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

50 / 1,597 papers shown
Title
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology
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HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Aakash Tripathi
Asim Waqas
Yasin Yilmaz
Ghulam Rasool
100
5
0
13 May 2024
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical
  Image Segmentation
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
Suruchi Kumari
Pravendra Singh
74
1
0
12 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards
  Biomedical Healthcare
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CEMedImLM&MA
116
12
0
10 May 2024
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI
  and CT Sequences
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences
Hartmut Häntze
Lina Xu
Felix J. Dorfner
Leonhard Donle
Daniel Truhn
...
Mathias Prokop
Bram van Ginneken
Alessa Hering
Lisa Christine Adams
Keno K. Bressem
104
1
0
10 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
R. Mattey
Susanta Ghosh
AI4CE
88
1
0
09 May 2024
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical
  Image Segmentation
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation
Jiashu Xu
Mamba
90
11
0
08 May 2024
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Keqiang Fan
Xiaohao Cai
M. Niranjan
MedImDiffM
113
2
0
08 May 2024
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase
  Images in CT Urography
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography
Syed Jamal Safdar Gardezi
Lucas Aronson
Peter Wawrzyn
Hongkun Yu
E. J. Abel
...
Joshua Warner
G. Toia
Lu Mao
Pallavi Tiwari
Andrew L. Wentland
MedIm
81
0
0
07 May 2024
Out-of-distribution detection based on subspace projection of
  high-dimensional features output by the last convolutional layer
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
86
1
0
02 May 2024
Artificial Intelligence in Bone Metastasis Analysis: Current
  Advancements, Opportunities and Challenges
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges
Marwa Afnouch
F. Bougourzi
Olfa Gaddour
Fadi Dornaika
Abdelmalik Taleb-Ahmed
64
1
0
30 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
85
0
0
22 Apr 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance
  Propagation
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation
Paulo Yanez Sarmiento
Simon Witzke
Nadja Klein
Bernhard Y. Renard
FAttAAML
83
0
0
22 Apr 2024
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From
  Traditional Models to Foundation Models
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Yuyan Shi
Jialu Ma
Jin Yang
Shasha Wang
Yichi Zhang
MedImVLM
77
2
0
20 Apr 2024
MedThink: Explaining Medical Visual Question Answering via Multimodal
  Decision-Making Rationale
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale
Xiaotang Gai
Chenyi Zhou
Jiaxiang Liu
Yang Feng
Jian Wu
Zuo-Qiang Liu
MedIm
99
6
0
18 Apr 2024
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease With Enhanced Uncertainty Estimation
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease With Enhanced Uncertainty Estimation
Walid Abdullah Al
Il Dong Yun
Yun Jung Bae
98
0
0
18 Apr 2024
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image
  Recognition
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Hao Feng
Yuanzhe Jia
Ruijia Xu
Mukesh Prasad
Ali Anaissi
Ali Braytee
47
3
0
16 Apr 2024
Black-box Adversarial Transferability: An Empirical Study in
  Cybersecurity Perspective
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
Khushnaseeb Roshan
Aasim Zafar
AAML
63
7
0
15 Apr 2024
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical
  Image Classification
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification
Zhenwei Wang
Qiule Sun
Bingbing Zhang
Pengfei Wang
Jianxin Zhang
Qiang Zhang
VLM
92
1
0
13 Apr 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from
  X-ray Expert Models
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Weiwei Cao
Jianpeng Zhang
Yingda Xia
Tony C. W. Mok
Zi Li
X. Ye
Le Lu
Jian Zheng
Yuxing Tang
Ling Zhang
63
4
0
07 Apr 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical
  imaging
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
Iury B. de A. Santos
André C.P.L.F. de Carvalho
MedIm
69
1
0
06 Apr 2024
How Much Data are Enough? Investigating Dataset Requirements for
  Patch-Based Brain MRI Segmentation Tasks
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
Dongang Wang
Peilin Liu
Hengrui Wang
H. Beadnall
K. Kyle
...
Tom Weidong Cai
Wanli Ouyang
Fernando Calamante
Michael Barnett
Chenyu Wang
68
2
0
04 Apr 2024
Contextual Embedding Learning to Enhance 2D Networks for Volumetric
  Image Segmentation
Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation
Zhuoyuan Wang
Dongming Sun
Xiangyun Zeng
Ruodai Wu
Yi Wang
85
1
0
02 Apr 2024
Attention-based Shape-Deformation Networks for Artifact-Free Geometry
  Reconstruction of Lumbar Spine from MR Images
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
Linchen Qian
Jiasong Chen
Linhai Ma
Timur Urakov
Weiyong Gu
Liang Liang
MedIm
98
0
0
30 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
Rahul G. Krishnan
Gabriel Loaiza-Ganem
OODD
101
12
0
27 Mar 2024
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node
  Segmentation
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
Yongrui Yu
Hanyu Chen
Zitian Zhang
Qiong Xiao
Wenhui Lei
...
Yu Fu
Hui Tan
Guan Wang
Peng Gao
Xiaofan Zhang
DiffMMedIm
92
6
0
26 Mar 2024
DeepKnowledge: Generalisation-Driven Deep Learning Testing
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S. Missaoui
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Nikolaos Matragkas
78
1
0
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DeepGleason: a System for Automated Gleason Grading of Prostate Cancer
  using Deep Neural Networks
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
Dominik Müller
Philip Meyer
Lukas Rentschler
Robin Manz
Jonas Bäcker
...
Christoph Wengenmayr
Bruno Märkl
Ralf Huss
Iñaki Soto Rey
Johannes Raffler
96
4
0
25 Mar 2024
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented
  Imaging Planes
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes
Tianwei Zhang
Dong Wei
Mengmeng Zhua
Shi Gu
Yefeng Zheng
SSL
67
0
0
25 Mar 2024
MEDDAP: Medical Dataset Enhancement via Diversified Augmentation
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MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
Yasamin Medghalchi
N. Zakariaei
Arman Rahmim
Ilker Hacihaliloglu
MedIm
65
2
0
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Towards Large-Scale Training of Pathology Foundation Models
Towards Large-Scale Training of Pathology Foundation Models
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
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89
12
0
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CathFlow: Self-Supervised Segmentation of Catheters in Interventional
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CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
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Liming Kuang
Yordanka Velikova
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F. R. Y. Baena
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81
1
0
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Robustness Verifcation in Neural Networks
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74
0
0
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Regularizing CNNs using Confusion Penalty Based Label Smoothing for
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Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
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113
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N. Parikh
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129
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Equipping Computational Pathology Systems with Artifact Processing
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Umay Kiraz
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Songhao Han
Shaofei Huang
Yue Liao
Guanbin Li
Xiangxing Kong
Hua Zhu
Xiaomu Wang
Si Liu
MedIm
74
4
0
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Self and Mixed Supervision to Improve Training Labels for Multi-Class
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Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
Jianfei Liu
Christopher Parnell
Ronald M. Summers
83
1
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Artificial Intelligence and Diabetes Mellitus: An Inside Look Through
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Majid Mirzaei
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M. Abdollahi
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Siamak Pedrammehr
R. Alizadehsani
R. Tan
Sheikh Mohammad Shariful Islam
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MedContext: Learning Contextual Cues for Efficient Volumetric Medical
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Fahad Khan
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A Comprehensive Survey of Convolutions in Deep Learning: Applications,
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K. Zou
Zhihao Chen
Yuchong Gao
Hongbo Chen
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Yong-Jin Liu
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OOD
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Predictive Uncertainty Quantification via Risk Decompositions for
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Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and
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