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Transfer Learning for Domain Adaptation in MRI: Application in Brain
  Lesion Segmentation

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

25 February 2017
Mohsen Ghafoorian
Alireza Mehrtash
Tina Kapur
N. Karssemeijer
E. Marchiori
Mehran Pesteie
C. Guttmann
F.‐E. Leeuw
C. Tempany
Bram van Ginneken
Andrey Fedorov
Purang Abolmaesumi
B. Platel
W. Wells
    MedIm
    OOD
ArXivPDFHTML

Papers citing "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation"

43 / 43 papers shown
Title
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
21
0
0
18 Sep 2023
Exploring Transfer Learning in Medical Image Segmentation using
  Vision-Language Models
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
K. Poudel
Manish Dhakal
Prasiddha Bhandari
Rabin Adhikari
Safal Thapaliya
Bishesh Khanal
VLM
30
17
0
15 Aug 2023
Brain tumor multi classification and segmentation in MRI images using
  deep learning
Brain tumor multi classification and segmentation in MRI images using deep learning
Belal Amin
Romario Sameh Samir
Youssef Tarek
M. Ahmed
R. Ibrahim
Manar Ahmed
Mohamed Hassan
6
4
0
20 Apr 2023
CellTranspose: Few-shot Domain Adaptation for Cellular Instance
  Segmentation
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation
M. Keaton
Ram J. Zaveri
Gianfranco Doretto
19
14
0
28 Dec 2022
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality
  Domain Adaptation on Medical Image Segmentation
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
Shaolei Liu
Siqi Yin
Linhao Qu
Manning Wang
OOD
22
11
0
28 Nov 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
37
30
0
16 Sep 2022
Robust machine learning segmentation for large-scale analysis of
  heterogeneous clinical brain MRI datasets
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Benjamin Billot
C. Magdamo
You Cheng
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
24
97
0
05 Sep 2022
Multi-Scale Multi-Target Domain Adaptation for Angle Closure
  Classification
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
Zhen Qiu
Yifan Zhang
Fei Li
Xiulan Zhang
Yanwu Xu
Mingkui Tan
43
1
0
25 Aug 2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain
  Medical Images
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
40
26
0
27 May 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and
  no Retraining
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
Benjamin Billot
Magdamo Colin
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
OOD
23
11
0
03 Mar 2022
Mitigating domain shift in AI-based tuberculosis screening with
  unsupervised domain adaptation
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
Nishanjan Ravin
Sourajit Saha
A. Schweitzer
A. Elahi
Farouk Dako
D. Mollura
David Chapman
OOD
22
0
0
09 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
25
30
0
31 Oct 2021
Dispensed Transformer Network for Unsupervised Domain Adaptation
Dispensed Transformer Network for Unsupervised Domain Adaptation
Yunxiang Li
Jingxiong Li
Ruilong Dan
Shuai Wang
Kai Jin
...
Qianni Zhang
Huiyu Zhou
Qun Jin
Li Wang
Yaqi Wang
OOD
MedIm
23
4
0
28 Oct 2021
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac
A. Moody
A. Khademi
MedIm
27
0
0
14 Aug 2021
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Ivan Zakazov
B. Shirokikh
A. Chernyavskiy
Mikhail Belyaev
OOD
27
15
0
10 Jul 2021
Rethinking Transfer Learning for Medical Image Classification
Rethinking Transfer Learning for Medical Image Classification
Le Peng
Hengyue Liang
Gaoxiang Luo
Taihui Li
Ju Sun
VLM
LM&MA
16
5
0
09 Jun 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
48
529
0
18 Feb 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with
  Reliable Transfer for Cardiac Segmentation
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Kang Li
Shujun Wang
Lequan Yu
Pheng-Ann Heng
67
28
0
07 Jan 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
Unsupervised Domain Adaptation via CycleGAN for White Matter
  Hyperintensity Segmentation in Multicenter MR Images
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images
Julian Alberto Palladino
D. Slezak
Enzo Ferrante
OOD
MedIm
26
27
0
10 Sep 2020
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for
  Annotation-efficient Cardiac Segmentation
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
Kang Li
Shujun Wang
Lequan Yu
Pheng-Ann Heng
19
51
0
13 Jul 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation
  with Fully Convolutional Neural Networks
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks
Davood Karimi
Simon K. Warfield
Ali Gholipour
MedIm
16
19
0
30 May 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply
  Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng Ann Heng
21
311
0
06 Feb 2020
Bridging the gap between AI and Healthcare sides: towards developing
  clinically relevant AI-powered diagnosis systems
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han
L. Rundo
K. Murao
T. Nemoto
Hideki Nakayama
MedIm
30
27
0
12 Jan 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
24
264
0
29 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
24
218
0
06 Nov 2019
Brain MRI Tumor Segmentation with Adversarial Networks
Brain MRI Tumor Segmentation with Adversarial Networks
E. Giacomello
Daniele Loiacono
L. Mainardi
GAN
MedIm
24
6
0
07 Oct 2019
Towards continuous learning for glioma segmentation with elastic weight
  consolidation
Towards continuous learning for glioma segmentation with elastic weight consolidation
Karin A. van Garderen
S. V. D. Voort
Fatih Incekara
M. Smits
S. Klein
CLL
11
19
0
25 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
A Transfer Learning Approach for Automated Segmentation of Prostate
  Whole Gland and Transition Zone in Diffusion Weighted MRI
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI
Saman Motamed
Isha Gujrathi
D. Deniffel
Anton Oentoro
M. Haider
Farzad Khalvati
MedIm
11
9
0
20 Sep 2019
Intensity augmentation for domain transfer of whole breast segmentation
  in MRI
Intensity augmentation for domain transfer of whole breast segmentation in MRI
L. Hesse
Grey Kuling
M. Veta
Anne L. Martel
19
5
0
05 Sep 2019
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease
  Recognition in Cross-Domain Chest X-rays
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
Yuxing Tang
Youbao Tang
V. Sandfort
Jing Xiao
Ronald M. Summers
ViT
MedIm
24
40
0
21 Aug 2019
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised
  Domain Adaptation
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Sulaiman Vesal
Nishant Ravikumar
Andreas Maier
21
20
0
21 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
29
19
0
15 Aug 2019
Fully-automated deep learning-powered system for DCE-MRI analysis of
  brain tumors
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
J. Nalepa
P. R. Lorenzo
Michal Marcinkiewicz
B. Bobek-Billewicz
P. Wawrzyniak
...
M. Kawulok
Wojciech Dudzik
Grzegorz Mrukwa
Pawel Ulrych
M. P. Hayball
24
47
0
18 Jul 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain
  Adaptation for Medical Image Segmentation
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng-Ann Heng
OOD
8
308
0
24 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain
  Adaptation
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira
E. Ferreira
J. A. dos Santos
MedIm
19
14
0
16 Jan 2019
One-shot domain adaptation in multiple sclerosis lesion segmentation
  using convolutional neural networks
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
Sergi Valverde
Mostafa Salem
Mariano Cabezas
D. Pareto
J. Vilanova
L. Ramió-Torrentá
À. Rovira
J. Salvi
A. Oliver
Xavier Llado
16
135
0
31 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
745
0
17 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
334
10,621
0
19 Feb 2017
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
21
236
0
16 Oct 2016
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