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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

7 October 2019
Samuel Budd
E. C. Robinson
Bernhard Kainz
    LM&MA
ArXivPDFHTML

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

50 / 50 papers shown
Title
Safe Uncertainty-Aware Learning of Robotic Suturing
Safe Uncertainty-Aware Learning of Robotic Suturing
Wilbert Peter Empleo
Yitaek Kim
Hansoul Kim
Thiusius Rajeeth Savarimuthu
Iñigo Iturrate
10
0
0
22 May 2025
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent
Pascal Spiegler
Arash Harirpoush
Yiming Xiao
56
0
0
12 May 2025
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal
Kevin Miller
Ekaterina Merkurjev
51
1
0
14 Sep 2024
CALICO: Confident Active Learning with Integrated Calibration
CALICO: Confident Active Learning with Integrated Calibration
L. S. Querol
Hajime Nagahara
Hideaki Hayashi
38
0
0
02 Jul 2024
Federated Active Learning Framework for Efficient Annotation Strategy in
  Skin-lesion Classification
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification
Zhipeng Deng
Yuqiao Yang
Kenji Suzuki
MedIm
FedML
64
1
0
17 Jun 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Qi Liu
Zhuang Yan
Haoyang Bi
Zhenya Huang
Weizhe Huang
...
Z. Pardos
Haiping Ma
Mengxiao Zhu
Shijin Wang
Enhong Chen
AI4Ed
68
9
0
31 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
42
5
0
11 Mar 2024
A Survey on Human-AI Teaming with Large Pre-Trained Models
A Survey on Human-AI Teaming with Large Pre-Trained Models
Vanshika Vats
Marzia Binta Nizam
Minghao Liu
Ziyuan Wang
Richard Ho
...
Celeste Shen
Rachel Shen
Nafisa Hussain
Kesav Ravichandran
James Davis
LM&MA
70
8
0
07 Mar 2024
DeepATLAS: One-Shot Localization for Biomedical Data
DeepATLAS: One-Shot Localization for Biomedical Data
Peter D. Chang
37
0
0
14 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning
Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao
Yibo Jiang
Yuxin Chen
52
1
0
08 Feb 2024
[Citation needed] Data usage and citation practices in medical imaging
  conferences
[Citation needed] Data usage and citation practices in medical imaging conferences
Théo Sourget
Ahmet Akkocc
Stinna Winther
Christine Lyngbye Galsgaard
Amelia Jiménez-Sánchez
Dovile Juodelyte
Caroline Petitjean
Veronika Cheplygina
30
2
0
05 Feb 2024
Foundation Model Makes Clustering A Better Initialization For Cold-Start
  Active Learning
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning
Han Yuan
Chuan Hong
AI4CE
48
0
0
04 Feb 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
23
20
0
12 Dec 2023
Correlation-aware active learning for surgery video segmentation
Correlation-aware active learning for surgery video segmentation
Fei Wu
Pablo Márquez-Neila
Mingyi Zheng
Hedyeh Rafii-Tari
Raphael Sznitman
43
3
0
15 Nov 2023
Expert enhanced dynamic time warping based anomaly detection
Expert enhanced dynamic time warping based anomaly detection
Matej Kloska
Gabriela Grmanová
Viera Rozinajová
39
20
0
02 Oct 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
62
3
0
05 Sep 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 Extremities
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
46
4
0
26 Jul 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun
Gregory M. Goldgof
A. Butte
Ahmed Alaa
MedIm
40
12
0
16 Jun 2023
Data Efficient Contrastive Learning in Histopathology using Active
  Sampling
Data Efficient Contrastive Learning in Histopathology using Active Sampling
Tahsin Reasat
David S. Smith
MedIm
62
0
0
28 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 Approach
K. J. Kevin Feng
David W. McDonald
HAI
36
12
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
48
15
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
26
5
0
05 Feb 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
35
11
0
16 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning
Scalable Batch Acquisition for Deep Bayesian Active Learning
Aleksandr Rubashevskii
Daria A. Kotova
Maxim Panov
BDL
32
3
0
13 Jan 2023
Approaching Peak Ground Truth
Approaching Peak Ground Truth
Florian Kofler
J. Wahle
Ivan Ezhov
S. J. Wagner
Rami Al-Maskari
...
Jan Kirschke
C. Zimmer
Benedikt Wiestler
Bjoern Menze
Marie Piraud
42
9
0
31 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding
Changchang Sun
Hao Tang
Dawen Cai
Yan Yan
46
46
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
34
2
0
05 Dec 2022
Entity Matching by Pool-based Active Learning
Entity Matching by Pool-based Active Learning
Youfang Han
Chunping Li
49
2
0
01 Nov 2022
Meta-Learning Initializations for Interactive Medical Image Registration
Meta-Learning Initializations for Interactive Medical Image Registration
Zachary Michael Cieman Baum
Yipeng Hu
D. Barratt
71
13
0
27 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?
Lisa Wimmer
Yusuf Sale
Paul Hofman
Bern Bischl
Eyke Hüllermeier
PER
UD
49
69
0
07 Sep 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
24
5
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
42
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
44
19
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
28
6
0
02 Jul 2022
Is More Data All You Need? A Causal Exploration
Is More Data All You Need? A Causal Exploration
Athanasios Vlontzos
Hadrien Reynaud
Bernhard Kainz
CML
34
2
0
06 Jun 2022
User Trust on an Explainable AI-based Medical Diagnosis Support System
User Trust on an Explainable AI-based Medical Diagnosis Support System
Yao Rong
N. Castner
Efe Bozkir
Enkelejda Kasneci
31
8
0
26 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
59
28
0
13 Apr 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
45
105
0
25 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
49
121
0
21 Mar 2022
Generating 3D Bio-Printable Patches Using Wound Segmentation and
  Reconstruction to Treat Diabetic Foot Ulcers
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers
H. Chae
Seunghwan Lee
H. Son
Seungjae Han
T. Lim
MedIm
55
3
0
08 Mar 2022
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
52
90
0
14 Oct 2021
Robust Interactive Semantic Segmentation of Pathology Images with
  Minimal User Input
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
Mostafa Jahanifar
Neda Zamani Tajeddin
Navid Alemi Koohbanani
Nasir M. Rajpoot
36
22
0
30 Aug 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
35
86
0
17 Jun 2021
Continual Active Learning for Efficient Adaptation of Machine Learning
  Models to Changing Image Acquisition
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Matthias Perkonigg
J. Hofmanninger
Georg Langs
MedIm
OOD
38
16
0
07 Jun 2021
Deep Learning Body Region Classification of MRI and CT examinations
Deep Learning Body Region Classification of MRI and CT examinations
P. Raffy
J. Pambrun
Ashish Kumar
David Dubois
Jay W. Patti
R. Cairns
Ryan Young
24
8
0
28 Apr 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
45
69
0
07 Jan 2021
Intuitiveness in Active Teaching
Intuitiveness in Active Teaching
Jan Philip Göpfert
Ulrike Kuhl
L. Hindemith
H. Wersing
Barbara Hammer
HAI
35
3
0
25 Dec 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
188
124
0
29 Nov 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
393
10,661
0
19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
299
9,202
0
06 Jun 2015
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