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A Survey on Active Learning and Human-in-the-Loop Deep Learning for
  Medical Image Analysis
v1v2 (latest)

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

7 October 2019
Samuel Budd
E. C. Robinson
Bernhard Kainz
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis"

50 / 131 papers shown
MyriadAL: Active Few Shot Learning for Histopathology
MyriadAL: Active Few Shot Learning for HistopathologyConference on Algebraic Informatics (CAI), 2023
Nico Schiavone
Jingyi Wang
Shuangzhi Li
Roger J. Zemp
Xingyu Li
285
3
0
24 Oct 2023
Towards contrast-agnostic soft segmentation of the spinal cord
Towards contrast-agnostic soft segmentation of the spinal cord
Sandrine Bédard
E. Karthik
C. Tsagkas
E. Pravatà
Cristina Granziera
Andrew C. Smith
K. A. Weber
Julien Cohen-Adad
193
20
0
23 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
398
72
0
22 Oct 2023
Active Learning Framework for Cost-Effective TCR-Epitope Binding
  Affinity Prediction
Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity PredictionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Pengfei Zhang
Seojin Bang
Heewook Lee
206
3
0
16 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
287
21
0
10 Oct 2023
Expert enhanced dynamic time warping based anomaly detection
Expert enhanced dynamic time warping based anomaly detectionExpert systems with applications (ESWA), 2023
Matej Kloska
Gabriela Grmanová
Viera Rozinajová
135
35
0
02 Oct 2023
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Active Learning for Fine-Grained Sketch-Based Image RetrievalBritish Machine Vision Conference (BMVC), 2023
Himanshu Thakur
Soumitri Chattopadhyay
218
3
0
15 Sep 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG
  Signals: A Comprehensive Review from 2002-2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
M. Jafari
Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
Zhaolin Chen
U. Acharya
Juan M Gorriz
413
32
0
14 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert AnnotationsAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2023
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
288
5
0
05 Sep 2023
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis
  of Dynamic Contrast-enhanced Cardiac MRI Datasets
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI DatasetsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
D. M. Yalcinkaya
Khalid Youssef
Bobak Heydari
Orlando Simonetti
R. Dharmakumar
Subha V. Raman
Behzad Sharif
138
0
0
25 Aug 2023
Test-time augmentation-based active learning and self-training for
  label-efficient segmentation
Test-time augmentation-based active learning and self-training for label-efficient segmentation
Bella Specktor-Fadida
Anna Levchakov
Dana Schonberger
L. Ben‐Sira
D. Ben Bashat
Leo Joskowicz
199
2
0
21 Aug 2023
A data-centric deep learning approach to airway segmentation
A data-centric deep learning approach to airway segmentationJournal of Big Data (J Big Data), 2023
W. K. Cheung
A. Pakzad
N. Mogulkoc
S. Needleman
B. Rangelov
...
S. Janes
Yipeng Hu
Daniel C. Alexander
J. Hurst
Joseph Jacob
214
11
0
29 Jul 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties,
  Definition, Taxonomy, Societal Implications and Responsible Governance
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
I. Triguero
Daniel Molina
Javier Poyatos
Javier Del Ser
Francisco Herrera
AI4TSAI4MH
431
6
0
26 Jul 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in
  Musculoskeletal Segmentation of Lower Extremities
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower ExtremitiesInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2023
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
204
7
0
26 Jul 2023
Learning from Exemplary Explanations
Learning from Exemplary Explanations
Misgina Tsighe Hagos
Kathleen M. Curran
Brian Mac Namee
FAtt
233
1
0
12 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
414
3
0
26 Jun 2023
M-VAAL: Multimodal Variational Adversarial Active Learning for
  Downstream Medical Image Analysis Tasks
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2023
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Danail Stoyanov
Cristian A. Linte
168
2
0
21 Jun 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback
Aligning Synthetic Medical Images with Clinical Knowledge using Human FeedbackNeural Information Processing Systems (NeurIPS), 2023
Shenghuan Sun
Gregory M. Goldgof
A. Butte
Ahmed Alaa
MedIm
209
18
0
16 Jun 2023
Artificial General Intelligence for Medical Imaging
Artificial General Intelligence for Medical ImagingIEEE Reviews in Biomedical Engineering (RBME), 2023
Xiang Li
Lu Zhang
Zihao Wu
Zheng Liu
Lin Zhao
...
Pingkuan Yan
Shijie Zhao
Wen Liu
Tianming Liu
Hongtu Zhu
LM&MAAI4CE
293
57
0
08 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms
Efficient Failure Pattern Identification of Predictive AlgorithmsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Bao Nguyen
Viet Anh Nguyen
206
0
0
01 Jun 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start
  problem for semi-supervised learning
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
Evelyn J. Mannix
H. Bondell
SSL
189
0
0
17 May 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksNeural Information Processing Systems (NeurIPS), 2023
Chongyu Qu
Tiezheng Zhang
Hualin Qiao
Jie Liu
Yucheng Tang
Alan Yuille
Zongwei Zhou
454
63
0
16 May 2023
A Review of Deep Learning for Video Captioning
A Review of Deep Learning for Video CaptioningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Moloud Abdar
Meenakshi Kollati
Swaraja Kuraparthi
Farhad Pourpanah
Daniel J. McDuff
...
Shuicheng Yan
Abduallah A. Mohamed
Abbas Khosravi
Xiaoshi Zhong
Fatih Porikli
3DV
225
38
0
22 Apr 2023
U-Netmer: U-Net meets Transformer for medical image segmentation
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He
Rina Bao
P. E. Grant
Yangming Ou
ViTMedIm
190
18
0
03 Apr 2023
Data Efficient Contrastive Learning in Histopathology using Active
  Sampling
Data Efficient Contrastive Learning in Histopathology using Active SamplingMachine Learning with Applications (MLWA), 2023
Tahsin Reasat
David S. Smith
MedIm
275
1
0
28 Mar 2023
Adaptive Multi-scale Online Likelihood Network for AI-assisted
  Interactive Segmentation
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Muhammad Asad
Helena Williams
Indrajeet Mandal
S. Ather
Jan Deprest
Jan D'hooge
Tom Vercauteren
212
6
0
23 Mar 2023
Active Learning Based Domain Adaptation for Tissue Segmentation of
  Histopathological Images
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological ImagesEuropean Signal Processing Conference (EUSIPCO), 2023
Saul Fuster
Farbod Khoraminia
T. Eftestøl
T. Zuiverloon
K. Engan
68
2
0
09 Mar 2023
Addressing UX Practitioners' Challenges in Designing ML Applications: an
  Interactive Machine Learning Approach
Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning ApproachInternational Conference on Intelligent User Interfaces (IUI), 2023
K. J. Kevin Feng
David W. McDonald
HAI
198
15
0
23 Feb 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
688
17
0
17 Feb 2023
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling,
  Annotation Redundancy Restriction, and Data Initialization
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization
Daniel D. Kim
Rajat S. Chandra
Jianbiao Peng
Jing Wu
Xue Feng
...
Li Yang
A. Kazerooni
A. Nabavizadeh
Harrison X. Bai
Zhicheng Jiao
146
5
0
05 Feb 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
210
36
0
18 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
206
17
0
16 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning
Scalable Batch Acquisition for Deep Bayesian Active LearningSDM (SDM), 2023
Aleksandr Rubashevskii
Daria A. Kotova
Maxim Panov
BDL
239
3
0
13 Jan 2023
Approaching Peak Ground Truth
Approaching Peak Ground TruthIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Florian Kofler
J. Wahle
Ivan Ezhov
S. J. Wagner
Rami Al-Maskari
...
Jan Kirschke
C. Zimmer
Benedikt Wiestler
Bjoern Menze
Marie Piraud
214
13
0
31 Dec 2022
Towards Rapid Prototyping and Comparability in Active Learning for Deep
  Object Detection
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
Tobias Riedlinger
Marius Schubert
Karsten Kahl
Hanno Gottschalk
Matthias Rottmann
VLMObjD
197
3
0
21 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Few-shot Medical Image Segmentation with Cycle-resemblance AttentionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hao Ding
Changchang Sun
Hao Tang
Dawen Cai
Yan Yan
200
68
0
07 Dec 2022
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
Ana Kotarcic
Dominik Hangartner
Fabrizio Gilardi
Selina Kurer
K. Donnay
223
4
0
05 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
170
8
0
03 Dec 2022
Entity Matching by Pool-based Active Learning
Entity Matching by Pool-based Active Learning
Youfang Han
Chunping Li
303
3
0
01 Nov 2022
Meta-Learning Initializations for Interactive Medical Image Registration
Meta-Learning Initializations for Interactive Medical Image RegistrationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Zachary Michael Cieman Baum
Yipeng Hu
D. Barratt
331
17
0
27 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
359
3
0
09 Oct 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are
  Conditional Entropy and Mutual Information Appropriate Measures?
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Lisa Wimmer
Yusuf Sale
Paul Hofman
Bern Bischl
Eyke Hüllermeier
PERUD
352
114
0
07 Sep 2022
Domain Generalization for Prostate Segmentation in Transrectal
  Ultrasound Images: A Multi-center Study
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
Sulaiman Vesal
Iani J. M. B. Gayo
Indrani Bhattacharya
S. Natarajan
Leonard S. Marks
D. Barratt
Richard E. Fan
Yipeng Hu
G. Sonn
M. Rusu
126
7
0
05 Sep 2022
Ensemble uncertainty as a criterion for dataset expansion in distinct
  bone segmentation from upper-body CT images
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
Eva Schnider
Antal Huck
M. Toranelli
G. Rauter
A. Zam
M. Müller-Gerbl
Philippe C. Cattin
165
1
0
19 Aug 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
145
6
0
01 Aug 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
174
2
0
21 Jul 2022
Data-Centric Epidemic Forecasting: A Survey
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
237
23
0
19 Jul 2022
Less Is More: A Comparison of Active Learning Strategies for 3D Medical
  Image Segmentation
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation
Josafat-Mattias Burmeister
M. Rosas
J. Hagemann
Jonas Kordt
J. Blum
Simon Shabo
Benjamin Bergner
I. A. Sinai
177
8
0
02 Jul 2022
Patient Aware Active Learning for Fine-Grained OCT Classification
Patient Aware Active Learning for Fine-Grained OCT ClassificationInternational Conference on Information Photonics (ICIP), 2022
Yash-yee Logan
Ryan Benkert
Ahmad Mustafa
Gukyeong Kwon
Ghassan AlRegib
156
13
0
23 Jun 2022
A Review of Causality for Learning Algorithms in Medical Image Analysis
A Review of Causality for Learning Algorithms in Medical Image AnalysisMachine Learning for Biomedical Imaging (MLBI), 2022
Athanasios Vlontzos
Daniel Rueckert
Bernhard Kainz
OOD
354
22
0
11 Jun 2022
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