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Efficient Active Learning for Image Classification and Segmentation
  using a Sample Selection and Conditional Generative Adversarial Network

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

14 June 2018
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
M. Reyes
    GAN
    MedIm
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Papers citing "Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network"

47 / 97 papers shown
Title
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han
Jiatai Lin
Jinhai Mai
Yi Wang
Qingling Zhang
...
Zeyan Xu
Xiaomei Huang
Guoqiang Han
Chang-xiu Liang
Zaiyi Liu
32
89
0
14 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised
  Learning: Application To Gleason Grade Segmentation
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Dwarikanath Mahapatra
SSL
36
6
0
01 Oct 2021
When Deep Learners Change Their Mind: Learning Dynamics for Active
  Learning
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning
Javad Zolfaghari Bengar
Bogdan Raducanu
Joost van de Weijer
11
10
0
30 Jul 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
25
66
0
29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
16
46
0
23 Jul 2021
Knowledge Modelling and Active Learning in Manufacturing
Knowledge Modelling and Active Learning in Manufacturing
Jože M. Rožanec
I. Novalija
Patrik Zajec
K. Kenda
Dunja Mladenić
AI4CE
19
3
0
05 Jul 2021
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A
  State-of-the-Art Review and Future Perspectives
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives
Yinzhe Wu
Zeyu Tang
Binghuan Li
D. Firmin
Guang Yang
27
40
0
28 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
30
8
0
15 Jun 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning
  For Disease Classification And Segmentation
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation
Dwarikanath Mahapatra
23
53
0
13 Apr 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
Cheng Chen
ObjD
22
50
0
18 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
14
58
0
28 Feb 2021
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot
  Medical Image Segmentation
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
Yuhang Ding
Xin Yu
Yi Yang
OOD
30
34
0
03 Feb 2021
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
35
68
0
07 Jan 2021
Minimax Active Learning
Minimax Active Learning
Sayna Ebrahimi
William Gan
Dian Chen
Giscard Biamby
Kamyar Salahi
Michael Laielli
Shizhan Zhu
Trevor Darrell
19
26
0
18 Dec 2020
Medical symptom recognition from patient text: An active learning
  approach for long-tailed multilabel distributions
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
A. Mottaghi
P. Sarma
X. Amatriain
Serena Yeung
Anitha Kannan
19
10
0
12 Nov 2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu
Yukun Cao
Cheng Jin
Guozhu Shao
Xiaoqing Liu
Jie Zhou
Heshui Shi
Jianjiang Feng
MedIm
33
25
0
19 Oct 2020
MetaBox+: A new Region Based Active Learning Method for Semantic
  Segmentation using Priority Maps
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
Pascal Colling
L. Roese-Koerner
Hanno Gottschalk
Matthias Rottmann
30
26
0
05 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Míriam Bellver
Amaia Salvador
Jordi Torres
Xavier Giró-i-Nieto
ISeg
8
5
0
25 Aug 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
26
161
0
13 Aug 2020
Structure Preserving Stain Normalization of Histopathology Images Using
  Self-Supervised Semantic Guidance
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
Ling Shao
MedIm
16
46
0
05 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic
  Segmentation
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. Golestaneh
Kris Kitani
SSL
24
36
0
04 Aug 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
33
37
0
22 Jul 2020
Deep Active Learning via Open Set Recognition
Deep Active Learning via Open Set Recognition
J. Mandivarapu
Blake Camp
Rolando Estrada
BDL
VLM
UQCV
EDL
DRL
26
8
0
04 Jul 2020
Registration of Histopathogy Images Using Structural Information From
  Fine Grained Feature Maps
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps
Dwarikanath Mahapatra
15
12
0
04 Jul 2020
Medical Image Generation using Generative Adversarial Networks
Medical Image Generation using Generative Adversarial Networks
N. Singh
Khalid Raza
GAN
MedIm
16
20
0
19 May 2020
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical
  Workflow Recognition
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition
Xueying Shi
Yueming Jin
Qi Dou
Pheng-Ann Heng
27
19
0
21 Apr 2020
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active Learning
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
31
126
0
10 Apr 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric
  Relation Based Augmentation
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
Ling Shao
14
29
0
31 Mar 2020
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained
  Lesion Synthesis on Diabetic Retinopathy Images
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Yi Zhou
Boyang Wang
Xiaodong He
Shanshan Cui
Ling Shao
GAN
MedIm
27
92
0
10 Dec 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chia-Ju Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
64
674
0
09 Nov 2019
Generative Adversarial Networks And Domain Adaptation For Training Data
  Independent Image Registration
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration
Dwarikanath Mahapatra
GAN
OOD
MedIm
11
7
0
18 Oct 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for
  Medical Image Analysis
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd
E. C. Robinson
Bernhard Kainz
LM&MA
6
469
0
07 Oct 2019
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion
  Analysis
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Xueying Shi
Qi Dou
Cheng Xue
J. Qin
Hao Chen
Pheng-Ann Heng
31
38
0
05 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Benefiting from Multitask Learning to Improve Single Image
  Super-Resolution
Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Mohammad Saeed Rad
Behzad Bozorgtabar
C. Musat
Urs-Viktor Marti
Max Basler
H. K. Ekenel
Jean-Philippe Thiran
SupR
38
15
0
29 Jul 2019
AMD Severity Prediction And Explainability Using Image Registration And
  Deep Embedded Clustering
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
Dwarikanath Mahapatra
32
15
0
06 Jul 2019
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
Yanyuet Man
Xiangyun Ding
Xingcheng Yao
Han Bao
MedIm
14
0
0
03 Jul 2019
Informative sample generation using class aware generative adversarial
  networks for classification of chest Xrays
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Behzad Bozorgtabar
Dwarikanath Mahapatra
Hendrik von Teng
Alexander Pollinger
L. Ebner
Jean-Phillipe Thiran
M. Reyes
MedIm
GAN
18
33
0
24 Apr 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
39
570
0
31 Mar 2019
Training Data Independent Image Registration With GANs Using Transfer
  Learning And Segmentation Information
Training Data Independent Image Registration With GANs Using Transfer Learning And Segmentation Information
Dwarikanath Mahapatra
Z. Ge
MedIm
GAN
14
19
0
25 Mar 2019
Progressive Generative Adversarial Networks for Medical Image Super
  resolution
Progressive Generative Adversarial Networks for Medical Image Super resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
GAN
MedIm
19
28
0
06 Feb 2019
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
18
408
0
13 Sep 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
GAN Based Medical Image Registration
GAN Based Medical Image Registration
Dwarikanath Mahapatra
MedIm
18
28
0
07 May 2018
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