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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
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.
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
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
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
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
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
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
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
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
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
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
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
Bahrami, Flora; Rossi, René Michel; De Nys, Katelijne; Joerger, Markus; Radenkovic, Milena Cukic; Defraeye, Thijs (2024). Implementing physics-based digital patient twins to tailor the switch of oral morphine to transdermal fentanyl patches based on patient physiology. European journal of pharmaceutical sciences, 195(106727), p. 106727. Elsevier 10.1016/j.ejps.2024.106727
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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.
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
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.
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.
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.
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
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
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
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
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
Hahne, Christopher (2022). Multimodal Exponentially Modified Gaussian Oscillators. In: 2022 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE 10.1109/ius54386.2022.9958253
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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).
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
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
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
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
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
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).
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
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
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
Konyushkova, Ksenia; Sznitman, Raphael; Fua, Pascal (2017). Learning Active Learning from Data (In Press). In: Conference on Neural Information Processing Systems (NIPS).
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
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
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
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
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
Mosinska, A; Sznitman, Raphael; Glowacki, P; Fua, P (2016). Active Learning for Delineation of Curvilinear Structures. In: Computer Vision and Pattern Recognition. CVPR 2016.
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
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
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
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
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
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
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
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
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
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.
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
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
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
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.
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.
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
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
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.
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.
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
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
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
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
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
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.
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
