Raphael Sznitman

According to our database, Raphael Sznitman authored at least 89 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, September, 2024

DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception.

Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., May, 2024

Hyperbolic Random Forests.

Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes

Trans. Mach. Learn. Res., 2024

Targeted Visual Prompting for Medical Visual Question Answering.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

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

Continual Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 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

Correlation-aware active learning for surgery video segmentation.

Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Masked Image Modelling for Retinal OCT Understanding.

Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

StofNet: Super-Resolution Time of Flight Network.

Christopher Hahne, Michel Hayoz, Raphael Sznitman

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2024, 2024

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., July, 2023

A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading.

Tatiana Fountoukidou, Raphael Sznitman

Medical Image Anal., 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, Klaus Schoeffmann, Raphael Sznitman

CoRR, 2023

Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data.

Christopher Hahne, Georges Chabouh, Olivier Couture, Raphael Sznitman

CoRR, 2023

RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy.

Christopher Hahne, Georges Chabouh, Arthur Chavignon, Olivier Couture, Raphael Sznitman

CoRR, 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 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

Localized Questions in Medical Visual Question Answering.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Geometric Ultrasound Localization Microscopy.

Christopher Hahne, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training.

Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns.

Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Logical Implications for Visual Question Answering Consistency.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, 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

Medical Image Anal., 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

Consistency-Preserving Visual Question Answering in Medical Imaging.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos.

Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Data Invariants to Understand Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision.

Laurent Lejeune, Raphael Sznitman

Medical Image Anal., 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, 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

CoRR, 2021

Mask then classify: multi-instance segmentation for surgical instruments.

Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2021

CataNet: Predicting Remaining Cataract Surgery Duration.

Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

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

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, 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

CoRR, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.

Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. 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

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

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

Geometry in active learning for binary and multi-class image segmentation.

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

Comput. Vis. Image Underst., 2019

Force classification during robotic interventions through simulation-trained neural networks.

Andrea Mendizabal, Raphael Sznitman, Stephane Cotin

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

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Image Data Validation for Medical Systems.

Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fused Detection of Retinal Biomarkers in OCT Volumes.

Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Multi-label Classification in Affine Subspaces.

Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Concept-Centric Visual Turing Tests for Method Validation.

Tatiana Fountoukidou, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks.

Xiaofei Du, Thomas Kurmann, Ping-Lin Chang, Maximilian Allan, Sébastien Ourselin, Raphael Sznitman, John D. Kelly, Danail Stoyanov

IEEE Trans. Medical Imaging, 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

Iterative multi-path tracking for video and volume segmentation with sparse point supervision.

Laurent Lejeune, Jan Grossrieder, Raphael Sznitman

Medical Image Anal., 2018

Discovering General-Purpose Active Learning Strategies.

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

CoRR, 2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.

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

CoRR, 2018

Motion-invariant SRT treatment detection from direct M-scan OCT imaging.

Tatiana Fountoukidou, Philippe Raisin, Daniel Kaufmann, Jörn Justiz, Raphael Sznitman, Sebastian Wolf

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

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Efficient OCT Volume Reconstruction From Slitlamp Microscopes.

Stefanos Apostolopoulos, Raphael Sznitman

IEEE Trans. Biomed. Eng., 2017

Learning Active Learning from Real and Synthetic Data.

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

CoRR, 2017

Learning Active Learning from Data.

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation.

Laurent Lejeune, Mario Christoudias, Raphael Sznitman

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery.

Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks.

Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

RetiNet: Automatic AMD identification in OCT volumetric data.

Stefanos Apostolopoulos, Carlos Ciller, Sandro I. De Zanet, Sebastian Wolf, Raphael Sznitman

CoRR, 2016

Automatic assessment of time-resolved OCT images for selective retina therapy.

Sarah Zbinden, Serife Seda Kucur, Patrick Steiner, Sebastian Wolf, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2016

Retinal slit lamp video mosaicking.

Sandro De Zanet, Tobias Rudolph, Rogério Richa, Christoph Tappeiner, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2016

Active Learning for Delineation of Curvilinear Structures.

Agata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Bayesian Multiple Target Localization.

Purnima Rajan, Weidong Han, Raphael Sznitman, Peter I. Frazier, Bruno Jedynak

Proceedings of the 32nd International Conference on Machine Learning, 2015

Introducing Geometry in Active Learning for Image Segmentation.

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery.

Raphael Sznitman, Carlos J. Becker, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

Flash Scanning Electron Microscopy.

Raphael Sznitman, Aurélien Lucchi, Marco Cantoni, Graham Knott, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Active Testing Search for Point Cloud Matching.

Miguel Amável Pinheiro, Raphael Sznitman, Eduard Serradell, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua

Proceedings of the Information Processing in Medical Imaging, 2013

An Optimal Policy for Target Localization with Application to Electron Microscopy.

Raphael Sznitman, Aurélien Lucchi, Peter I. Frazier, Bruno Jedynak, Pascal Fua

Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Object Detection with Entropy-Driven Evaluation.

Raphael Sznitman, Carlos J. Becker, François Fleuret, Pascal Fua

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss.

Bruno Jedynak, Peter I. Frazier, Raphael Sznitman

J. Appl. Probab., 2012

Efficient Scanning for EM Based Target Localization.

Raphael Sznitman, Aurélien Lucchi, Natasa Pjescic-Emedji, Graham Knott, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Data-Driven Visual Tracking in Retinal Microsurgery.

Raphael Sznitman, Karim Ali, Rogério Richa, Russell H. Taylor, Gregory D. Hager, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Visual tracking using the sum of conditional variance.

Rogério Richa, Raphael Sznitman, Russell H. Taylor, Gregory D. Hager

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

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

Proceedings of the Information Processing in Computer-Assisted Interventions, 2011

2010

Active Testing for Face Detection and Localization.

Raphael Sznitman, Bruno Jedynak

IEEE Trans. Pattern Anal. Mach. Intell., 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

Adaptive Multispectral Illumination for Retinal Microsurgery.

Raphael Sznitman, Diego Rother, James Handa, Peter Gehlbach, Gregory D. Hager, Russell H. Taylor

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

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

Proceedings of the Information Processing in Computer-Assisted Interventions, 2010

2009

Active background modeling: Actors on a stage.

Raphael Sznitman, Henry Lin, Manaswi Gupta, Gregory D. Hager

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009