, Alexander Benedikt

Lejeune, Laurent Georges Pascal

Lejeune, Laurent; Sznitman, Raphael (2021). A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision. Medical image analysis, 73, p. 102185. Elsevier 10.1016/j.media.2021.102185

Lejeune, Laurent Georges Pascal; Christoudias, Mario; Sznitman, Raphael (16 July 2017). Expected exponential loss for gaze-based video and volume ground truth annotation. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LABELS - Workshop. 10.1007/978-3-319-67534-3_12

Limacher, Andreas

Loher, Hannah

Lopez-Antuña, Maria

Lu, Jiaying

Manser, Peter

Marafioti, Andrés

McKinley, Richard Iain

Meier, Raphael

Pinto, Adriano; Pereira, Sérgio; Meier, Raphael; Wiest, Roland; Alves, Victor; Reyes, Mauricio; Silva, Carlos A (2021). Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical image analysis, 69(101888), p. 101888. Elsevier 10.1016/j.media.2020.101888

Meier Valdes, Erik Andreas

Menke, Marcel

Meyer zu Westram, Till

Mordasini, Christoph

Mougiakakou, Stavroula

Munk, Marion

Muri, Raphaela

Márquez Neila, Pablo

Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2024). Learning non-linear invariants for unsupervised out-of-distribution detection. In: European Conference on Computer Vision.

Küchlin, Sebastian; Ihorst, Gabriele; Heinrich, Sven P; Márquez Neila, Pablo; Albrecht, Philipp; Hug, Martin J; Lagrèze, Wolf A (2024). Visual Pathway Outcomes Based on Sample Size in Clinical Neuroprotection Research. JAMA neurology, 81(5), pp. 553-554. American Medical Association 10.1001/jamaneurol.2024.0462

Küchlin, Sebastian; Ihorst, Gabriele; Heinrich, Sven P; Márquez Neila, Pablo; Albrecht, Philipp; Hug, Martin J; Diem, Ricarda; Lagrèze, Wolf A (2024). Disease Course of Clinically Isolated Optic Neuritis. Neurology: Neuroimmunology and Neuroinflammation, 11(3) Wolters Kluwer Health 10.1212/NXI.0000000000200223

Doorenbos, Lars; Márquez Neila, Pablo; Sznitman, Raphael; Mettes, Pascal (2024). Hyperbolic Random Forests. Transactions on machine learning research, 2024(05) OpenReview.net

Wu, Fei Hugo; Marquez Neila, Pablo; Zheng, Mingyi; Rafii-Tari, Hedyeh; Sznitman, Raphael (January 2024). Correlation-aware active learning for surgery video segmentation. In: WACV. IEEE/CVF

Tascon Morales, Sergio; Márquez Neila, Pablo; Sznitman, Raphael (2024). Targeted Visual Prompting for Medical Visual Question Answering (Submitted). In: The Third Workshop on Applications of Medical AI (AMAI). Marrakesh, Morocco. October 6 , 2024.

Otesteanu, Corin F.; Robledo, Lucio; Zinkernagel, Martin; Sznitman, Raphael; Márquez Neila, Pablo (6 January 2023). Retinal image registration approach in optical coherence tomography and fluorescence imaging (In Press). Investigative ophthalmology & visual science. Association for Research in Vision and Ophthalmology

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Logical Implications for Visual Question Answering Consistency. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). Vancouver. Jun 18-22, 2023.

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Localized Questions in Medical Visual Question Answering. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science: Vol. 14221 (pp. 361-370). Springer 10.1007/978-3-031-43895-0_34

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2022). Consistency-preserving Visual Question Answering in Medical Imaging. Lecture notes in computer science, 13438, pp. 386-395. Springer 10.1007/978-3-031-16452-1_37

Márquez-Neila, Pablo; Sznitman, Raphael (2019). Image Data Validation for Medical Systems. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science: Vol. 11767 (pp. 329-337). Cham: Springer 10.1007/978-3-030-32251-9_36

Nagler, Michael

Nakas, Christos T.

Nef, Tobias

Nguyen, Huu Giao

Nguyen, Huu Giao; Sznitman, Raphael; Maeder, Philippe; Schalenbourg, Ann; Peroni, Marta; Hrbacek, Jan; Weber, Damien Charles; Pica, Alessia; Bach Cuadra, Meritxell (2018). Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma. International journal of radiation oncology, biology, physics, 102(4), pp. 813-820. Elsevier 10.1016/j.ijrobp.2018.05.004

Nilius, Henning Jürgen Jean

Obmann, Verena Carola

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Otesteanu, Corin-Felix

Oza, Apurva Vikram

Pahud de Mortanges, Aurélie Hortense Caroline

Paolucci, Iwan

Perren, Aurel

Pica, Alessia

Pissas, Theodoros

Poel, Robert

Pöllinger, Alexander

Silva, Wilson; Pöllinger, Alexander; Cardoso, Jaime S.; Reyes, Mauricio (2020). Interpretability-Guided Content-Based Medical Image Retrieval. Lecture notes in computer science, 12261, pp. 305-314. Cham: Springer 10.1007/978-3-030-59710-8_30

Raisin, Philippe Richard

Reyes, Mauricio

Mahapatra, Dwarikanath; Bozorgtabar, Behzad; Ge, Zongyuan; Reyes, Mauricio (2024). GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical image analysis, 93(103075), p. 103075. Elsevier 10.1016/j.media.2023.103075

You, Suhang; Wiest, Roland; Reyes, Mauricio (2024). SaRF: Saliency regularized feature learning improves MRI sequence classification. Computer methods and programs in biomedicine, 243(107867), p. 107867. Elsevier 10.1016/j.cmpb.2023.107867

Gassner, Mathias; Barranco Garcia, Javier; Tanadini-Lang, Stephanie; Bertoldo, Fabio; Fröhlich, Fabienne; Guckenberger, Matthias; Haueis, Silvia; Pelzer, Christin; Reyes, Mauricio; Schmithausen, Patrick; Simic, Dario; Staeger, Ramon; Verardi, Fabio; Andratschke, Nicolaus; Adelmann, Andreas; Braun, Ralph P (2023). Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study. JMIR dermatology, 6(e42129), e42129. JMIR Publications 10.2196/42129

You, Suhang; Tomar, Devavrat; Bozorgtabar, Behzad; Reyes, Mauricio (2023). Sagtta: saliency guided test time augmentation for medical image segmentation across vendor domain shift. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023. 10.1109/ISBI53787.2023.10230764

Reyes, Mauricio (2023). MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision (arXiv). Cornell University

You, Suhang; Reyes, Mauricio (2022). Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation. Frontiers in neuroimaging, 1(1012639), p. 1012639. Frontiers 10.3389/fnimg.2022.1012639

Kang, Miao; Hu, Xiaojun; Huang, Weilin; Scott, Matthew R; Reyes, Mauricio (2022). Dual-stream pyramid registration network. Medical image analysis, 78, p. 102379. Elsevier 10.1016/j.media.2022.102379

Reyes Aguirre, Mauricio Antonio

Liew, Sook-Lei; Lo, Bethany P; Donnelly, Miranda R; Zavaliangos-Petropulu, Artemis; Jeong, Jessica N; Barisano, Giuseppe; Hutton, Alexandre; Simon, Julia P; Juliano, Julia M; Suri, Anisha; Wang, Zhizhuo; Abdullah, Aisha; Kim, Jun; Ard, Tyler; Banaj, Nerisa; Borich, Michael R; Boyd, Lara A; Brodtmann, Amy; Buetefisch, Cathrin M; Cao, Lei; ... (2022). A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. Scientific data, 9(1), p. 320. Nature Publishing Group 10.1038/s41597-022-01401-7

Menze, Bjoern; Isensee, Fabian; Wiest, Roland; Wiestler, Bene; Maier-Hein, Klaus; Reyes, Mauricio; Bakas, Spyridon (2021). Analyzing Magnetic Resonance Imaging Data from Glioma Patients using Deep Learning. Computerized medical imaging and graphics, 88, p. 101828. Elsevier 10.1016/j.compmedimag.2020.101828

Hu, Xiaojun; Luo, Weijian; Hu, Jiliang; Guo, Sheng; Huang, Weilin; Scott, Matthew R; Wiest, Roland; Dahlweid, Michael; Reyes, Mauricio (2020). Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC medical imaging, 20(1), p. 17. BioMed Central 10.1186/s12880-020-0409-2

Rominger, Axel Oliver

Rudolph, Tobias

Rummel, Christian

Rüegsegger, Michael

Rüfenacht, Elias

Salmen, Anke

Sampaio, Paulo

Scandella, Davide

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Schaal, Karen Beate

Schindler, Kaspar

Schmidt, Markus Helmut

Schucht, Philippe

Schwalbe, Marius

Schürch, Kaspar Werner

Schütz, Narayan

Shelan, Mohamed

Shi, Kuangyu

Shu, Zixin

Stalder, Odile

Stapelfeldt, Jan

Stathopoulou, Thomai

Steiner, Patrick

Stettler, Christoph

Storni, Federico Lorenzo

Suter, Yannick Raphael

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Sznitman, Raphael

Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2024). Learning non-linear invariants for unsupervised out-of-distribution detection. In: European Conference on Computer Vision.

Doorenbos, Lars; Márquez Neila, Pablo; Sznitman, Raphael; Mettes, Pascal (2024). Hyperbolic Random Forests. Transactions on machine learning research, 2024(05) OpenReview.net

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Wu, Fei Hugo; Marquez Neila, Pablo; Zheng, Mingyi; Rafii-Tari, Hedyeh; Sznitman, Raphael (January 2024). Correlation-aware active learning for surgery video segmentation. In: WACV. IEEE/CVF

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Vander Poorten, Emmanuel; Riviere, Cameron N.; Abbott, Jake J.; Bergeles, Christos; Nasseri, M. Ali; Kang, Jin U.; Sznitman, Raphael; Faridpooya, Koorosh; Iordachita, Iulian (2020). Robotic Retinal Surgery. In: Handbook of Robotic and Image-Guided Surgery (pp. 627-672). Elsevier 10.1016/B978-0-12-814245-5.00036-0

Vu, Minh H.; Löfstedt, Tommy; Nyholm, Tufve; Sznitman, Raphael (2020). A Question-Centric Model for Visual Question Answering in Medical Imaging. IEEE transactions on medical imaging, 39(9), pp. 2856-2868. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2020.2978284

Konyushkova, Ksenia; Sznitman, Raphael; Fua, Pascal (2019). Geometry in active learning for binary and multi-class image segmentation. Computer vision and image understanding, 182, pp. 1-16. Elsevier 10.1016/j.cviu.2019.01.007

Mendizabal, Andrea; Sznitman, Raphael; Cotin, Stephane (2019). Force classification during robotic interventions through simulation-trained neural networks. International Journal of Computer Assisted Radiology and Surgery, 14(9), pp. 1601-1610. Springer-Verlag 10.1007/s11548-019-02048-3

Vu, Minh H.; Sznitman, Raphael; Nyholm, Tufve; Löfstedt, Tommy (2019). Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF2019 Challenge in the Medical Domain. In: CLEF 2019. Lugano, Switzerland. 9-12 September 2019.

Nguyen, Huu-Giao; Pica, Alessia; Rosa, Francesco La; Hrbacek, Jan; Weber, Damien C.; Schalenbourg, Ann; Sznitman, Raphael; Cuadra, Meritxell Bach (2019). A novel segmentation framework for uveal melanoma based on magnetic resonance imaging and class activation maps. In: Medical Image with Deep Learning Conference. Proceedings of Machine Learning Research.

De Zanet, Sandro; Ciller, Carlos; Apostolopoulos, Stefanos; Wolf, Sebastian; Sznitman, Raphael (2019). OCT layer Segmentation. In: Trucco, Emanuele; MacGillivray, Tom; Xu, Yanwu (eds.) Computational Retinal Image Analysis (pp. 121-133). Elsevier 10.1016/B978-0-08-102816-2.00007-1

Glowacki, Przemyslaw; Pinheiro, Miguel Amavel; Mosinska, Agata; Turetken, Engin; Lebrecht, Daniel; Holtmaat, Anthony; Sznitman, Raphael; Kybic, Jan; Fua, Pascal (2018). Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE transactions on pattern analysis and machine intelligence, 40(3), pp. 755-761. IEEE Computer Society 10.1109/TPAMI.2017.2680444

Konyushkova, Ksenia; Sznitman, Raphael; Fua, Pascal (2017). Learning Active Learning from Data (In Press). In: Conference on Neural Information Processing Systems (NIPS).

Mosinska, A; Sznitman, Raphael; Glowacki, P; Fua, P (2016). Active Learning for Delineation of Curvilinear Structures. In: Computer Vision and Pattern Recognition. CVPR 2016.

Sznitman, Raphael; Serradell, Eduard; Pinheiro, Miguel; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (2015). Non-Rigid Graph Registration using Active Testing Search (In Press). IEEE transactions on pattern analysis and machine intelligence IEEE Computer Society

Koren, Yelena; Sznitman, Raphael; Arratia, Paulo E.; Carls, Christopher; Krajacic, Predrag; Brown, André E.X.; Sznitman, Josué (2015). Model-independent phenotyping of C. elegans locomotion using Scale-Invariant Feature Transform. PLoS ONE, 10(3), e0122326. Public Library of Science 10.1371/journal.pone.0122326

Rajan, Purnima; Han, Weidong; Sznitman, Raphael; Frazier, Peter; Jedynak, Bruno (2015). Bayesian Multiple Target Localization. Journal of Machine Learning Research, 37, pp. 1945-1953. Microtome Publishing

Greenblum, Ayala; Sznitman, Raphael; Fua, Pascal; Arratia, Paulo E; Oren, Micheal; Podbilewicz, Beni; Sznitman, Josue (2014). Dendritic tree extraction from noisy maximum intensity projection images in C. elegans. Biomedical engineering online, 13(1), p. 74. BioMed Central 10.1186/1475-925X-13-74

Sznitman, Raphael; Becker, Carlos; Fua, Pascal (2014). Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. In: Golland, Polina; Hata, Nobuhiko; Barillot, Christian; Hornegger, Joachim; Howe, Robert (eds.) 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science: Vol. 8674 (pp. 692-699). Springer 10.1007/978-3-319-10470-6_86

Glowacki, P; Pinheiro, M; Turetken, E; Sznitman, Raphael; Lebrecht, D; Kybic, J; Holtmaat, A; Fua, P (2014). Reconstructing Evolving Tree Structures in Time Lapse Sequences. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3035-3042). IEEE 10.1109/CVPR.2014.388

Greenblum, Ayala; Sznitman, Raphael; Fua, Pascal; Arratia, Paulo E.; Sznitman, Josue (2014). Caenorhabditis elegant segmentation using texture-based models for motility phenotyping. IEEE transactions on biomedical engineering, 61(8), pp. 2278-2289. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2014.2298612

Sznitman, Raphael; Richa, Rogerio; Taylor, Russell; Jedynak, Bruno; Hager, Gregory (2013). Unified detection and tracking of instruments during retinal microsurgery. IEEE transactions on pattern analysis and machine intelligence, 35(5), pp. 1263-1273. IEEE Computer Society 10.1109/TPAMI.2012.209

Sznitman, Raphael; Becker, Carlos; Fleuret, Francois; Fua, Pascal (2013). Fast Object Detection with Entropy-Driven Evaluation. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3270-3277). IEEE 10.1109/cvpr.2013.420

Sznitman, Raphael; Lucchi, Aurelien; Cantoni, Marco; Knott, Graham; Fua, Pascal (2013). Flash Scanning Electron Microscopy. In: Mori, Kensaku; Sakuma, Ichiro; Sato, Yoshinobu; Barillot, Christian; Navab, Nassir (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. Lecture Notes in Computer Science: Vol. 8151 (pp. 413-420). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-40760-4_52

Pinheiro, Miguel Amável; Sznitman, Raphael; Serradell, Eduard; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (2013). Active Testing Search for Point Cloud Matching. In: Gee, James C.; Joshi, Sarang; Pohl, Kilian M.; Wells, William M.; Zöllei, Lilla (eds.) Information Processing in Medical Imaging - IPMI 2013. Lecture Notes in Computer Science: Vol. 7917 (pp. 572-583). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-38868-2_48

Richa, Rogerio; Balicki, Marcin; Sznitman, Raphael; Meisner, Eric; Taylor, Russell; Hager, Gregory (2012). Vision-based Proximity Detection in Retinal Surgery. IEEE transactions on biomedical engineering, 59(9), pp. 2291-2301. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2012.2202903

Jedynak, Bruno; Frazier, Peter; Sznitman, Raphael (2012). Twenty questions with noise: Bayes optimal policies for entropy loss. Journal of Applied Probability, 49(1), pp. 114-136. Applied Probability Trust

Sznitman, Raphael; Lucchi, Aurelien; Pjescic-Emedji, Natasa; Knott, Graham; Fua, Pascal (2012). Efficient Scanning for EM Based Target Localization. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Lecture Notes in Computer Science: Vol. 7512 (pp. 337-344). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-33454-2_42

Sznitman, Raphael; Ali, Karim; Richa, Rogério; Taylor, Russell H.; Hager, Gregory D.; Fua, Pascal (2012). Data-Driven Visual Tracking in Retinal Microsurgery. In: Ayache, Nicholas; Delingette, Hervé; Golland, Polina; Mori, Kensaku (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Lecture Notes in Computer Science: Vol. 7511 (pp. 568-575). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-33418-4_70

Richa, Rogério; Balicki, Marcin; Meisner, Eric; Sznitman, Raphael; Taylor, Russell; Hager, Gregory (2011). Visual Tracking of Surgical Tools for Proximity Detection in Retinal Surgery. In: Information Processing in Computer-Assisted Interventions - IPCAI 2011. Lecture Notes in Computer Science: Vol. 6689 (pp. 55-66). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-21504-9_6

Sznitman, Raphael; Basu, Anasuya; Richa, Rogerio; Handa, Jim; Gehlbach, Peter; Taylor, Russell H.; Jedynak, Bruno; Hager, Gregory D. (2011). Unified Detection and Tracking in Retinal Microsurgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. Lecture Notes in Computer Science: Vol. 6891 (pp. 1-8). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-23623-5_1

Sznitman, Raphael; Jedynak, Bruno (2010). Active Testing for Face Detection and Localization. IEEE transactions on pattern analysis and machine intelligence, 32(10), pp. 1914-1920. IEEE Computer Society

Sznitman, Raphael; Gupta, Manaswi; Hager, Gregory; Arratia, Paulo; Sznitman, Josue (2010). Multi-Environment Model Estimation for Motility Analysis of Caernorhabditis elegans. PLoS ONE, 5(7), e11631. Public Library of Science 10.1371/journal.pone.0011631

Sznitman, Raphael; Billings, Seth; Rother, Diego; Mirota, Daniel; Yang, Yi; Handa, Jim; Gehlbach, Peter; Kang, Jin U.; Hager, Gregory D.; Taylor, Russell (2010). Active Multispectral Illumination and Image Fusion for Retinal Microsurgery. In: Navab, Nassir; Jannin, Pierre (eds.) Information Processing in Computer-Assisted Interventions - IPCAI 2010. Lecture Notes in Computer Science: Vol. 6135 (pp. 12-22). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-13711-2_2

Sznitman, J.; Shen, X.; Sznitman, Raphael; Arratia, P. E. (2010). Propulsive force measurements and flow behavior of undulatory swimmers at low Reynolds number. Physics of Fluids, 22(12), p. 121901. AIP Publishing 10.1063/1.3529236

Sznitman, Raphael; Rother, Diego; Handa, Jim; Gehlbach, Peter; Hager, Gregory D.; Taylor, Russell (2010). Adaptive Multispectral Illumination for Retinal Microsurgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Lecture Notes in Computer Science: Vol. 6363 (pp. 465-472). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-15711-0_58

Sökeland, Greta Charlotte

Tahsini, Vahoura

Tappeiner, Christoph

Tascon Morales, Sergio

Thomas, Nicolas

Tinkhauser, Gerd

Todorova, Plamena Teodosieva

Tzovara, Athina

Unterlauft, Jan Darius

Vallotton, Kevin Omry

Wagner, Franca

Warncke, Jan

Wartenberg, Martin

Weber, Damien Charles

Weber, Stefan

Wicht, Jonatan

Wiest, Roland Gerhard Rudi

Wild, Derk Sven Gard

Wilhelm, Matthias

Williamson, Tom

Wimmer, Wilhelm

Wolf, Sebastian

Wolf-Schnurrbusch, Ute

Wu, Fei Hugo

Wu, Fei Hugo; Marquez Neila, Pablo; Zheng, Mingyi; Rafii-Tari, Hedyeh; Sznitman, Raphael (January 2024). Correlation-aware active learning for surgery video segmentation. In: WACV. IEEE/CVF

Wullschleger, Marcel

Xue, Song

You, Suhang

Yu, Siqing

Zbinden, Lukas

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.

Zenger, Anita

Zinkernagel, Martin Sebastian

Ferro Desideri, Lorenzo; Anguita, Rodrigo; Berger, Lieselotte E; Feenstra, Helena M A; Scandella, Davide; Sznitman, Raphael; Boon, Camiel J F; van Dijk, Elon H C; Zinkernagel, Martin S (2024). BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY. Retina, 44(2), pp. 316-323. Wolters Kluwer 10.1097/IAE.0000000000003965

Züger, Thomas Johannes

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