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Future-State Predicting LSTM for Early Surgery Type Recognition
28 November 2018
Siddharth Kannan
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
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Papers citing
"Future-State Predicting LSTM for Early Surgery Type Recognition"
7 / 7 papers shown
Title
Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis
Saurav Sharma
Maria Vannucci
Leonardo Pestana Legori
Mario Scaglia
Giovanni Guglielmo Laracca
Didier Mutter
Sergio Alfieri
Pietro Mascagni
N. Padoy
38
0
0
10 Feb 2025
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
Kun Yuan
V. Srivastav
Nassir Navab
N. Padoy
44
7
0
30 Sep 2024
MURPHY: Relations Matter in Surgical Workflow Analysis
Shang Zhao
Yanzhe Liu
Qiyuan Wang
Dai Sun
Rong Liu
S.Kevin Zhou
24
4
0
24 Dec 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir
Isabel Funke
Stefanie Speidel
24
16
0
15 Mar 2022
Live Laparoscopic Video Retrieval with Compressed Uncertainty
Tong Yu
Pietro Mascagni
J. Verde
J. Marescaux
Didier Mutter
N. Padoy
42
7
0
08 Mar 2022
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
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
188
840
0
09 Feb 2016
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