Unsupervised temporal context learning using convolutional neural
networks for laparoscopic workflow analysis

Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis

13 February 2017

Benjamin F. B. Mayer

Beat Müller-Stich

Rüdiger Dillmann

Stefanie Speidel

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Papers citing "Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis"

14 / 14 papers shown

Title
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 129 46 0 01 Jul 2022
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study Tobias Czempiel Aidean Sharghi Magdalini Paschali Nassir Navab Omid Mohareri 77 8 0 17 Mar 2022
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion Daochang Liu Yuhui Wei Tingting Jiang Yizhou Wang R. Miao F. Shan Ziyu Li MedIm 79 27 0 27 Aug 2020
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition Xueying Shi Yueming Jin Qi Dou Pheng-Ann Heng 51 19 0 21 Apr 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction Beatrice van Amsterdam Matthew J. Clarkson Danail Stoyanov 107 39 0 10 Mar 2020
Automated Surgical Activity Recognition with One Labeled Sequence R. DiPietro Gregory Hager 69 18 0 20 Jul 2019
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos S. S. Mondal R. Sathish Debdoot Sheet 75 18 0 20 May 2019
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition Tong Yu Didier Mutter J. Marescaux N. Padoy 82 48 0 30 Nov 2018
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis S. Bodenstedt Dominik Rivoir L. Mündermann M. Wagner Michael Breucha Beat Müller-Stich S. T. Mees Jürgen Weitz Stefanie Speidel 86 45 0 08 Nov 2018
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis Isabel Funke Alexander C. Jenke S. T. Mees Jürgen Weitz Stefanie Speidel S. Bodenstedt 57 44 0 18 Jun 2018
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks Gaurav Yengera Didier Mutter J. Marescaux N. Padoy 86 72 0 22 May 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning T. Ross David Zimmerer A. Vemuri Fabian Isensee Manuel Wiesenfarth ... H. Kenngott Stefanie Speidel Annette Kopp-Schneider Klaus Maier-Hein Lena Maier-Hein MedIm SSL 93 132 0 27 Nov 2017
Analyzing Before Solving: Which Parameters Influence Low-Level Surgical Activity Recognition O. Dergachyova X. Morandi Pierre Jannin 21 0 0 15 Nov 2017
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks Hassan Al Hajj M. Lamard Pierre-Henri Conze B. Cochener G. Quellec 68 3 0 04 Oct 2017