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1802.03243
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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
9 February 2018
A. P. Twinanda
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
MedIm
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Papers citing
"RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations"
11 / 11 papers shown
Title
Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos
Rezowan Shuvo
M S Mekala
Eyad Elyan
MedIm
125
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
64
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
41
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
29
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
16
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
28
19
0
01 Sep 2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
Dominik Rivoir
S. Bodenstedt
Isabel Funke
F. Bechtolsheim
Marius Distler
Jürgen Weitz
Stefanie Speidel
22
24
0
01 Jul 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
37
71
0
22 May 2018
Am I Done? Predicting Action Progress in Videos
Federico Becattini
Tiberio Uricchio
Lorenzo Seidenari
Lamberto Ballan
A. Bimbo
30
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
173
840
0
09 Feb 2016
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