Active background modeling: Actors on a stage. - Raphael Sznitman; Henry Lin 001; Manaswi Gupta; Gregory D. Hager (ICCV Workshops, 2009)

Active Multispectral Illumination and Image Fusion for Retinal Microsurgery. - Raphael Sznitman; Seth Billings; Diego Rother; Daniel Mirota; Yi Yang; James Handa; Peter Gehlbach; Jin U. Kang; Gregory D. Hager; Russell H. Taylor (IPCAI, 2010)

Adaptive Multispectral Illumination for Retinal Microsurgery. - Raphael Sznitman; Diego Rother; James Handa; Peter Gehlbach; Gregory D. Hager; Russell H. Taylor (MICCAI (3), 2010)

Multi-environment model estimation for motility analysis of Caenorhabditis Elegans - Raphael Sznitman; Manaswi Gupta; Gregory D. Hager; Paulo E. Arratia; Josué Sznitman (CoRR, 2010)

Active Testing for Face Detection and Localization. - Raphael Sznitman; Bruno Jedynak (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Visual Tracking of Surgical Tools for Proximity Detection in Retinal Surgery. - Rogério Richa; Marcin Balicki; Eric M. Meisner; Raphael Sznitman; Russell H. Taylor; Gregory D. Hager (IPCAI, 2011)

Visual tracking using the sum of conditional variance. - Rogério Richa; Raphael Sznitman; Russell H. Taylor; Gregory D. Hager (IROS, 2011)

Unified Detection and Tracking in Retinal Microsurgery. - Raphael Sznitman; Anasuya Basu; Rogério Richa; Jim Handa; Peter Gehlbach; Russell H. Taylor; Bruno Jedynak; Gregory D. Hager (MICCAI (1), 2011)

Data-Driven Visual Tracking in Retinal Microsurgery. - Raphael Sznitman; Karim Ali 002; Rogério Richa; Russell H. Taylor; Gregory D. Hager; Pascal Fua (MICCAI (2), 2012)

Efficient Scanning for EM Based Target Localization. - Raphael Sznitman; Aurélien Lucchi; Natasa Pjescic-Emedji; Graham Knott; Pascal Fua (MICCAI (3), 2012)

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss. - Bruno Jedynak; Peter I. Frazier; Raphael Sznitman (J. Appl. Probab., 2012)

Vision-Based Proximity Detection in Retinal Surgery. - Rogério Richa; Marcin Balicki; Raphael Sznitman; Eric M. Meisner; Russell H. Taylor; Gregory D. Hager (IEEE Trans. Biomed. Eng., 2012)

Fast Object Detection with Entropy-Driven Evaluation. - Raphael Sznitman; Carlos J. Becker; François Fleuret; Pascal Fua (CVPR, 2013)

An Optimal Policy for Target Localization with Application to Electron Microscopy. - Raphael Sznitman; Aurélien Lucchi; Peter I. Frazier; Bruno Jedynak; Pascal Fua (ICML (1), 2013)

Active Testing Search for Point Cloud Matching. - Miguel Amável Pinheiro; Raphael Sznitman; Eduard Serradell; Jan Kybic; Francesc Moreno-Noguer; Pascal Fua (IPMI, 2013)

Flash Scanning Electron Microscopy. - Raphael Sznitman; Aurélien Lucchi; Marco Cantoni; Graham Knott; Pascal Fua (MICCAI (3), 2013)

Unified Detection and Tracking of Instruments during Retinal Microsurgery. - Raphael Sznitman; Rogério Richa; Russell H. Taylor; Bruno Jedynak; Gregory D. Hager (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Reconstructing Evolving Tree Structures in Time Lapse Sequences. - Przemyslaw Glowacki; Miguel Amável Pinheiro; Engin Türetken; Raphael Sznitman; Daniel Lebrecht; Jan Kybic; Anthony Holtmaat; Pascal Fua (CVPR, 2014)

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. - Raphael Sznitman; Carlos J. Becker; Pascal Fua (MICCAI (2), 2014)

Caenorhabditis Elegans Segmentation Using Texture-Based Models for Motility Phenotyping. - Ayala Greenblum; Raphael Sznitman; Pascal Fua; Paulo E. Arratia; Josué Sznitman (IEEE Trans. Biomed. Eng., 2014)

Introducing Geometry in Active Learning for Image Segmentation. - Ksenia Konyushkova; Raphael Sznitman; Pascal Fua (ICCV, 2015)

Bayesian Multiple Target Localization. - Purnima Rajan; Weidong Han 004; Raphael Sznitman; Peter I. Frazier; Bruno Jedynak (ICML, 2015)

Non-Rigid Graph Registration Using Active Testing Search. - Eduard Serradell; Miguel Amável Pinheiro; Raphael Sznitman; Jan Kybic; Francesc Moreno-Noguer; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Active Learning for Delineation of Curvilinear Structures. - Agata Mosinska-Domanska; Raphael Sznitman; Przemyslaw Glowacki; Pascal Fua (CVPR, 2016)

Retinal slit lamp video mosaicking. - Sandro De Zanet; Tobias Rudolph; Rogério Richa; Christoph Tappeiner; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2016)

Automatic assessment of time-resolved OCT images for selective retina therapy. - Sarah Zbinden; Serife Seda Kucur; Patrick Steiner; Sebastian Wolf 005; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2016)

RetiNet: Automatic AMD identification in OCT volumetric data. - Stefanos Apostolopoulos; Carlos Ciller; Sandro I. De Zanet; Sebastian Wolf 005; Raphael Sznitman (CoRR, 2016)

Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks. - Stefanos Apostolopoulos; Sandro De Zanet; Carlos Ciller; Sebastian Wolf 005; Raphael Sznitman (MICCAI (3), 2017)

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. - Thomas Kurmann; Pablo Márquez-Neila; Xiaofei Du 001; Pascal Fua; Danail Stoyanov; Sebastian Wolf 005; Raphael Sznitman (MICCAI (2), 2017)

Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation. - Laurent Lejeune; Mario Christoudias; Raphael Sznitman (CVII-STENT/LABELS@MICCAI, 2017)

Learning Active Learning from Data. - Ksenia Konyushkova; Raphael Sznitman; Pascal Fua (NIPS, 2017)

Learning Active Learning from Real and Synthetic Data. - Ksenia Konyushkova; Raphael Sznitman; Pascal Fua (CoRR, 2017)

Efficient OCT Volume Reconstruction From Slitlamp Microscopes. - Stefanos Apostolopoulos; Raphael Sznitman (IEEE Trans. Biomed. Eng., 2017)

A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. - Andrea Mendizabal; Tatiana Fountoukidou; Jan Hermann; Raphael Sznitman; Stephane Cotin (MICCAI (4), 2018)

Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs. - Huu-Giao Nguyen; Alessia Pica; Philippe Maeder; Ann Schalenbourg; Marta Peroni; Jan Hrbacek; Damien C. Weber; Meritxell Bach Cuadra; Raphael Sznitman (COMPAY/OMIA@MICCAI, 2018)

Motion-invariant SRT treatment detection from direct M-scan OCT imaging. - Tatiana Fountoukidou; Philippe Raisin; Daniel Kaufmann; Jörn Justiz; Raphael Sznitman; Sebastian Wolf 005 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. - Sebastian Bodenstedt; Max Allan; Anthony Agustinos; Xiaofei Du 001; Luis C. García-Peraza-Herrera; Hannes Kenngott; Thomas Kurmann; Beat P. Müller-Stich; Sébastien Ourselin; Daniil Pakhomov; Raphael Sznitman; Marvin Teichmann; et al. (CoRR, 2018)

Discovering General-Purpose Active Learning Strategies. - Ksenia Konyushkova; Raphael Sznitman; Pascal Fua (CoRR, 2018)

Iterative multi-path tracking for video and volume segmentation with sparse point supervision. - Laurent Lejeune; Jan Grossrieder; Raphael Sznitman (Medical Image Anal., 2018)

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. - Przemyslaw Glowacki; Miguel Amável Pinheiro; Agata Mosinska; Engin Türetken; Daniel Lebrecht; Raphael Sznitman; Anthony Holtmaat; Jan Kybic; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks. - Xiaofei Du 001; Thomas Kurmann; Ping-Lin Chang; Maximilian Allan; Sébastien Ourselin; Raphael Sznitman; John D. Kelly; Danail Stoyanov (IEEE Trans. Medical Imaging, 2018)

Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain. - Minh H. Vu; Raphael Sznitman; Tufve Nyholm; Tommy Löfstedt (CLEF (Working Notes), 2019)

Concept-Centric Visual Turing Tests for Method Validation. - Tatiana Fountoukidou; Raphael Sznitman (MICCAI (5), 2019)

Deep Multi-label Classification in Affine Subspaces. - Thomas Kurmann; Pablo Márquez-Neila; Sebastian Wolf 005; Raphael Sznitman (MICCAI (1), 2019)

Fused Detection of Retinal Biomarkers in OCT Volumes. - Thomas Kurmann; Pablo Márquez-Neila; Siqing Yu; Marion Munk; Sebastian Wolf 005; Raphael Sznitman (MICCAI (1), 2019)

Image Data Validation for Medical Systems. - Pablo Márquez-Neila; Raphael Sznitman (MICCAI (4), 2019)

A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. - Huu-Giao Nguyen; Alessia Pica; Jan Hrbacek; Damien C. Weber; Francesco La Rosa; Ann Schalenbourg; Raphael Sznitman; Meritxell Bach Cuadra (MIDL, 2019)

IJCARS - IPCAI 2019 special issue: conference information processing for computer-assisted interventions, 10th international conference 2019 - part 1. - Elvis C. S. Chen; Kanako Harada; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2019)

Force classification during robotic interventions through simulation-trained neural networks. - Andrea Mendizabal; Raphael Sznitman; Stephane Cotin (Int. J. Comput. Assist. Radiol. Surg., 2019)

Geometry in active learning for binary and multi-class image segmentation. - Ksenia Konyushkova; Raphael Sznitman; Pascal Fua (Comput. Vis. Image Underst., 2019)

Patient-attentive sequential strategy for perimetry-based visual field acquisition. - Serife Seda Kucur; Pablo Márquez-Neila; Mathias Abegg; Raphael Sznitman (Medical Image Anal., 2019)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Surgical Data Science - from Concepts to Clinical Translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (CoRR, 2020)

A Question-Centric Model for Visual Question Answering in Medical Imaging. - Minh H. Vu; Tommy Löfstedt; Tufve Nyholm; Raphael Sznitman (IEEE Trans. Medical Imaging, 2020)

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

CataNet: Predicting Remaining Cataract Surgery Duration. - Andrés Marafioti; Michel Hayoz; Mathias Gallardo; Pablo Márquez-Neila; Sebastian Wolf 005; Martin Zinkernagel; Raphael Sznitman (MICCAI (4), 2021)

Mask then classify: multi-instance segmentation for surgical instruments. - Thomas Kurmann; Pablo Márquez-Neila; Max Allan; Sebastian Wolf 005; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2021)

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge. - Max Allan; A. Jonathan McLeod; Congcong Wang; Jean-Claude Rosenthal; Zhenglei Hu; Niklas Gard; Peter Eisert; Ke Xue Fu; Trevor Zeffiro; Wenyao Xia; Zhanshi Zhu; Huoling Luo; et al. (CoRR, 2021)

A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision. - Laurent Lejeune; Raphael Sznitman (Medical Image Anal., 2021)

Data Invariants to Understand Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (ECCV (31), 2022)

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Negin Ghamsarian; Mario Taschwer; Raphael Sznitman; Klaus Schoeffmann (MICCAI (5), 2022)

Consistency-Preserving Visual Question Answering in Medical Imaging. - Sergio Tascon-Morales; Pablo Márquez-Neila; Raphael Sznitman (MICCAI (8), 2022)

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. - Lars Doorenbos; Olena Torbaniuk; Stefano Cavuoti; Maurizio Paolillo; Giuseppe Longo; Massimo Brescia; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2022)

Surgical data science - from concepts toward clinical translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (Medical Image Anal., 2022)

Logical Implications for Visual Question Answering Consistency. - Sergio Tascon-Morales; Pablo Márquez-Neila; Raphael Sznitman (CVPR, 2023)

Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns. - Javier Gamazo Tejero; Martin S. Zinkernagel; Sebastian Wolf 005; Raphael Sznitman; Pablo Márquez-Neila (CVPR, 2023)

Stochastic Segmentation with Conditional Categorical Diffusion Models. - Lukas Zbinden; Lars Doorenbos; Theodoros Pissas; Adrian Thomas Huber; Raphael Sznitman; Pablo Márquez-Neila (ICCV, 2023)

Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. - Negin Ghamsarian; Javier Gamazo Tejero; Pablo Márquez-Neila; Sebastian Wolf 005; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman (MICCAI (1), 2023)

Geometric Ultrasound Localization Microscopy. - Christopher Hahne; Raphael Sznitman (MICCAI (10), 2023)

Localized Questions in Medical Visual Question Answering. - Sergio Tascon-Morales; Pablo Márquez-Neila; Raphael Sznitman (MICCAI (2), 2023)

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. - Alain Jungo; Lars Doorenbos; Tommaso Da Col; Maarten Beelen; Martin Zinkernagel; Pablo Márquez-Neila; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2023)

Stochastic Segmentation with Conditional Categorical Diffusion Models. - Lukas Zbinden; Lars Doorenbos; Theodoros Pissas; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2023)

RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy. - Christopher Hahne; Georges Chabouh; Arthur Chavignon; Olivier Couture; Raphael Sznitman (CoRR, 2023)

Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data. - Christopher Hahne; Georges Chabouh; Olivier Couture; Raphael Sznitman (CoRR, 2023)

Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection. - Negin Ghamsarian; Yosuf El-Shabrawi; Sahar Nasirihaghighi; Doris Putzgruber-Adamitsch; Martin Zinkernagel; Sebastian Wolf 005; Klaus Schoeffmann; Raphael Sznitman (CoRR, 2023)

A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading. - Tatiana Fountoukidou; Raphael Sznitman (Medical Image Anal., 2023)

Learning how to robustly estimate camera pose in endoscopic videos. - Michel Hayoz; Christopher Hahne; Mathias Gallardo; Daniel Candinas; Thomas Kurmann; Maximilian Allan; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2023)

Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (ECCV (52), 2024)

StofNet: Super-Resolution Time of Flight Network. - Christopher Hahne; Michel Hayoz; Raphael Sznitman (ICASSP, 2024)

Online 3D Reconstruction and Dense Tracking in Endoscopic Videos. - Michel Hayoz; Christopher Hahne; Thomas Kurmann; Max Allan; Guido Beldi; Daniel Candinas; Pablo Márquez-Neila; Raphael Sznitman (MICCAI (6), 2024)

Masked Image Modelling for Retinal OCT Understanding. - Theodoros Pissas; Pablo Márquez-Neila; Sebastian Wolf 005; Martin Zinkernagel; Raphael Sznitman (OMIA@MICCAI, 2024)

Targeted Visual Prompting for Medical Visual Question Answering. - Sergio Tascon-Morales; Pablo Márquez-Neila; Raphael Sznitman (AMAI@MICCAI, 2024)

Correlation-aware active learning for surgery video segmentation. - Fei Wu; Pablo Márquez-Neila; Mingyi Zheng; Hedyeh Rafii-Tari; Raphael Sznitman (WACV, 2024)

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. - Negin Ghamsarian; Doris Putzgruber-Adamitsch; Stephanie Sarny; Raphael Sznitman; Klaus Schoeffmann; Yosuf El-Shabrawi (IEEE Access, 2024)

Continual Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. - Lars Doorenbos; Eva Sextl; Kevin Heng; Stefano Cavuoti; Massimo Brescia; Olena Torbaniuk; Giuseppe Longo; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Non-Linear Outlier Synthesis for Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Hyperbolic Random Forests. - Lars Doorenbos; Pablo Márquez-Neila; Raphael Sznitman; Pascal Mettes (Trans. Mach. Learn. Res., 2024)

DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. - Negin Ghamsarian; Sebastian Wolf 005; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2024)

RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts. - Christopher Hahne; Georges Chabouh; Arthur Chavignon; Olivier Couture; Raphael Sznitman (IEEE Trans. Medical Imaging, 2024)

Dual Invariance Self-Training for Reliable Semi-Supervised Surgical Phase Recognition. - Sahar Nasirihaghighi; Negin Ghamsarian; Raphael Sznitman; Klaus Schoeffmann (ISBI, 2025)

SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation. - Javier Gamazo Tejero; Moritz Schmid; Pablo Márquez-Neila; Martin S. Zinkernagel; Sebastian Wolf 005; Raphael Sznitman (WACV, 2025)

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation. - Fei Wu; Pablo Márquez-Neila; Hedyeh Rafii-Tari; Raphael Sznitman (WACV, 2025)

Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation. - Negin Ghamsarian; Sahar Nasirihaghighi; Klaus Schoeffmann; Raphael Sznitman (CoRR, 2025)

WetCat: Automating Skill Assessment in Wetlab Cataract Surgery Videos. - Negin Ghamsarian; Raphael Sznitman; Klaus Schoeffmann; Jens Kowal (CoRR, 2025)

GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset. - Sahar Nasirihaghighi; Negin Ghamsarian; Leonie Peschek; Matteo Munari; Heinrich Husslein; Raphael Sznitman; Klaus Schoeffmann (CoRR, 2025)