Didier Mutter

According to our database, Didier Mutter authored at least 37 papers between 2000 and 2024.

Collaborative distances:

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

2024

Latent Graph Representations for Critical View of Safety Assessment.

Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy

IEEE Trans. Medical Imaging, March, 2024

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation.

Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy

CoRR, 2024

2023

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.

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

Medical Image Anal., October, 2023

Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition.

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy

IEEE Trans. Medical Imaging, September, 2023

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., September, 2023

Live laparoscopic video retrieval with compressed uncertainty.

Tong Yu, Pietro Mascagni, Juan Verde, Jacques Marescaux, Didier Mutter, Nicolas Padoy

Medical Image Anal., August, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.

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

Medical Image Anal., May, 2023

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.

Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy

CoRR, 2023

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

CoRR, 2023

Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery.

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

CoRR, 2023

TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research.

William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

CoRR, 2023

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos.

Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, AI4SafeChole Consortium, Didier Mutter, Nicolas Padoy

CoRR, 2023

Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition.

Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., 2023

ST(OR)²: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

Proceedings of the Medical Imaging with Deep Learning, 2023

Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions.

Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy

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

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.

Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy

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

2022

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.

Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy

Medical Image Anal., 2022

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation.

Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola, Armine Vardazaryan, Jean-Paul Mazellier, Bernard Dallemagne, Didier Mutter, Nicolas Padoy

CoRR, 2022

2021

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation.

Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy

CoRR, 2021

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy

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

2020

Future-State Predicting LSTM for Early Surgery Type Recognition.

Siddharth Kannan, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

IEEE Trans. Medical Imaging, 2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets.

Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.

Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

IEEE Trans. Medical Imaging, 2019

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos.

Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition.

Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy

CoRR, 2018

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks.

Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy

CoRR, 2018

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos.

Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

2017

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos.

Andru Putra Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy

IEEE Trans. Medical Imaging, 2017

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos.

Ivan Aksamentov, Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Nicolas Padoy

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

2016

Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016.

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy

CoRR, 2016

Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016.

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Michel de Mathelin, Nicolas Padoy

CoRR, 2016

2008

In Vivo Evaluation of a Guidance System for Computer Assisted Robotized Needle Insertion Devoted to Small Animals.

Stéphane Nicolau, Luis Mendoza-Burgos, Luc Soler, Didier Mutter, Jacques Marescaux

Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Virtual reality and augmented reality applied to laparoscopic and notes procedures.

Luc Soler, Stéphane Nicolau, Jean-Baptiste Fasquel, Vincent Agnus, Arnaud Charnoz, Alexandre Hostettler, Johan Moreau, Clement Forest, Didier Mutter, Jacques Marescaux

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2004

Toward realistic radiofrequency ablation of hepatic tumors 3D simulation and planning.

Caroline Villard, Luc Soler, Afshin Gangi, Didier Mutter, Jacques Marescaux

Proceedings of the Medical Imaging 2004: Visualization, 2004

2003

RF-Sim: a Treatment Planning Tool for Radiofrequency Ablation of Hepatic Tumors.

Caroline Villard, Luc Soler, Nicolas Papier, Vincent Agnus, Afshin Gangi, Didier Mutter, Jacques Marescaux

Proceedings of the Seventh International Conference on Information Visualization, 2003

Virtual Radiofrequency Ablation of Liver Tumors.

Caroline Villard, Luc Soler, Nicolas Papier, Vincent Agnus, Sylvain Thery, Afshin Gangi, Didier Mutter, Jacques Marescaux

Proceedings of the Surgery Simulation and Soft Tissue Modeling, International Symposium, 2003

2000

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery.

Luc Soler, Herve Delingette, Grégoire Malandain, Johan Montagnat, Nicholas Ayache, Jean-Marie Clement, Christophe Koehl, Olivier Dourthe, Didier Mutter, Jacques Marescaux

Proceedings of the Medical Imaging 2000: Image Processing, 2000