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FUN-SIS: a Fully UNsupervised approach for Surgical Instrument
  Segmentation

FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation

16 February 2022
Luca Sestini
Benoit Rosa
Elena De Momi
G. Ferrigno
N. Padoy
ArXiv (abs)PDFHTML

Papers citing "FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation"

46 / 46 papers shown
Title
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Guiqiu Liao
M. Jogan
Marcel Hussing
Kenta Nakahashi
Kazuhiro Yasufuku
Amin Madani
Eric Eaton
Daniel A. Hashimoto
465
0
0
21 Jan 2025
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
Mobarakol Islam
V. Vibashan
C. Lim
Hongliang Ren
67
40
0
10 Dec 2021
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with
  Transformer-based Stereoscopic Depth Perception
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
Yonghao Long
Zhaoshuo Li
C. Yee
Chi-Fai Ng
Russell H. Taylor
Mathias Unberath
Qi Dou
MedIm
76
63
0
01 Jul 2021
Self-supervised Video Object Segmentation by Motion Grouping
Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang
Hala Lamdouar
Erika Lu
Andrew Zisserman
Weidi Xie
VOSOCL
86
162
0
15 Apr 2021
Co-Generation and Segmentation for Generalized Surgical Instrument
  Segmentation on Unlabelled Data
Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Megha Kalia
Tajwar Abrar Aleef
Nassir Navab
Septimiu E. Salcudean
MedIm
53
13
0
16 Mar 2021
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical
  Instruments directly from Images
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
Luca Sestini
Benoit Rosa
Elena De Momi
G. Ferrigno
N. Padoy
MedIm
51
19
0
28 Feb 2021
Image Compositing for Segmentation of Surgical Tools without Manual
  Annotations
Image Compositing for Segmentation of Surgical Tools without Manual Annotations
Luis C. Garcia-Peraza-Herrera
Lucas Fidon
Claudia DrEttorre
Danail Stoyanov
Tom Vercauteren
Sebastien Ourselin
40
40
0
18 Feb 2021
Unsupervised Surgical Instrument Segmentation via Anchor Generation and
  Semantic Diffusion
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
71
27
0
27 Aug 2020
Making a Case for 3D Convolutions for Object Segmentation in Videos
Making a Case for 3D Convolutions for Object Segmentation in Videos
Sabarinath Mahadevan
A. Athar
Aljosa Osep
Sebastian Hennen
Laura Leal-Taixé
Bastian Leibe
VOS
67
88
0
26 Aug 2020
Endo-Sim2Real: Consistency learning-based domain adaptation for
  instrument segmentation
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation
Manish Sahu
Ronja Strömsdörfer
Anirban Mukhopadhyay
S. Zachow
101
35
0
22 Jul 2020
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Emanuele Colleoni
P. J. Eddie Edwards
Danail Stoyanov
MedIm
64
62
0
17 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
117
998
0
16 Jul 2020
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via
  Action Triplets
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
C. Nwoye
Cristians Gonzalez
Tong Yu
Pietro Mascagni
Didier Mutter
J. Marescaux
N. Padoy
66
82
0
10 Jul 2020
Towards Unsupervised Learning for Instrument Segmentation in Robotic
  Surgery with Cycle-Consistent Adversarial Networks
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks
D. Pakhomov
Wei Shen
Nassir Navab
MedImGAN
75
20
0
09 Jul 2020
Learning Motion Flows for Semi-supervised Instrument Segmentation from
  Robotic Surgical Video
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Zixu Zhao
Yueming Jin
Xiaojie Gao
Qi Dou
Pheng-Ann Heng
71
44
0
06 Jul 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
76
445
0
24 Jun 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
260
2,647
0
26 Mar 2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
85
317
0
04 Oct 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
96
904
0
16 Aug 2019
Incorporating Temporal Prior from Motion Flow for Instrument
  Segmentation in Minimally Invasive Surgery Video
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
Yueming Jin
Keyun Cheng
Qi Dou
Pheng-Ann Heng
77
120
0
18 Jul 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left
  Atrium Segmentation
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lequan Yu
Shujun Wang
Xuelong Li
Chi-Wing Fu
Pheng-Ann Heng
UQCV
95
856
0
16 Jul 2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. Hasan
Cristian A. Linte
MedIm
78
95
0
24 Feb 2019
Unsupervised Moving Object Detection via Contextual Information
  Separation
Unsupervised Moving Object Detection via Contextual Information Separation
Yanchao Yang
Antonio Loquercio
Davide Scaramuzza
Stefano Soatto
GAN
74
127
0
10 Jan 2019
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
85
2,615
0
20 May 2018
Comparative evaluation of instrument segmentation and tracking methods
  in minimally invasive surgery
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
S. Bodenstedt
M. Allan
Anthony Agustinos
Xiaofei Du
Luis C. Garcia-Peraza-Herrera
...
M. Wagner
Pamela Wochner
Lena Maier-Hein
Danail Stoyanov
Stefanie Speidel
73
63
0
07 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
130
2,082
0
18 Apr 2018
Leveraging Crowdsourcing Data For Deep Active Learning - An Application:
  Learning Intents in Alexa
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa
Jie Yang
Thomas Drake
Andreas C. Damianou
Y. Maarek
FedML
44
63
0
12 Mar 2018
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep
  Learning
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
Alexey A. Shvets
Alexander Rakhlin
Alexandr A Kalinin
V. Iglovikov
139
344
0
03 Mar 2018
Automated Surgical Skill Assessment in RMIS Training
Automated Surgical Skill Assessment in RMIS Training
Aneeq Zia
Irfan Essa
43
125
0
22 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
131
1,456
0
14 Dec 2017
CycleGAN, a Master of Steganography
CycleGAN, a Master of Steganography
Casey Chu
A. Zhmoginov
Mark Sandler
GAN
67
213
0
08 Dec 2017
Exploiting the potential of unlabeled endoscopic video data with
  self-supervised learning
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
T. Ross
David Zimmerer
A. Vemuri
Fabian Isensee
Manuel Wiesenfarth
...
H. Kenngott
Stefanie Speidel
Annette Kopp-Schneider
Klaus Maier-Hein
Lena Maier-Hein
MedImSSL
81
132
0
27 Nov 2017
CleanNet: Transfer Learning for Scalable Image Classifier Training with
  Label Noise
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Kuang-Huei Lee
Xiaodong He
Lei Zhang
Linjun Yang
NoLa
80
458
0
20 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
272
2,450
0
07 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,928
0
25 Aug 2017
WebVision Database: Visual Learning and Understanding from Web Data
WebVision Database: Visual Learning and Understanding from Web Data
Wen Li
Limin Wang
Wei Li
E. Agustsson
Luc Van Gool
VLM
95
441
0
09 Aug 2017
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical
  Tools
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools
Luis C. Garcia-Peraza-Herrera
Wenqi Li
Lucas Fidon
Caspar Gruijthuijsen
A. Devreker
...
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Vercauteren
Sebastien Ourselin
71
130
0
25 Jun 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
131
1,829
0
16 Jun 2017
Deep Learning is Robust to Massive Label Noise
Deep Learning is Robust to Massive Label Noise
David Rolnick
Andreas Veit
Serge J. Belongie
Nir Shavit
NoLa
103
558
0
30 May 2017
Concurrent Segmentation and Localization for Tracking of Surgical
  Instruments
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Iro Laina
Nicola Rieke
Christian Rupprecht
Josué Page Vizcaíno
Abouzar Eslami
Federico Tombari
Nassir Navab
80
148
0
30 Mar 2017
Deep Residual Learning for Instrument Segmentation in Robotic Surgery
Deep Residual Learning for Instrument Segmentation in Robotic Surgery
D. Pakhomov
Vittal Premachandran
M. Allan
M. Azizian
Nassir Navab
MedIm
53
118
0
24 Mar 2017
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
CVBM
176
1,963
0
27 Jul 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
244
864
0
09 Feb 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
72
2,649
0
07 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
90
373
0
07 May 2015
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