Title
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness Idris Hamoud Alexandros Karargyris Aidean Sharghi Omid Mohareri N. Padoy SSL 28 1 0 07 Jul 2024
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures Kun Yuan V. Srivastav Tong Yu Joël L. Lavanchy Pietro Mascagni Pietro Mascagni N. Padoy Nicolas Padoy 22 20 0 27 Jul 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 17 1 0 21 Feb 2023
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 18 42 0 01 Jul 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet Nan Wang Shaohui Lin Xiaoxiao Li Ke Li Yunhang Shen Yue Gao Lizhuang Ma ViT MedIm 41 33 0 02 Jun 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 25 35 0 16 Feb 2022
Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks Hanna Kossowsky I. Nisky 13 6 0 23 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 175 0 17 Sep 2021
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 27 26 0 27 Aug 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 19 65 0 14 Jul 2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room Lena Maier-Hein M. Wagner T. Ross Annika Reinke S. Bodenstedt ... M. Apitz Annette Kopp-Schneider Stefanie Speidel H. Kenngott Beat P. Müller-Stich 34 82 0 07 May 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 13 750 0 27 Aug 2019
Self-Supervised Surgical Tool Segmentation using Kinematic Information C. Rocha N. Padoy Benoit Rosa 15 42 0 13 Feb 2019
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,369 0 19 Sep 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis V. Cheplygina Marleen de Bruijne J. Pluim 13 743 0 17 Apr 2018
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 170 840 0 09 Feb 2016