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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.
Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (July 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for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished).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: ECR 2022.
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volume ratio (LSVR) quantification on non-contrast T1 vibe Dixon liver MRI using an artificial neural network (Unpublished).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for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished).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volume ratio (LSVR) quantification on non-contrast T1 vibe Dixon liver MRI using an artificial neural network (Unpublished).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.
Fountoukidou, Tatiana; Apostolopoulos, Stefanos; Wolf, Sebastian; Sznitman, Raphael (2017). Automatic assessment of time-lapse OCT for dosimetry control of selective retina therapy (Unpublished). In: ARVO.
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
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.
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
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
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
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
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
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
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
Zbinden, Lukas; Catucci, Damiano Livio Aldo; Hulbert, LA; Brönnimann, Michael; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas; Huber, Adrian Thomas (June 2023). Automated T1 Mapping Quantification Of The Liver With Deep-learning Based 3D T1 Vibe Dixon Liver Parenchyma Segmentation And AffineTransformation With Voxel-wise Co-registration. In: European Society of Gastrointestinal and Abdominal Radiology (ESGAR), 2023. Valencia. June 2023.
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.
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
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
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
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
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
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
Doorenbos, Lars; Cavuoti, Stefano; Longo, Giuseppe; Brescia, Massimo; Sznitman, Raphael; Márquez-Neila, Pablo (3 December 2022). Generating astronomical spectra from photometry with conditional diffusion models (In Press). In: Machine Learning and the Physical Sciences.
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
Guo, Rui; Xue, Song; Hu, Jiaxi; Sari, Hasan; Mingels, Clemens; Zeimpekis, Konstantinos; Prenosil, George; Wang, Yue; Zhang, Yu; Viscione, Marco; Sznitman, Raphael; Rominger, Axel; Li, Biao; Shi, Kuangyu (2022). Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction. Nature Communications, 13(1), p. 5882. Springer Nature 10.1038/s41467-022-33562-9
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
Doorenbos, Lars Jelte; Sznitman, Raphael; Márquez Neila, Pablo (6 May 2022). Learning non-linear invariants for unsupervised out-of-distribution detection (Unpublished). In: Bern Data Science Day 2022. University of Bern. 06 May 2022.
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.
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
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
Hu, Suyi; Hall, Deborah A.; Zubler, Frédéric; Sznitman, Raphael; Anschütz, Lukas; Caversaccio, Marco; Wimmer, Wilhelm (2021). Bayesian brain in tinnitus: Computational modeling of three perceptual phenomena using a modified Hierarchical Gaussian Filter. Hearing research, 410(108338), p. 108338. Elsevier 10.1016/j.heares.2021.108338
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
Jacques, Marc-Antoine; Dobrzyński, Maciej; Gagliardi, Paolo Armando; Sznitman, Raphael; Pertz, Olivier (2021). CODEX, a neural network approach to explore signaling dynamics landscapes. Molecular systems biology, 17(4), e10026. EMBO Press 10.15252/msb.202010026
Sandu, Raluca M.; Paolucci, Iwan; Ruiter, Simeon J.; Sznitman, Raphael; de Jong, Koert; Freedman, Jacob; Weber, Stefan; Tinguely, Pascale (2021). Volumetric Quantitative Ablation Margins for Assessment of Ablation Completeness in Thermal Ablation of Liver Tumours. Frontiers in oncology, 11 Frontiers Research Foundation 10.3389/fonc.2021.623098
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
Apostolopoulos, Stefanos; Salas, Jazmín; Ordóñez, José L P; Tan, Shern Shiou; Ciller, Carlos; Ebneter, Andreas; Zinkernagel, Martin; Sznitman, Raphael; Wolf, Sebastian; De Zanet, Sandro; Munk, Marion R. (2020). Automatically Enhanced OCT Scans of the Retina: A proof of concept study. Scientific Reports, 10(1), p. 7819. Nature Publishing Group 10.1038/s41598-020-64724-8
Fisher, Chloe; Hoeijmakers, H. Jens; Kitzmann, Daniel; Márquez-Neila, Pablo; Grimm, Simon L.; Sznitman, Raphael; Heng, Kevin (3 March 2020). Interpreting High-Resolution Spectroscopy of Exoplanets Using Cross-Correlations and Supervised Machine Learning (arXiv). Cornell University
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
Oreshenko, Maria; Kitzmann, Daniel; Márquez-Neila, Pablo; Malik, Matej; Bowler, Brendan P.; Burgasser, Adam J.; Sznitman, Raphael; Fisher, Chloe E.; Heng, Kevin (2020). Supervised Machine Learning for Intercomparison of Model Grids of Brown Dwarfs: Application to GJ 570D and the Epsilon Indi B Binary System. The astronomical journal, 159(1), p. 6. American Astronomical Society 10.3847/1538-3881/ab5955
Fountoukidou, Tatiana; Sznitman, Raphael (10 October 2019). Concept-Centric Visual Turing Tests for Method Validation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Lecture Notes in Computer Science: Vol. 11768 (pp. 254-262). Springer, Cham 10.1007/978-3-030-32254-0_29
Kurmann, Thomas; Yu, Siqing; Márquez-Neila, Pablo; Ebneter, Andreas; Zinkernagel, Martin; Munk, Marion R.; Wolf, Sebastian; Sznitman, Raphael (2019). Expert-level Automated Biomarker Identification in Optical Coherence Tomography Scans. Scientific reports, 9(1), p. 13605. Springer Nature 10.1038/s41598-019-49740-7
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
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
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
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
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
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).
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
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
Mosinska, A; Sznitman, Raphael; Glowacki, P; Fua, P (2016). Active Learning for Delineation of Curvilinear Structures. In: Computer Vision and Pattern Recognition. CVPR 2016.
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
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; 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
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
