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Semi-supervised few-shot learning for medical image segmentation
v1v2 (latest)

Semi-supervised few-shot learning for medical image segmentation

18 March 2020
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised few-shot learning for medical image segmentation"

37 / 37 papers shown
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than
Nhat-Anh Nguyen-Dang
Dung Nguyen
Salwa K. Al Khatib
Ahmed Elhagry
Hai T. Phan
Yihui He
Zhiqiang Shen
Marios Savvides
Dang T. Huynh
VLM
423
2
0
12 Mar 2025
Segmentation by registration-enabled SAM prompt engineering using five
  reference images
Segmentation by registration-enabled SAM prompt engineering using five reference images
Yaxi Chen
Aleksandra Ivanova
Shaheer U. Saeed
R. Hargunani
Jie Huang
Chaozong Liu
Yipeng Hu
MedIm
279
8
0
25 Jul 2024
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
Lev Ayzenberg
Raja Giryes
H. Greenspan
VLMMedIm
428
13
0
09 Jul 2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image
  Segmentation
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Songkai Sun
Qingshan She
Yuliang Ma
Rihui Li
Yingchun Zhang
MedIm
238
6
0
11 Apr 2024
Self-Prompting Large Vision Models for Few-Shot Medical Image
  Segmentation
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
Qi Wu
Yuyao Zhang
Marawan Elbatel
VLMMedIm
199
52
0
15 Aug 2023
Self-supervised Few-shot Learning for Semantic Segmentation: An
  Annotation-free Approach
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
Sanaz Karimijafarbigloo
Reza Azad
Dorit Merhof
256
14
0
26 Jul 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Neuralizer: General Neuroimage Analysis without Re-TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Steffen Czolbe
H. Dickinson
OOD
384
27
0
04 May 2023
Domain Generalization for Mammographic Image Analysis with Contrastive
  Learning
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li
Zhiming Cui
Lichi Zhang
Sheng Wang
Chenjin Lei
...
Yajia Gu
Zaiyi Liu
Chunling Liu
Dinggang Shen
Jie‐Zhi Cheng
661
5
0
20 Apr 2023
DAE-Former: Dual Attention-guided Efficient Transformer for Medical
  Image Segmentation
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad
René Arimond
Ehsan Khodapanah Aghdam
Amirhosein Kazerouni
Dorit Merhof
ViTMedIm
372
150
0
27 Dec 2022
Active learning using adaptable task-based prioritisation
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed
João Ramalhinho
Mark A. Pinnock
Ziyi Shen
Yunguan Fu
...
D. Barratt
Stephen P. Pereira
Brian R. Davidson
Matthew J. Clarkson
Yipeng Hu
211
8
0
03 Dec 2022
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-NetIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
404
764
0
27 Nov 2022
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin
  Lesion Segmentation
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Ehsan Khodapanah Aghdam
Reza Azad
Maral Zarvani
Dorit Merhof
ViTSSegMedIm
206
86
0
30 Oct 2022
Prototypical few-shot segmentation for cross-institution male pelvic
  structures with spatial registration
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
Yiwen Li
Yunguan Fu
Iani J. M. B. Gayo
Qianye Yang
Zhe Min
...
Matthew J. Clarkson
Henkjan J. Huisman
D. Barratt
V. Prisacariu
Yipeng Hu
266
18
0
12 Sep 2022
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical
  Image Segmentation
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Reza Azad
Moein Heidari
M. Shariatnia
Ehsan Khodapanah Aghdam
Sanaz Karimijafarbigloo
Ehsan Adeli
Dorit Merhof
ViTMedIm
287
164
0
01 Aug 2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism
  for a Deep Segmentation Model
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelIEEE Access (IEEE Access), 2022
Reza Azad
Mohammad T. Al-Antary
Moein Heidari
Dorit Merhof
ViTMedIm
255
121
0
27 Jul 2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers
  for Medical Image Segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Moein Heidari
Amirhossein Kazerouni
Milad Soltany Kadarvish
Reza Azad
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
MedImViT
372
336
0
18 Jul 2022
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection
  using limited triplets
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
A. Bhimireddy
J. L. Burns
S. Purkayastha
J. Gichoya
LM&MAMedIm
207
2
0
16 Apr 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing
  modalities
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalitiesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Reza Azad
Nika Khosravi
Dorit Merhof
228
83
0
06 Apr 2022
Intervertebral Disc Labeling With Learning Shape Information, A Look
  Once Approach
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach
Reza Azad
Moein Heidari
Julien Cohen-Adad
Ehsan Adeli
Dorit Merhof
190
6
0
06 Apr 2022
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task
  Deep Network for Medical Image Semantic Segmentation
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
Binod Bhattarai
Ronast Subedi
Rebati Gaire
E. Vazquez
Danail Stoyanov
OOD
170
67
0
02 Apr 2022
Label conditioned segmentation
Label conditioned segmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Tianyu Ma
Benjamin C. Lee
M. Sabuncu
SSegVLM
107
0
0
17 Mar 2022
Medical Image Segmentation on MRI Images with Missing Modalities: A
  Review
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
Reza Azad
Nika Khosravi
Mohammad Dehghanmanshadi
Julien Cohen-Adad
Dorit Merhof
218
53
0
11 Mar 2022
Contextual Attention Network: Transformer Meets U-Net
Contextual Attention Network: Transformer Meets U-Net
Reza Azad
Moein Heidari
Yuli Wu
Dorit Merhof
ViTMedIm
232
110
0
02 Mar 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain,
  Active and Continual Few-Shot Learning
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot LearningSocial Science Research Network (SSRN), 2022
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDLVLM
266
10
0
13 Jan 2022
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson LearningIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
215
19
0
26 Aug 2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Weide Liu
Fangqiu Yi
Henghui Ding
Tzu-Yi Hung
Guosheng Lin
360
61
0
19 Aug 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
252
66
0
07 Jul 2021
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Weakly Supervised Volumetric Image Segmentation with Deformed TemplatesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Udaranga Wickramasinghe
Patrick M. Jensen
Mian Akbar Shah
Jiancheng Yang
Pascal Fua
3DPC
290
7
0
07 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical
  image segmentation
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
Rabindra Khadka
Debesh Jha
Steven Hicks
Vajira Thambawita
Michael A. Riegler
Sharib Ali
Pål Halvorsen
249
65
0
06 Jun 2021
Conditional Deep Convolutional Neural Networks for Improving the
  Automated Screening of Histopathological Images
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
Gianluca Gerard
M. Piastra
OODMedIm
140
2
0
29 May 2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Aniket Pramanik
Xiaodong Wu
M. Jacob
3DV
188
6
0
19 May 2021
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells
  Segmentation in Microscopic Images
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images
Afshin Bozorgpour
Reza Azad
E. Showkatian
Alaa Sulaiman
159
35
0
13 May 2021
Prototypical Region Proposal Networks for Few-Shot Localization and
  Classification
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Elliott Skomski
Aaron Tuor
Andrew Avila
Lauren A. Phillips
Zach New
Henry Kvinge
Court D. Corley
Nathan Oken Hodas
189
0
0
08 Apr 2021
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis
  Media with Effusion Using Machine Learning
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine LearningScientific Reports (Sci Rep), 2021
Emad M. Grais
Xiaoya Wang
Jie Wang
Fei Zhao
Wen Jiang
Yuexin Cai
Lifang Zhang
Qingwen Lin
Haidi Yang
201
26
0
04 Mar 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology PracticeJMIR Medical Informatics (JMIR Med Inform), 2021
V. Kulkarni
M. Gawali
A. Kharat
VLM
281
29
0
03 Feb 2021
Match Them Up: Visually Explainable Few-shot Image Classification
Match Them Up: Visually Explainable Few-shot Image Classification
Bowen Wang
Liangzhi Li
Manisha Verma
Yuta Nakashima
R. Kawasaki
Hajime Nagahara
FAtt
345
33
0
25 Nov 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni
Jarred Barber
Jan-Willem van de Meent
Frank Wood
VLMSSL
646
61
0
17 Jun 2020
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