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A Survey on Deep Learning in Medical Image Analysis
v1v2 (latest)

A Survey on Deep Learning in Medical Image Analysis

19 February 2017
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Survey on Deep Learning in Medical Image Analysis"

50 / 1,597 papers shown
Title
Medical Image Analysis using Deep Relational Learning
Medical Image Analysis using Deep Relational Learning
Zhi-Hu Liu
MedIm
64
0
0
28 Mar 2023
Influencer Backdoor Attack on Semantic Segmentation
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan
Jindong Gu
Philip Torr
Hengshuang Zhao
AAML
78
6
0
21 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy
  Labels
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
64
2
0
20 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
68
9
0
18 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing
Liang Wan
Huazhu Fu
Guang Yang
Lei Zhu
MedIm
65
53
0
18 Mar 2023
Exploring contrast generalisation in deep learning-based brain MRI-to-CT
  synthesis
Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis
Lotte Nijskens
Cornelis
C. D. Berg
Joost Verhoeff
M. Maspero
OODMedIm
55
8
0
17 Mar 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image
  Segmentation
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Saikat Roy
Gregor Koehler
Constantin Ulrich
Michael Baumgartner
Jens Petersen
Hyunjin Park
Paul F. Jaeger
Klaus Maier-Hein
ViTMedIm
101
159
0
17 Mar 2023
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput
  Microscopic Images
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images
Xuesheng Bian
Cheng-Yu Wang
Shuting Chen
Weiquan Liu
Senmin Xu
Jin Zhu
Rugang Wang
Zexin Chen
Min Huang
Gang Li
MedImLM&MA
32
1
0
13 Mar 2023
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Qin Liu
Meng Zheng
Benjamin Planche
Zhong Gao
Terrence Chen
Marc Niethammer
Ziyan Wu
120
3
0
11 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
121
37
0
11 Mar 2023
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems
A. Huq
Weiyi Zhang
Xiaolin Hu
AAML
88
3
0
10 Mar 2023
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated
  Medical Image Analysis
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
72
0
0
09 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
  Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
65
18
0
08 Mar 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Chong Fu
Xuhong Zhang
S. Ji
Ting Wang
Peng Lin
Yanghe Feng
Jianwei Yin
AAML
73
11
0
28 Feb 2023
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval
  Augmentation
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
Tom van Sonsbeek
M. Worring
58
14
0
22 Feb 2023
A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
Jin Zhu
Guang Yang
Pietro Lio
ViTMedIm
98
6
0
22 Feb 2023
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics
  and Machine Learning
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning
P. Sommer
Yixing Huang
Christoph Bert
Andreas Maier
Manuel Schmidt
Arnd Dörfler
R. Fietkau
F. Putz
AI4CE
26
1
0
17 Feb 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long
  Horizon Trajectories
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories
Aastha Acharya
Rebecca L. Russell
Nisar R. Ahmed
73
6
0
17 Feb 2023
A Survey of Feature detection methods for localisation of plain sections
  of Axial Brain Magnetic Resonance Imaging
A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging
Jiri Martinu
Jan Novotný
K. Adámek
P. Čermák
J. Kozel
D. Školoudík
OOD
24
2
0
08 Feb 2023
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology
  Segmentation
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation
Wangbin Ding
Lei Li
Junyi Qiu
Sihan Wang
Liqin Huang
Yinyin Chen
Shan Yang
Xiahai Zhuang
75
8
0
07 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
116
7
0
07 Feb 2023
Climate Intervention Analysis using AI Model Guided by Statistical
  Physics Principles
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
S. K. Kim
Kalai Ramea
Salva Rühling Cachay
H. Hirasawa
Subhashis Hazarika
D. Hingmire
Peetak Mitra
P. Rasch
Hansi K. A. Singh
AI4CE
56
0
0
07 Feb 2023
Transfer Learning and Class Decomposition for Detecting the Cognitive
  Decline of Alzheimer Disease
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
Maha M Alwuthaynani
Zahraa S Abdallah
Raúl Santos-Rodríguez
29
2
0
31 Jan 2023
Parkinson gait modelling from an anomaly deep representation
Parkinson gait modelling from an anomaly deep representation
Edgar Rangel
F. Martínez
33
4
0
26 Jan 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient
  Private Inference
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
Souvik Kundu
Shun Lu
Yuke Zhang
Jacqueline Liu
Peter A. Beerel
40
29
0
23 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based
  psychiatric research
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
89
44
0
20 Jan 2023
Safety Verification of Neural Network Control Systems Using Guaranteed
  Neural Network Model Reduction
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction
Weiming Xiang
Zhongzhu Shao
52
3
0
17 Jan 2023
Explicit Temporal Embedding in Deep Generative Latent Models for
  Longitudinal Medical Image Synthesis
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Julian Schon
Raghavendra Selvan
Lotte Nygaard
I. Vogelius
Jens Petersen
MedIm
127
4
0
13 Jan 2023
LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound
  Landmark Tracking
LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking
Zhihua Liu
B. Yang
Yan Shen
Xuejun Ni
Huiyu Zhou
MedIm
73
0
0
11 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise
Learning Confident Classifiers in the Presence of Label Noise
Asma Ahmed Hashmi
Aigerim Zhumabayeva
Nikita Kotelevskii
A. Agafonov
Mohammad Yaqub
Maxim Panov
Martin Takávc
NoLa
180
2
0
02 Jan 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
123
3
0
01 Jan 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label
  Learning
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
Fengbei Liu
Yuanhong Chen
Chong Wang
Yu-Ching Tain
G. Carneiro
NoLa
98
0
0
01 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
230
99
0
31 Dec 2022
Domain-specific transfer learning in the automated scoring of
  tumor-stroma ratio from histopathological images of colorectal cancer
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
Liisa Petäinen
J. Väyrynen
Pekka Ruusuvuori
I. Pölönen
S. Äyrämö
Teijo Kuopio
23
2
0
30 Dec 2022
Explainable and Lightweight Model for COVID-19 Detection Using Chest
  Radiology Images
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images
S. Suba
N. Parekh
MedIm
64
0
0
28 Dec 2022
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
Gustavo de Rosa
Mateus Roder
João Paulo Papa
C. F. G. Santos
48
2
0
19 Dec 2022
A Survey on Password Guessing
A Survey on Password Guessing
Lam C. Tran
Thuc Nguyen
Changho Seo
Hyunil Kim
Deokjai Choi
54
1
0
17 Dec 2022
Two-stage Contextual Transformer-based Convolutional Neural Network for
  Airway Extraction from CT Images
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Yanan Wu
Shuiqing Zhao
Shouliang Qi
Jie Feng
H. Pang
...
Long Bai
Meng-Yi Li
Shuyue Xia
W. Qian
Hongliang Ren
ViTMedIm
81
26
0
15 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCVOODBDL
50
34
0
14 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification
Adversarial Attacks and Defences for Skin Cancer Classification
Vinay Jogani
J. Purohit
Ishaan Shivhare
Samina Attari
S. Shrawne
AAMLMedIm
57
2
0
13 Dec 2022
Mixed Supervision of Histopathology Improves Prostate Cancer
  Classification from MRI
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
Abhejit Rajagopal
A. Westphalen
Nathan Velarde
Tim Ullrich
J. Simko
Hao Nguyen
T. Hope
P. Larson
Kirti Magudia
67
4
0
13 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker
  Activation Map
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map
P. Zang
T. Hormel
Jie Wang
Yukun Guo
Steven T. Bailey
C. Flaxel
David Huang
T. Hwang
Yali Jia
MedIm
73
8
0
13 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality
  Microscopy
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy
Gihun Lee
Sangmook Kim
Joonkee Kim
Se-Young Yun
MedIm
63
20
0
07 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Mingyuan Fan
Cen Chen
Chengyu Wang
Ximeng Liu
Wenmeng Zhou
AAMLFedML
118
0
0
05 Dec 2022
An Empirical Study of Library Usage and Dependency in Deep Learning
  Frameworks
An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks
Mohamed Raed El aoun
L. Tidjon
Ben Rombaut
Foutse Khomh
Ahmed E. Hassan
37
7
0
28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaMLAI4TS
71
6
0
27 Nov 2022
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning
Al-Akhir Nayan
B. Kijsirikul
Y. Iwahori
42
10
0
24 Nov 2022
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical
  Image Segmentation
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation
Shishuai Hu
Zehui Liao
Yong-quan Xia
OODMedIm
95
22
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convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2
  Breast Cancer
convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
M. F. Mridha
Md. Kishor Morol
Md. Asraf Ali
Md Sakib Hossain Shovon
52
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Deep learning for table detection and structure recognition: A survey
Deep learning for table detection and structure recognition: A survey
M. Kasem
Abdelrahman Abdallah
Alexander Berendeyev
Ebrahem Elkady
Mahmoud Abdalla
Mohamed Mahmoud
Mohamed Hamada
D. Nurseitov
I. Taj-Eddin
LMTD
95
27
0
15 Nov 2022
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