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ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath
  While Tracking Instruments in Robotic Surgery

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

10 December 2021
Mobarakol Islam
V. Vibashan
C. Lim
Hongliang Ren
ArXivPDFHTML

Papers citing "ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery"

10 / 10 papers shown
Title
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise
  Treatment Response Prediction and Survival Analysis for Gastric Cancer
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer
Fengtao Zhou
Ying Xu
Yanfen Cui
Shenyang Zhang
Yun Zhu
...
Louis Ho Shing Lau
Chu Han
Dafu Zhang
Zhenhui Li
Hao Chen
30
1
0
01 Apr 2024
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information
  for Improved Video Segmentation
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
R. Mendel
Tobias Rueckert
Dirk Wilhelm
Daniel Rueckert
Christoph Palm
22
0
0
05 Mar 2024
Multi-task learning with cross-task consistency for improved depth
  estimation in colonoscopy
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy
P. E. Chavarrias-Solano
A. Bulpitt
Venkataraman Subramanian
Sharib Ali
28
0
0
30 Nov 2023
SAM Meets Robotic Surgery: An Empirical Study on Generalization,
  Robustness and Adaptation
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation
An-Chi Wang
Mobarakol Islam
Mengya Xu
Yang Zhang
Hongliang Ren
AAML
26
26
0
14 Aug 2023
Task-Aware Asynchronous Multi-Task Model with Class Incremental
  Contrastive Learning for Surgical Scene Understanding
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding
Lalithkumar Seenivasan
Mobarakol Islam
Mengya Xu
C. Lim
Hongliang Ren
35
3
0
28 Nov 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument
  Segmentation
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
2020 CATARACTS Semantic Segmentation Challenge
2020 CATARACTS Semantic Segmentation Challenge
Imanol Luengo
M. Grammatikopoulou
R. Mohammadi
Chris Walsh
C. Nwoye
...
Jianyuan Hong
Haili Ye
F. Huang
Da-han Wang
Danail Stoyanov
3DPC
25
9
0
21 Oct 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and
  Dynamic Online Adaptation in Robotic Surgical Video
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
Zixu Zhao
Yueming Jin
Bo Lu
Chi-Fai Ng
Qi Dou
Yunhui Liu
Pheng-Ann Heng
12
24
0
24 Mar 2021
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary
  Supervised Deep Adversarial Learning
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning
Mobarakol Islam
Daniel Anojan Atputharuban
Ravikiran Ramesh
Hongliang Ren
MedIm
73
94
0
22 Jul 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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