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Number of items at this level: 151.

2024

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. (In Press). European journal of pharmaceutical sciences, 195(106727), p. 106727. Elsevier 10.1016/j.ejps.2024.106727

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

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. (In Press). Medical image analysis, 93(103075), p. 103075. Elsevier 10.1016/j.media.2023.103075

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

2023

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, Angel 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 The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 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

Sánchez-García, Alicia; Molina-Martín, Ainhoa; Ariza-Gracia, Miguel Ángel; Piñero, David P (2023). Modeling and Prediction of the Immediate and Short-Term Effect of Myopic Orthokeratology. Eye & contact lens, 49(2), pp. 77-82. Wolters Kluwer 10.1097/ICL.0000000000000962

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

2022

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

2021

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

2020

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

2019

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

2018

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

2017

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).

2016

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.

2015

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

2014

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

2013

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

2012

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

2011

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

2010

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

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