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

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

9 February 2018

Papers citing "RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations"

10 / 10 papers shown

Title
Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Rezowan Shuvo M S Mekala Eyad Elyan MedIm 95 0 0 26 Apr 2025
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery Oluwatosin O. Alabi K. Toe Zijian Zhou C. Budd Nicholas Raison Miaojing Shi Tom Kamiel Magda Vercauteren ISeg 62 1 0 23 Jun 2024
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery Lianhao Yin Yutong Ban J. Eckhoff O. Meireles Daniela Rus Guy Rosman 39 1 0 03 Feb 2024
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 N. Padoy 27 9 0 17 Jan 2023
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis Dominik Rivoir Isabel Funke Stefanie Speidel 19 15 0 15 Mar 2022
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery Yutong Ban Guy Rosman J. Eckhoff Thomas M. Ward Daniel A. Hashimoto Taisei Kondo Hidekazu Iwaki O. Meireles Daniela Rus 22 13 0 10 May 2021
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows Yutong Ban Guy Rosman Thomas M. Ward Daniel A. Hashimoto Taisei Kondo Hidekazu Iwaki O. Meireles Daniela Rus 20 19 0 01 Sep 2020
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 24 71 0 22 May 2018
Am I Done? Predicting Action Progress in Videos Federico Becattini Tiberio Uricchio Lorenzo Seidenari Lamberto Ballan A. Bimbo 28 33 0 04 May 2017
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 168 839 0 09 Feb 2016