Raphael Sznitman

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 90

Top Venues

CoRR

Int. J. Comput. Assist. Radiol. Surg.

Medical Image Anal.

CVPR

Publications

Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. CoRR (2024)
Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
Masked Image Modelling for retinal OCT understanding. CoRR (2024)
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024)
Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. IEEE Access 12 (2024)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Continual Unsupervised Out-of-Distribution Detection. CoRR (2024)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection. CoRR (2024)
Christopher Hahne, Michel Hayoz, Raphael Sznitman
StofNet: Super-Resolution Time of Flight Network. ICASSP (2024)
Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. Int. J. Comput. Assist. Radiol. Surg. 19 (5) (2024)
Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman
Correlation-aware active learning for surgery video segmentation. WACV (2024)
Negin Ghamsarian, Yosuf El-Shabrawi, Sahar Nasirihaghighi, Doris Putzgruber-Adamitsch, Martin Zinkernagel, Sebastian Wolf, Klaus Schoeffmann, Raphael Sznitman
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection. CoRR (2023)
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
Hyperbolic Random Forests. CoRR (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Logical Implications for Visual Question Answering Consistency. CoRR (2023)
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila
Stochastic Segmentation with Conditional Categorical Diffusion Models. ICCV (2023)
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila
Stochastic Segmentation with Conditional Categorical Diffusion Models. CoRR (2023)
Christopher Hahne, Raphael Sznitman
Geometric Ultrasound Localization Microscopy. MICCAI (10) (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Localized Questions in Medical Visual Question Answering. CoRR (2023)
Michel Hayoz, Christopher Hahne, Mathias Gallardo, Daniel Candinas, Thomas Kurmann, Maximilian Allan, Raphael Sznitman
Learning how to robustly estimate camera pose in endoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 18 (7) (2023)
Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training. CoRR (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Localized Questions in Medical Visual Question Answering. MICCAI (2) (2023)
Tatiana Fountoukidou, Raphael Sznitman
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading. CoRR (2023)
Christopher Hahne, Michel Hayoz, Raphael Sznitman
StofNet: Super-resolution Time of Flight Network. CoRR (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Logical Implications for Visual Question Answering Consistency. CVPR (2023)
Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. CoRR (2023)
Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns. CVPR (2023)
Michel Hayoz, Christopher Hahne, Mathias Gallardo, Daniel Candinas, Thomas Kurmann, Maximilian Allan, Raphael Sznitman
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos. CoRR (2023)
Christopher Hahne, Georges Chabouh, Arthur Chavignon, Olivier Couture, Raphael Sznitman
RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy. CoRR (2023)
Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception. CoRR (2023)
Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman
Correlation-aware active learning for surgery video segmentation. CoRR (2023)
Christopher Hahne, Raphael Sznitman
Geometric Ultrasound Localization Microscopy. CoRR (2023)
Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. MICCAI (1) (2023)
Tatiana Fountoukidou, Raphael Sznitman
A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading. Medical Image Anal. 87 (2023)
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery. CoRR (2023)
Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. CoRR (2023)
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. Int. J. Comput. Assist. Radiol. Surg. 18 (6) (2023)
Christopher Hahne, Georges Chabouh, Olivier Couture, Raphael Sznitman
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data. CoRR (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Consistency-preserving Visual Question Answering in Medical Imaging. CoRR (2022)
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, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76 (2022)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. ECCV (31) (2022)
Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. CoRR (2022)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Consistency-Preserving Visual Question Answering in Medical Imaging. MICCAI (8) (2022)
Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. MICCAI (5) (2022)
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. CoRR (2022)
Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
CataNet: Predicting Remaining Cataract Surgery Duration. MICCAI (4) (2021)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. CoRR (2021)
Laurent Lejeune, Raphael Sznitman
A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision. Medical Image Anal. 73 (2021)
Max Allan, A. Jonathan McLeod, Cong Cong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Thomas Kurmann, Sebastian Schmid, Raphael Sznitman, Dimitris Psychogyios, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge. CoRR (2021)
Laurent Lejeune, Raphael Sznitman
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision. CoRR (2021)
Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
CataNet: Predicting remaining cataract surgery duration. CoRR (2021)
Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman
Mask then classify: multi-instance segmentation for surgical instruments. Int. J. Comput. Assist. Radiol. Surg. 16 (7) (2021)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman
A Question-Centric Model for Visual Question Answering in Medical Imaging. CoRR (2020)
Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman
A Question-Centric Model for Visual Question Answering in Medical Imaging. IEEE Trans. Medical Imaging 39 (9) (2020)
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, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel
Surgical Data Science - from Concepts to Clinical Translation. CoRR (2020)
Andrea Mendizabal, Raphael Sznitman, Stephane Cotin
Force classification during robotic interventions through simulation-trained neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (9) (2019)
Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman
Deep Multi Label Classification in Affine Subspaces. CoRR (2019)
Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman
Deep Multi-label Classification in Affine Subspaces. MICCAI (1) (2019)
Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman
Fused Detection of Retinal Biomarkers in OCT Volumes. MICCAI (1) (2019)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Geometry in active learning for binary and multi-class image segmentation. Comput. Vis. Image Underst. 182 (2019)
Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman
Fused Detection of Retinal Biomarkers in OCT Volumes. CoRR (2019)
Tatiana Fountoukidou, Raphael Sznitman
Concept-Centric Visual Turing Tests for Method Validation. MICCAI (5) (2019)
Serife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman
Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical Image Anal. 54 (2019)
Pablo Márquez-Neila, Raphael Sznitman
Image Data Validation for Medical Systems. MICCAI (4) (2019)
Elvis C. S. Chen, Kanako Harada, Raphael Sznitman
IJCARS - IPCAI 2019 special issue: conference information processing for computer-assisted interventions, 10th international conference 2019 - part 1. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Tatiana Fountoukidou, Raphael Sznitman
Concept-Centric Visual Turing Tests for Method Validation. CoRR (2019)
Minh H. Vu, Raphael Sznitman, Tufve Nyholm, Tommy Löfstedt
Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain. CLEF (Working Notes) (2019)
Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek, Damien C. Weber, Francesco La Rosa, Ann Schalenbourg, Raphael Sznitman, Meritxell Bach Cuadra
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. MIDL (2019)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Discovering General-Purpose Active Learning Strategies. CoRR (2018)
Xiaofei Du, Thomas Kurmann, Ping-Lin Chang, Maximilian Allan, Sébastien Ourselin, Raphael Sznitman, John D. Kelly, Danail Stoyanov
Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks. IEEE Trans. Medical Imaging 37 (5) (2018)
Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis C. García-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat P. Müller-Stich, Sébastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. CoRR (2018)
Tatiana Fountoukidou, Philippe Raisin, Daniel Kaufmann, Jörn Justiz, Raphael Sznitman, Sebastian Wolf
Motion-invariant SRT treatment detection from direct M-scan OCT imaging. Int. J. Comput. Assist. Radiol. Surg. 13 (5) (2018)
Huu-Giao Nguyen, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek, Damien C. Weber, Meritxell Bach Cuadra, Raphael Sznitman
Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs. COMPAY/OMIA@MICCAI (2018)
Przemyslaw Glowacki, Miguel Amável Pinheiro, Agata Mosinska, Engin Türetken, Daniel Lebrecht, Raphael Sznitman, Anthony Holtmaat, Jan Kybic, Pascal Fua
Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 40 (3) (2018)
Laurent Lejeune, Jan Grossrieder, Raphael Sznitman
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. CoRR (2018)
Laurent Lejeune, Jan Grossrieder, Raphael Sznitman
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. Medical Image Anal. 50 (2018)
Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. MICCAI (4) (2018)
Stefanos Apostolopoulos, Raphael Sznitman
Efficient OCT Volume Reconstruction From Slitlamp Microscopes. IEEE Trans. Biomed. Eng. 64 (10) (2017)
Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. MICCAI (2) (2017)
Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman
Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks. MICCAI (3) (2017)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Learning Active Learning from Real and Synthetic Data. CoRR (2017)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Learning Active Learning from Data. NIPS (2017)
Laurent Lejeune, Mario Christoudias, Raphael Sznitman
Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation. CVII-STENT/LABELS@MICCAI (2017)
Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. CoRR (2017)
Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman
Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks. CoRR (2017)
Laurent Lejeune, Mario Christoudias, Raphael Sznitman
Expected exponential loss for gaze-based video and volume ground truth annotation. CoRR (2017)
Sandro De Zanet, Tobias Rudolph, Rogério Richa, Christoph Tappeiner, Raphael Sznitman
Retinal slit lamp video mosaicking. Int. J. Comput. Assist. Radiol. Surg. 11 (6) (2016)
Stefanos Apostolopoulos, Carlos Ciller, Sandro I. De Zanet, Sebastian Wolf, Raphael Sznitman
RetiNet: Automatic AMD identification in OCT volumetric data. CoRR (2016)
Sarah Zbinden, Serife Seda Kucur, Patrick Steiner, Sebastian Wolf, Raphael Sznitman
Automatic assessment of time-resolved OCT images for selective retina therapy. Int. J. Comput. Assist. Radiol. Surg. 11 (6) (2016)
Agata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua
Active Learning for Delineation of Curvilinear Structures. CVPR (2016)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Geometry in Active Learning for Binary and Multi-class Image Segmentation. CoRR (2016)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Introducing Geometry in Active Learning for Image Segmentation. ICCV (2015)
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Introducing Geometry in Active Learning for Image Segmentation. CoRR (2015)
Eduard Serradell, Miguel Amável Pinheiro, Raphael Sznitman, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua
Non-Rigid Graph Registration Using Active Testing Search. IEEE Trans. Pattern Anal. Mach. Intell. 37 (3) (2015)
Purnima Rajan, Weidong Han, Raphael Sznitman, Peter I. Frazier, Bruno Jedynak
Bayesian Multiple Target Localization. ICML (2015)
Agata Mosinska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua
Active Learning for Delineation of Curvilinear Structures. CoRR (2015)
Raphael Sznitman, Carlos J. Becker, Pascal Fua
Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. MICCAI (2) (2014)
Przemyslaw Glowacki, Miguel Amável Pinheiro, Engin Türetken, Raphael Sznitman, Daniel Lebrecht, Jan Kybic, Anthony Holtmaat, Pascal Fua
Reconstructing Evolving Tree Structures in Time Lapse Sequences. CVPR (2014)
Ayala Greenblum, Raphael Sznitman, Pascal Fua, Paulo E. Arratia, Josué Sznitman
Caenorhabditis Elegans Segmentation Using Texture-Based Models for Motility Phenotyping. IEEE Trans. Biomed. Eng. 61 (8) (2014)
Raphael Sznitman, Aurélien Lucchi, Marco Cantoni, Graham Knott, Pascal Fua
Flash Scanning Electron Microscopy. MICCAI (3) (2013)
Miguel Amável Pinheiro, Raphael Sznitman, Eduard Serradell, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua
Active Testing Search for Point Cloud Matching. IPMI (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raphael Sznitman