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2020 – today
- 2026
[j56]Guankun Wang
, Long Bai, Junyi Wang, Kun Yuan, Zhen Li, Tianxu Jiang, Xiting He, Jinlin Wu, Zhen Chen, Zhen Lei, Hongbin Liu, Jiazheng Wang, Fan Zhang, Nicolas Padoy, Nassir Navab, Hongliang Ren:
EndoChat: Grounded multimodal large language model for endoscopic surgery. Medical Image Anal. 107: 103789 (2026)- 2025
- [j55]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven adaptation of foundation models for few-shot surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 20(6): 1175-1183 (2025) - [j54]Saurav Sharma, Maria Vannucci, Leonardo Pestana Legori, Mario Scaglia, Giovanni Guglielmo Laracca, Didier Mutter, Sergio Alfieri, Pietro Mascagni, Nicolas Padoy:
Early operative difficulty assessment in laparoscopic cholecystectomy via snapshot-centric video analysis. Int. J. Comput. Assist. Radiol. Surg. 20(6): 1185-1193 (2025) - [j53]Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A first step toward automatically identifying team communication in the operating room. Int. J. Comput. Assist. Radiol. Surg. 20(7): 1371-1379 (2025) - [j52]Camille Graëff, Nicolas Padoy, Philippe Liverneaux, Thomas Andrew Lampert:
Introducing surgical workflow recognition in orthopaedic surgery with timestamp supervision. Comput. Biol. Medicine 197: 110995 (2025) - [j51]Chinedu Innocent Nwoye, Nicolas Padoy:
SurgiTrack: Fine-grained multi-class multi-tool tracking in surgical videos. Medical Image Anal. 101: 103438 (2025) - [j50]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools. Medical Image Anal. 101: 103471 (2025) - [j49]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning multi-modal representations by watching hundreds of surgical video lectures. Medical Image Anal. 105: 103644 (2025) - [j48]Shifang Zhao, Long Bai, Kun Yuan, Feng Li, Jieming Yu, Wenzhen Dong, Guankun Wang, Mobarakol Islam, Nicolas Padoy, Nassir Navab, Hongliang Ren:
Rethinking data imbalance in class incremental surgical instrument segmentation. Medical Image Anal. 105: 103728 (2025) - [j47]Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary, Lorenzo Arboit, Giorgio Carlino, Joël L. Lavanchy, Pietro Mascagni, Nicolas Padoy:
Surgical text-to-image generation. Pattern Recognit. Lett. 190: 73-80 (2025) - [c57]Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz:
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. AAAI 2025: 6842-6850 - [c56]Chinedu Innocent Nwoye, Kareem Elgohary, Anvita Srinivas, Fauzan Zaid, Joël L. Lavanchy, Nicolas Padoy:
CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools. CVPR 2025: 8942-8952 - [c55]Keqi Chen, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes. CVPR 2025: 24419-24428 - [c54]Sidaty El Hadramy, Nicolas Padoy, Stéphane Cotin:
Deform any Liver in Real-Time. ISBI 2025: 1-5 - [c53]Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy:
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. MICCAI (11) 2025: 24-33 - [c52]Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy:
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. MICCAI (11) 2025: 178-188 - [c51]Farahdiba Zarin, Nicolas Padoy, Jérémy Dana, Vinkle Srivastav:
End-to-End Learning of Multi-organ Implicit Surfaces from 3D Medical Imaging Data. ShapeMI@MICCAI 2025: 193-203 - [c50]Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy:
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. MICCAI (11) 2025: 358-368 - [c49]Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
Multi-modal Representations for Fine-Grained Multi-Label Critical View of Safety Recognition. MICCAI (11) 2025: 423-432 - [c48]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. MICCAI (9) 2025: 467-477 - [c47]Yiming Huang, Long Bai, Beilei Cui, Kun Yuan, Guankun Wang, Mobarak I. Hoque, Nicolas Padoy, Nassir Navab, Hongliang Ren:
SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting. MICCAI (9) 2025: 584-594 - [i97]Aditya Bhat, Rupak Bose, Chinedu Innocent Nwoye, Nicolas Padoy:
SimGen: A Diffusion-Based Framework for Simultaneous Surgical Image and Segmentation Mask Generation. CoRR abs/2501.09008 (2025) - [i96]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis. CoRR abs/2501.09555 (2025) - [i95]Guankun Wang, Long Bai, Junyi Wang, Kun Yuan, Zhen Li, Tianxu Jiang, Xiting He, Jinlin Wu, Zhen Chen, Zhen Lei, Hongbin Liu, Jiazheng Wang, Fan Zhang, Nicolas Padoy, Nassir Navab, Hongliang Ren:
EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery. CoRR abs/2501.11347 (2025) - [i94]Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz:
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. CoRR abs/2502.02438 (2025) - [i93]Saurav Sharma, Maria Vannucci, Leonardo Pestana Legori, Mario Scaglia, Giovanni Guglielmo Laracca, Didier Mutter, Sergio Alfieri, Pietro Mascagni, Nicolas Padoy:
Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis. CoRR abs/2502.07008 (2025) - [i92]Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room. CoRR abs/2502.08299 (2025) - [i91]Idris Hamoud, Vinkle Srivastav, Muhammad Abdullah Jamal, Didier Mutter, Omid Mohareri, Nicolas Padoy:
Multi-view Video-Pose Pretraining for Operating Room Surgical Activity Recognition. CoRR abs/2502.13883 (2025) - [i90]Adrien Meyer, Lorenzo Arboit, Giuseppe Massimiani, Francesco Brucchi, Luca Emanuele Amodio, Didier Mutter, Nicolas Padoy:
S4M: Segment Anything with 4 Extreme Points. CoRR abs/2503.05534 (2025) - [i89]Keqi Chen, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes. CoRR abs/2503.13739 (2025) - [i88]Rupak Bose, Chinedu Innocent Nwoye, Aditya Bhat, Nicolas Padoy:
CoSimGen: Controllable Diffusion Model for Simultaneous Image and Mask Generation. CoRR abs/2503.19661 (2025) - [i87]Saurav Sharma, Didier Mutter, Nicolas Padoy:
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models. CoRR abs/2503.19670 (2025) - [i86]Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy:
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. CoRR abs/2504.16749 (2025) - [i85]Vinkle Srivastav, Juliette Puel, Jonathan Vappou, Elijah Van Houten, Paolo Cabras, Nicolas Padoy:
A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation. CoRR abs/2505.12998 (2025) - [i84]Lorenzo Arboit, Dennis N. Schneider, Toby Collins, Daniel A. Hashimoto, Silvana Perretta, Bernard Dallemagne, Jacques Marescaux, EAES Working Group, Nicolas Padoy, Pietro Mascagni:
Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era. CoRR abs/2506.08258 (2025) - [i83]Guankun Wang, Wenjin Mo, Junyi Wang, Long Bai, Kun Yuan, Ming Hu, Jinlin Wu, Junjun He, Yiming Huang, Nicolas Padoy, Zhen Lei, Hongbin Liu, Nassir Navab, Hongliang Ren:
SurgVidLM: Towards Multi-grained Surgical Video Understanding with Large Language Model. CoRR abs/2506.17873 (2025) - [i82]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. CoRR abs/2506.20254 (2025) - [i81]Yiming Huang, Long Bai, Beilei Cui, Kun Yuan, Guankun Wang, Mobarak I. Hoque, Nicolas Padoy, Nassir Navab, Hongliang Ren:
SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting. CoRR abs/2506.23309 (2025) - [i80]Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition. CoRR abs/2507.05007 (2025) - [i79]Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy:
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. CoRR abs/2507.05020 (2025) - [i78]Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy:
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. CoRR abs/2507.06643 (2025) - [i77]Farahdiba Zarin, Nicolas Padoy, Jérémy Dana, Vinkle Srivastav:
End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data. CoRR abs/2509.12068 (2025) - [i76]Deepak Alapatt, Jennifer A. Eckhoff, Zhiliang Lyu, Yutong Ban, Jean-Paul Mazellier, Sarah Choksi, Kunyi Yang, 2024 CVS Challenge Consortium, Quanzheng Li, Filippo Filicori, Xiang Li, Pietro Mascagni, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Nicolas Padoy:
The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment. CoRR abs/2509.17100 (2025) - 2024
- [j46]Adrien Meyer, Jean-Paul Mazellier, Jérémy Dana, Nicolas Padoy:
On-the-fly point annotation for fast medical video labeling. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1093-1101 (2024) - [j45]Siddhant Satyanaik, Aditya Murali, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy:
Optimizing latent graph representations of surgical scenes for unseen domain generalization. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1243-1250 (2024) - [j44]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing surgical VQA with scene graph knowledge. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1409-1417 (2024) - [j43]Joël L. Lavanchy, Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Paolo Fiorini, Beat P. Müller-Stich, Philipp C. Nett, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2249-2257 (2024) - [j42]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Latent Graph Representations for Critical View of Safety Assessment. IEEE Trans. Medical Imaging 43(3): 1247-1258 (2024) - [c46]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CVPR 2024: 2502-2512 - [c45]Sidaty El Hadramy, Juan Verde, Nicolas Padoy, Stéphane Cotin:
Towards Real-Time Vessel Guided Augmented Reality for Liver Surgery. ISBI 2024: 1-5 - [c44]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. ISBI 2024: 1-5 - [c43]Diwei Wang, Kun Yuan, Candice Müller, Frédéric Blanc, Nicolas Padoy, Hyewon Seo:
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. MICCAI (5) 2024: 251-261 - [c42]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition. MICCAI (6) 2024: 306-316 - [c41]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. MICCAI (6) 2024: 328-338 - [c40]Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde:
Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. MICCAI (6) 2024: 649-659 - [c39]Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy:
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation. MIDL 2024: 33-47 - [c38]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. NeurIPS 2024 - [i75]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation. CoRR abs/2402.14611 (2024) - [i74]Siddhant Satyanaik, Aditya Murali, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy:
Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer. CoRR abs/2403.06953 (2024) - [i73]Diwei Wang, Kun Yuan, Candice Müller, Frédéric Blanc, Nicolas Padoy, Hyewon Seo:
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. CoRR abs/2403.13756 (2024) - [i72]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CoRR abs/2404.02041 (2024) - [i71]Adrien Meyer, Jean-Paul Mazellier, Jérémy Dana, Nicolas Padoy:
On-the-Fly Point Annotation for Fast Medical Video Labeling. CoRR abs/2404.14344 (2024) - [i70]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition. CoRR abs/2405.10075 (2024) - [i69]Chinedu Innocent Nwoye, Nicolas Padoy:
SurgiTrack: Fine-Grained Multi-Class Multi-Tool Tracking in Surgical Videos. CoRR abs/2405.20333 (2024) - [i68]Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy:
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness. CoRR abs/2407.05448 (2024) - [i67]Aditya Murali, Pietro Mascagni, Didier Mutter, Nicolas Padoy:
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM. CoRR abs/2407.06795 (2024) - [i66]Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary, Lorenzo Arboit, Giorgio Carlino, Joël L. Lavanchy, Pietro Mascagni, Nicolas Padoy:
Surgical Text-to-Image Generation. CoRR abs/2407.09230 (2024) - [i65]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. CoRR abs/2410.00263 (2024) - [i64]Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy:
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration. CoRR abs/2410.02443 (2024) - [i63]Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde:
Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. CoRR abs/2410.03420 (2024) - [i62]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. CoRR abs/2411.15421 (2024) - [i61]Adrien Meyer, Aditya Murali, Didier Mutter, Nicolas Padoy:
UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets. CoRR abs/2411.16222 (2024) - 2023
- [j41]Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy:
Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition. Int. J. Comput. Assist. Radiol. Surg. 18(6): 1053-1059 (2023) - [j40]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos. Int. J. Comput. Assist. Radiol. Surg. 18(9): 1665-1672 (2023) - [j39]Jean-Paul Mazellier, Cindy Rolland, Emilie Wernert, Julieta Montanelli, Alexandre Hostettler, Lee Swanstrom, Benoit Gallix, Leonardo Sosa Valencia, Toby Collins, Nicolas Padoy:
Electromagnetic tracking of endoscopic ultrasound probe for pancreas examination: accuracy assessment under realistic medical conditions. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 997-1004 (2023) - [j38]Alexandre Krebs, Jean-Paul Mazellier, Cindy Rolland, Adrien Meyer, Julien Bert, Juan Verde, Nicolas Padoy:
Multi-objective optimization for X-ray exposure reduction during image-guided needle-based procedure. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1057-1063 (2023) - [j37]Antoine Fleurentin, Jean-Paul Mazellier, Adrien Meyer, Julieta Montanelli, Lee Swanstrom, Benoit Gallix, Leonardo Sosa Valencia, Nicolas Padoy:
Automatic pancreas anatomical part detection in endoscopic ultrasound videos. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1136-1142 (2023) - [j36]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. 83: 102695 (2023) - [j35]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation. Medical Image Anal. 85: 102751 (2023) - [j34]Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j33]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j32]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88: 102844 (2023) - [j31]Tong Yu, Pietro Mascagni, Juan Verde, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Live laparoscopic video retrieval with compressed uncertainty. Medical Image Anal. 88: 102866 (2023) - [j30]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89: 102888 (2023) - [j29]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j28]Hasan Kassem, Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. IEEE Trans. Medical Imaging 42(7): 1920-1931 (2023) - [j27]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition. IEEE Trans. Medical Imaging 42(9): 2592-2602 (2023) - [c37]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c36]Sidaty El Hadramy, Juan Verde, Nicolas Padoy, Stéphane Cotin:
Intraoperative CT Augmentation for Needle-Based Liver Interventions. MICCAI (9) 2023: 291-301 - [c35]Sidaty El Hadramy, Juan Verde, Karl-Philippe Beaudet, Nicolas Padoy, Stéphane Cotin:
Trackerless Volume Reconstruction from Intraoperative Ultrasound Images. MICCAI (10) 2023: 303-312 - [c34]Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy:
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions. MICCAI (9) 2023: 505-514 - [c33]Amine Yamlahi, Thuy Nuong Tran, Patrick Godau, Melanie Schellenberg, Dominik Michael, Finn-Henri Smidt, Jan-Hinrich Nölke, Tim J. Adler, Minu Dietlinde Tizabi, Chinedu Innocent Nwoye, Nicolas Padoy, Lena Maier-Hein:
Self-distillation for Surgical Action Recognition. MICCAI (9) 2023: 637-646 - [c32]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. MICCAI (9) 2023: 647-657 - [c31]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. MIDL 2023: 1254-1268 - [i60]Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, AI4SafeChole Consortium, Didier Mutter, Nicolas Padoy:
Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. CoRR abs/2301.07053 (2023) - [i59]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR abs/2302.06294 (2023) - [i58]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition. CoRR abs/2302.10834 (2023) - [i57]Amine Yamlahi, Thuy Nuong Tran, Patrick Godau, Melanie Schellenberg, Dominik Michael, Finn-Henri Smidt, Jan-Hinrich Nölke, Tim Adler, Minu Dietlinde Tizabi, Chinedu Innocent Nwoye, Nicolas Padoy, Lena Maier-Hein:
Self-distillation for surgical action recognition. CoRR abs/2303.12915 (2023) - [i56]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i55]Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR abs/2305.07152 (2023) - [i54]Jean-Paul Mazellier, Méline Bour-Lang, Sabrina Bourouis, Johan Moreau, Aimable Muzuri, Olivier Schweitzer, Aslan Vatsaev, Julien Waechter, Emilie Wernert, Frederic Woelffel, Alexandre Hostettler, Nicolas Padoy, Flavien Bridault:
INDEXITY: a web-based collaborative tool for medical video annotation. CoRR abs/2306.14780 (2023) - [i53]Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy:
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions. CoRR abs/2307.09548 (2023) - [i52]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR abs/2307.15220 (2023) - [i51]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools. CoRR abs/2309.01723 (2023) - [i50]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. CoRR abs/2312.05968 (2023) - [i49]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. CoRR abs/2312.06829 (2023) - [i48]Chinedu Innocent Nwoye, Kareem Elgohary, Anvita Srinivas, Fauzan Zaid, Joël L. Lavanchy, Nicolas Padoy:
CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery. CoRR abs/2312.07352 (2023) - [i47]Jean-Paul Mazellier, Antoine Boujon, Méline Bour-Lang, Maël Erharhd, Julien Waechter, Emilie Wernert, Pietro Mascagni, Nicolas Padoy:
MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation. CoRR abs/2312.08593 (2023) - [i46]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing Surgical VQA with Scene Graph Knowledge. CoRR abs/2312.10251 (2023) - [i45]Joël L. Lavanchy, Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Paolo Fiorini, Beat P. Müller-Stich, Philipp C. Nett, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery. CoRR abs/2312.11250 (2023) - [i44]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. CoRR abs/2312.12250 (2023) - [i43]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy:
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark. CoRR abs/2312.12429 (2023) - 2022
- [j26]Florian Aspart, Jon Lindström Bolmgren, Joël L. Lavanchy, Guido Beldi, Michael S. Woods, Nicolas Padoy, Enes Hosgor:
ClipAssistNet: bringing real-time safety feedback to operating rooms. Int. J. Comput. Assist. Radiol. Surg. 17(1): 5-13 (2022) - [j25]Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy:
Self-supervised learning via cluster distance prediction for operating room context awareness. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1469-1476 (2022) - [j24]Alexandre Krebs, Jean-Paul Mazellier, Juan Verde, Cindy Rolland, Julien Bert, Nicolas Padoy:
Organ-based estimation and minimization of clinician's X-ray dose. Int. J. Comput. Assist. Radiol. Surg. 17(12): 2357-2364 (2022) - [j23]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: 102306 (2022) - [j22]Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos. Medical Image Anal. 78: 102433 (2022) - [j21]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. Medical Image Anal. 80: 102525 (2022) - [j20]Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay A. Redan, Sergio Alfieri, Guido Costamagna, Ivo Boskoski, Nicolas Padoy, Daniel A. Hashimoto:
Computer vision in surgery: from potential to clinical value. npj Digit. Medicine 5 (2022) - [c30]Adrien Meyer, Antoine Fleurentin, Julieta Montanelli, Jean-Paul Mazellier, Lee Swanstrom, Benoit Gallix, Georgios Exarchakis, Leonardo Sosa Valencia, Nicolas Padoy:
Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures. ASMUS@MICCAI 2022: 13-22 - [i42]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation. CoRR abs/2202.08141 (2022) - [i41]Tong Yu, Pietro Mascagni, Juan Verde, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Live Laparoscopic Video Retrieval with Compressed Uncertainty. CoRR abs/2203.04301 (2022) - [i40]Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. CoRR abs/2203.07345 (2022) - [i39]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - [i38]Chinedu Innocent Nwoye, Nicolas Padoy:
Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets. CoRR abs/2204.05235 (2022) - [i37]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR abs/2207.00449 (2022) - [i36]Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy:
Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition. CoRR abs/2211.16963 (2022) - [i35]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Latent Graph Representations for Critical View of Safety Assessment. CoRR abs/2212.04155 (2022) - [i34]Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola, Armine Vardazaryan, Jean-Paul Mazellier, Bernard Dallemagne, Didier Mutter, Nicolas Padoy:
Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation. CoRR abs/2212.06809 (2022) - 2021
- [j19]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1111-1119 (2021) - [j18]Abdolrahim Kadkhodamohammadi, Nicolas Padoy:
A generalizable approach for multi-view 3D human pose regression. Mach. Vis. Appl. 32(1): 6 (2021) - [j17]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images. IEEE Robotics Autom. Lett. 6(2): 2938-2945 (2021) - [c29]Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris:
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. BrainLes@MICCAI (1) 2021: 3-24 - [e8]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12901, Springer 2021, ISBN 978-3-030-87192-5 [contents] - [e7]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12902, Springer 2021, ISBN 978-3-030-87195-6 [contents] - [e6]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12903, Springer 2021, ISBN 978-3-030-87198-7 [contents] - [e5]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12904, Springer 2021, ISBN 978-3-030-87201-4 [contents] - [e4]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12905, Springer 2021, ISBN 978-3-030-87239-7 [contents] - [e3]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12906, Springer 2021, ISBN 978-3-030-87230-4 [contents] - [e2]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII. Lecture Notes in Computer Science 12907, Springer 2021, ISBN 978-3-030-87233-5 [contents] - [e1]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12908, Springer 2021, ISBN 978-3-030-87236-6 [contents] - [i33]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. CoRR abs/2102.12218 (2021) - [i32]Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images. CoRR abs/2103.00586 (2021) - [i31]Pietro Mascagni, Deepak Alapatt, Alain Garcia, Nariaki Okamoto, Armine Vardazaryan, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy:
Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety. CoRR abs/2106.10916 (2021) - [i30]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. CoRR abs/2108.11801 (2021) - [i29]Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos. CoRR abs/2109.03223 (2021) - [i28]Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR abs/2109.14956 (2021) - [i27]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - [i26]Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov:
2020 CATARACTS Semantic Segmentation Challenge. CoRR abs/2110.10965 (2021) - [i25]Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy:
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation. CoRR abs/2112.13815 (2021) - 2020
- [j16]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. Proc. IEEE 108(1): 198-214 (2020) - [j15]Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Future-State Predicting LSTM for Early Surgery Type Recognition. IEEE Trans. Medical Imaging 39(3): 556-566 (2020) - [c28]Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval. ACCV (5) 2020: 427-442 - [c27]Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. MICCAI (3) 2020: 364-374 - [c26]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. MICCAI (1) 2020: 761-771 - [i24]Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. CoRR abs/2007.05405 (2020) - [i23]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. CoRR abs/2007.08340 (2020) - [i22]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. CoRR abs/2007.08354 (2020) - [i21]Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR abs/2009.13411 (2020) - [i20]Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval. CoRR abs/2009.14661 (2020) - [i19]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 abs/2011.02284 (2020)
2010 – 2019
- 2019
- [j14]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1049-1058 (2019) - [j13]Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1059-1067 (2019) - [j12]Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. IEEE Trans. Medical Imaging 38(4): 1069-1078 (2019) - [c25]Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa:
Self-Supervised Surgical Tool Segmentation using Kinematic Information. ICRA 2019: 8720-8726 - [c24]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. MICCAI (5) 2019: 583-591 - [i18]Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa:
Self-Supervised Surgical Tool Segmentation using Kinematic Information. CoRR abs/1902.04810 (2019) - [i17]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions. CoRR abs/1910.09031 (2019) - 2018
- [c23]Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. CVII-STENT/LABELS@MICCAI 2018: 169-179 - [i16]Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. CoRR abs/1802.03243 (2018) - [i15]Abdolrahim Kadkhodamohammadi, Nicolas Padoy:
A generalizable approach for multi-view 3D human pose regression. CoRR abs/1804.10462 (2018) - [i14]Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks. CoRR abs/1805.08569 (2018) - [i13]Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud, Gregory D. Hager, Makoto Hashizume, Darko Katic, Hannes Kenngott, Ron Kikinis, Michael Kranzfelder, Anand Malpani, Keno März, Beat P. Müller-Stich, Nassir Navab, Thomas Neumuth, Nicolas Padoy, Adrian Park, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, S. Swaroop Vedula, Pierre Jannin, Stefanie Speidel:
Surgical Data Science: A Consensus Perspective. CoRR abs/1806.03184 (2018) - [i12]Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. CoRR abs/1806.05573 (2018) - [i11]Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. CoRR abs/1808.08180 (2018) - [i10]Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Future-State Predicting LSTM for Early Surgery Type Recognition. CoRR abs/1811.11727 (2018) - [i9]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. CoRR abs/1811.12296 (2018) - [i8]Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. CoRR abs/1812.00033 (2018) - [i7]Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos. CoRR abs/1812.01366 (2018) - 2017
- [j11]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Articulated clinician detection using 3D pictorial structures on RGB-D data. Medical Image Anal. 35: 215-224 (2017) - [j10]Nicolas Loy Rodas, Fernando Barrera, Nicolas Padoy:
See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room. IEEE Trans. Biomed. Eng. 64(2): 429-440 (2017) - [j9]Andru Putra Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. IEEE Trans. Medical Imaging 36(1): 86-97 (2017) - [c22]Nicolas Loy Rodas, Julien Bert, Dimitris Visvikis, Michel de Mathelin, Nicolas Padoy:
Pose optimization of a C-arm imaging device to reduce intraoperative radiation exposure of staff and patient during interventional procedures. ICRA 2017: 4200-4207 - [c21]Ivan Aksamentov, Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos. MICCAI (2) 2017: 586-593 - [c20]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms. WACV 2017: 363-372 - [i6]Lena Maier-Hein, S. Swaroop Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, Gregory D. Hager, Pierre Jannin:
Surgical Data Science: Enabling Next-Generation Surgery. CoRR abs/1701.06482 (2017) - [i5]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms. CoRR abs/1701.07372 (2017) - 2016
- [i4]Andru Putra Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. CoRR abs/1602.03012 (2016) - [i3]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms. CoRR abs/1602.03468 (2016) - [i2]Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016. CoRR abs/1610.08844 (2016) - [i1]Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016. CoRR abs/1610.08851 (2016) - 2015
- [j8]Andru Putra Twinanda, Emre O. Alkan, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. Int. J. Comput. Assist. Radiol. Surg. 10(6): 737-747 (2015) - [j7]Andru Putra Twinanda, Emre O. Alkan, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Erratum to: Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1177 (2015) - [j6]Nicolas Loy Rodas, Nicolas Padoy:
Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters. Int. J. Comput. Assist. Radiol. Surg. 10(8): 1181-1191 (2015) - [j5]Andru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Classification approach for automatic laparoscopic video database organization. Int. J. Comput. Assist. Radiol. Surg. 10(9): 1449-1460 (2015) - [c19]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room. MICCAI (1) 2015: 363-370 - [c18]Nicolas Loy Rodas, Fernando Barrera, Nicolas Padoy:
Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization. MICCAI (1) 2015: 463-470 - 2014
- [c17]Fernando Barrera, Nicolas Padoy:
Piecewise Planar Decomposition of 3D Point Clouds Obtained from Multiple Static RGB-D Cameras. 3DV 2014: 194-201 - [c16]Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Temporally Consistent 3D Pose Estimation in the Interventional Room Using Discrete MRF Optimization over RGBD Sequences. IPCAI 2014: 168-177 - [c15]Andru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy:
Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification. IPCAI 2014: 186-195 - [c14]Andru Putra Twinanda, Michel de Mathelin, Nicolas Padoy:
Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query. MICCAI (3) 2014: 409-416 - [c13]Nicolas Loy Rodas, Nicolas Padoy:
3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose. MICCAI (1) 2014: 415-422 - 2012
- [j4]Nicolas Padoy, Tobias Blum, Seyed-Ahmad Ahmadi, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
Statistical modeling and recognition of surgical workflow. Medical Image Anal. 16(3): 632-641 (2012) - [c12]Sebastian Bodenstedt, Nicolas Padoy, Gregory D. Hager:
Learned Partial Automation for Shared Control in Tele-Robotic Manipulation. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c11]Nicolas Padoy, Gregory D. Hager:
Deformable Tracking of Textured Curvilinear Objects. BMVC 2012: 1-11 - 2011
- [c10]Nicolas Padoy, Gregory D. Hager:
Human-Machine Collaborative surgery using learned models. ICRA 2011: 5285-5292 - [c9]Nicolas Padoy, Gregory D. Hager:
3D thread tracking for robotic assistance in tele-surgery. IROS 2011: 2102-2107 - [c8]Nicolas Padoy, Gregory D. Hager:
Spatio-Temporal Registration of Multiple Trajectories. MICCAI (1) 2011: 145-152 - 2010
- [b1]Nicolas Padoy:
Workflow and Activity Modeling for Monitoring Surgical Procedures. (Modélisation des Activités Chirurgicales et de leur Déroulement pour la Reconnaissance des Etapes Opératoires). Henri Poincaré University, Nancy, France, 2010
2000 – 2009
- 2009
- [c7]Olivier Pauly, Nicolas Padoy, Holger Poppert, Lorena Esposito, Nassir Navab:
Wavelet energy map: A robust support for multi-modal registration of medical images. CVPR 2009: 2184-2191 - [c6]Nicolas Padoy, Diana Mateus, Daniel Weinland, Marie-Odile Berger, Nassir Navab:
Workflow monitoring based on 3D motion features. ICCV Workshops 2009: 585-592 - 2008
- [j3]Ulrich Klank, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Automatic feature generation in endoscopic images. Int. J. Comput. Assist. Radiol. Surg. 3(3-4): 331-339 (2008) - [j2]Tobias Blum, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Workflow mining for visualization and analysis of surgeries. Int. J. Comput. Assist. Radiol. Surg. 3(5): 379-386 (2008) - [c5]Nicolas Padoy, Tobias Blum, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
On-line Recognition of Surgical Activity for Monitoring in the Operating Room. AAAI 2008: 1718-1724 - [c4]Tobias Blum, Nicolas Padoy, Hubertus Feußner, Nassir Navab:
Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models. MICCAI (2) 2008: 627-635 - 2007
- [c3]Nicolas Padoy, Tobias Blum, Irfan A. Essa, Hubertus Feußner, Marie-Odile Berger, Nassir Navab:
A Boosted Segmentation Method for Surgical Workflow Analysis. MICCAI (1) 2007: 102-109 - 2006
- [j1]Johanne Cohen, Emmanuel Jeannot, Nicolas Padoy, Frédéric Wagner:
Messages Scheduling for Parallel Data Redistribution between Clusters. IEEE Trans. Parallel Distributed Syst. 17(10): 1163-1175 (2006) - [c2]Martin Groher, Nicolas Padoy, Tobias F. Jakobs, Nassir Navab:
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization. MICCAI (1) 2006: 873-881 - 2003
- [c1]Johanne Cohen, Emmanuel Jeannot, Nicolas Padoy:
Messages Scheduling for Data Redistribution between Clusters. PPAM 2003: 896-906
Coauthor Index
Stephane Cotin
aka: Stéphane Cotin
aka: Stéphane Cotin
[j54] [j53] [c55] [i93] [i92] [i91] [i90] [i89] [i87] [j43] [j42] [c44] [i75] [i67] [i61] [j41] [j40] [j33] [j31] [j30] [j27] [c34] [c32] [c31] [i60] [i59] [i58] [i53] [i49] [i45] [i44] [i43] [j22] [i41] [i39] [i36] [i35] [i34] [j19] [i33] [i29] [i25] [j15] [c27] [i24] [j13] [j12] [c23] [i16] [i14] [i12] [i10] [i8] [i7] [j9] [c21] [i4] [i2] [i1]
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