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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

17 April 2018
V. Cheplygina
Marleen de Bruijne
J. Pluim
ArXivPDFHTML

Papers citing "Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis"

50 / 84 papers shown
Title
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
Chuyu Zhao
Hao Huang
Jiashuo Guo
Ziyu Shen
Zhongwei Zhou
Jie Liu
Zekuan Yu
45
0
0
06 May 2025
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
45
0
0
02 May 2025
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Linhao Qu
Shiman Li
Xiaoyuan Luo
Shaolei Liu
Qinhao Guo
Manning Wang
Zhijian Song
39
0
0
16 Apr 2025
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
Junehyoung Kwon
Mihyeon Kim
Eunju Lee
Juhwan Choi
Youngbin Kim
53
0
0
18 Mar 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Yuting He
Boyu Wang
Rongjun Ge
Yang Chen
Guanyu Yang
Shuo Li
MedIm
AAML
64
2
0
07 Feb 2025
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models
Fatima Haimour
Rizik Al-Sayyed
W. Mahafza
Omar Sultan Al-Kadi
DiffM
MedIm
32
1
0
21 Jan 2025
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot
  Nuclei Detection via Visual-Language Pre-trained Models
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Yongjian Wu
Yang Zhou
Jiya Saiyin
Bingzheng Wei
M. Lai
Jianzhong Shou
Yan Xu
VLM
MedIm
25
1
0
22 Oct 2024
Imaging foundation model for universal enhancement of non-ideal measurement CT
Imaging foundation model for universal enhancement of non-ideal measurement CT
Yuxin Liu
Rongjun Ge
Yuting He
Zhan Wu
Chenyu You
Yuan Gao
Chenyu You
Ge Wang
Yang Chen
Shuo Li
MedIm
21
2
0
02 Oct 2024
Snuffy: Efficient Whole Slide Image Classifier
Snuffy: Efficient Whole Slide Image Classifier
Hossein Jafarinia
Alireza Alipanah
Danial Hamdi
Saeed Razavi
Nahal Mirzaie
M. Rohban
3DH
40
1
0
15 Aug 2024
Semi-supervised Concept Bottleneck Models
Semi-supervised Concept Bottleneck Models
Lijie Hu
Tianhao Huang
Huanyi Xie
Chenyang Ren
Zhengyu Hu
Lu Yu
Lu Yu
Ping Ma
Di Wang
49
4
0
27 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image
  Analysis
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
29
4
0
30 May 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for
  Semi-supervised Medical Image Segmentation
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Heng Zhou
Xiaoran Shi
Ran Ran
Chunna Tian
Feng Zhou
21
6
0
10 Apr 2024
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated
  MR Images
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Michael Götz
C. Weber
F. Binczyk
Joanna Polańska
R. Tarnawski
B. Bobek-Billewicz
Ullrich Kothe
Jens Kleesiek
B. Stieltjes
Klaus H. Maier-Hein
134
82
0
12 Mar 2024
Medical Image Classification Using Transfer Learning and Chaos Game
  Optimization on the Internet of Medical Things
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk
Abdelghani Dahou
M. A. Abd Elaziz
R. D. Díaz Redondo
Mohammed Kayed
19
19
0
12 Dec 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
31
3
0
20 Nov 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep
  Models for X-ray Images of Multiple Body Parts
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Weibin Liao
Haoyi Xiong
Qingzhong Wang
Yan Mo
Xuhong Li
Yi Liu
Zeyu Chen
Siyu Huang
Dejing Dou
CLL
9
22
0
03 Oct 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
26
4
0
26 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Cathrine Damgaard
Trine Eriksen
Dovile Juodelyte
V. Cheplygina
Amelia Jiménez-Sánchez
37
3
0
05 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
28
17
0
15 Aug 2023
Is attention all you need in medical image analysis? A review
Is attention all you need in medical image analysis? A review
G. Papanastasiou
Nikolaos Dikaios
Jiahao Huang
Chengjia Wang
Guang Yang
ViT
MedIm
23
23
0
24 Jul 2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT
  Intracranial Hemorrhage Detection
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Yunan Wu
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Rafael Molina
Aggelos K. Katsaggelos
27
2
0
18 Jul 2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient
  Network
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
K. Yan
Xiaoli Yin
Yingda Xia
Fakai Wang
Shu Wang
...
Xiaoyu Bai
Jingren Zhou
Ling Zhang
Le Lu
Yu Shi
MedIm
32
5
0
17 Jul 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set
  Pathology Image Classification
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
Linhao Qu
Yingfan Ma
Zhiwei Yang
Manning Wang
Zhijian Song
VLM
LM&MA
33
8
0
11 Jul 2023
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
19
18
0
05 Jul 2023
Exploring Self-Supervised Representation Learning For Low-Resource
  Medical Image Analysis
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
28
1
0
03 Mar 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
21
27
0
10 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
27
6
0
07 Feb 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical
  Development Patterns of Preterm Infants
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
Chen Xue
Fan Wang
Yuanzhuo Zhu
Hui Li
Deyu Meng
Dinggang Shen
C. Lian
44
2
0
01 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
23
18
0
23 Dec 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Jacopo Teneggi
P. Yi
Jeremias Sulam
22
3
0
29 Nov 2022
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia
  Recognition
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition
Mengjiao Hu
Xudong Jiang
K. Sim
J. Zhou
Cuntai Guan
18
0
0
21 Nov 2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection
  Segmentation in Chest CT Volume for COVID-19
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Liansheng Wang
Jiacheng Wang
Lei Zhu
H. Fu
Ping Li
Gary Cheng
Zhipeng Feng
Shuo Li
Pheng-Ann Heng
28
23
0
10 Nov 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide
  Image Classification
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Linhao Qu
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
WSOD
26
57
0
07 Oct 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
17
5
0
01 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
21
151
0
28 Jul 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide
  Image Classification
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
Linhao Qu
Xiao-Zhuo Luo
Shaolei Liu
Manning Wang
Zhijian Song
VLM
25
53
0
17 Jun 2022
A robust and lightweight deep attention multiple instance learning
  algorithm for predicting genetic alterations
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Bangwei Guo
Xingyu Li
Miao Yang
Hong Zhang
Xuesong Xu
MedIm
11
8
0
31 May 2022
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Guillem Pascual
Pablo Laiz
A. García
Hagen Wenzek
Jordi Vitrià
Santi Seguí
22
11
0
20 Apr 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic
  Segmentation for Lung Adenocarcinoma
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Chu Han
Xipeng Pan
Lixu Yan
Huan Lin
Bingbing Li
...
Chengda Lu
Xin Chen
C. Liang
Qingling Zhang
Zaiyi Liu
31
26
0
13 Apr 2022
Learning to segment fetal brain tissue from noisy annotations
Learning to segment fetal brain tissue from noisy annotations
Davood Karimi
C. Rollins
C. Velasco-Annis
Abdelhakim Ouaalam
Ali Gholipour
18
25
0
25 Mar 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
17
44
0
23 Mar 2022
Augmentation based unsupervised domain adaptation
Augmentation based unsupervised domain adaptation
Mauricio Orbes-Arteaga
Thomas Varsavsky
Lauge Sørensen
Mads Nielsen
A. Pai
Sebastien Ourselin
Marc Modat
Jorge Cardoso
OOD
19
3
0
23 Feb 2022
Oral cancer detection and interpretation: Deep multiple instance
  learning versus conventional deep single instance learning
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
N. Koriakina
Natavsa Sladoje
Vladimir Bavsić
Joakim Lindblad
6
4
0
03 Feb 2022
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
20
56
0
05 Dec 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
25
8
0
26 Aug 2021
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for
  Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature
  Densities
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
Armaghan Moemeni
OOD
28
24
0
17 Aug 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
126
65
0
06 Aug 2021
Weakly Supervised Attention Model for RV StrainClassification from
  volumetric CTPA Scans
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
Noa Cahan
E. Marom
S. Soffer
Y. Barash
Eli Konen
Eyal Klang
H. Greenspan
29
8
0
26 Jul 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification
  in a Local Clinic of Costa Rica
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
Saul Calderon-Ramirez
Diego Murillo-Hernandez
Kevin Rojas-Salazar
David Elizondo
Shengxiang-Yang
Miguel A. Molina-Cabello
12
14
0
24 Jul 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
32
41
0
07 Jul 2021
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