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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
Aleatoric uncertainty for Errors-in-Variables models in deep regression
Aleatoric uncertainty for Errors-in-Variables models in deep regression
J. Martin
Clemens Elster
UQCVUDBDL
79
9
0
19 May 2021
Dermoscopic Image Classification with Neural Style Transfer
Dermoscopic Image Classification with Neural Style Transfer
J. Y. Li
Ruoqing Zhu
Annie Qu
Mike Yeh
MedIm
46
2
0
17 May 2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image
  Segmentation
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava
Debesh Jha
S. Chanda
Umapada Pal
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Sharib Ali
Pål Halvorsen
102
209
0
16 May 2021
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of
  COVID-19 via CT Images
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images
Jun Shi
Huite Yi
Shulan Ruan
Zhaohui Wang
Xiaoyu Hao
Hong An
Wei Wei
64
3
0
14 May 2021
Unsupervised Representation Learning from Pathology Images with
  Multi-directional Contrastive Predictive Coding
Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding
Jacob Carse
F. Carey
S. McKenna
SSLMedIm
72
9
0
11 May 2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar
  Segmentation on Computed Tomography and Application to Diseased Lungs
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
M. Martell
Mitchell Chen
K. Linton-Reid
J. Posma
S. Copley
E. Aboagye
38
3
0
11 May 2021
Segmentation of Anatomical Layers and Artifacts in Intravascular
  Polarization Sensitive Optical Coherence Tomography Using Attending Physician
  and Boundary Cardinality Losses
Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Losses
Mohammad Haft-Javaherian
M. Villiger
K. Otsuka
J. Daemen
P. Libby
Polina Golland
B. Bouma
32
2
0
11 May 2021
Weakly supervised pan-cancer segmentation tool
Weakly supervised pan-cancer segmentation tool
Marvin Lerousseau
Marion Classe
Enzo Battistella
Théo Estienne
T. Henry
...
R. Sun
Maria Vakalopoulou
J. Scoazec
Eric Deutsch
Nikos Paragios
47
7
0
10 May 2021
DiagSet: a dataset for prostate cancer histopathological image
  classification
DiagSet: a dataset for prostate cancer histopathological image classification
Michał Koziarski
B. Cyganek
Przemysław Niedziela
B. Olborski
Z. Antosz
...
B. Kwolek
P. Wąsowicz
Andrzej Bukala
J. Swadźba
Piotr Sitkowski
42
28
0
09 May 2021
Blockchain Systems, Technologies and Applications: A Methodology
  Perspective
Blockchain Systems, Technologies and Applications: A Methodology Perspective
Bin Cao
Zixin Wang
Long Zhang
Daquan Feng
M. Peng
Lei Zhang
65
62
0
08 May 2021
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd
Kevin W. Bowyer
A. Czajka
AAML
82
26
0
07 May 2021
Deep Learning based Multi-modal Computing with Feature Disentanglement
  for MRI Image Synthesis
Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis
Yuchen Fei
Bo Zhan
Mei Hong
Xi Wu
Jiliu Zhou
Yan Wang
MedIm
68
24
0
06 May 2021
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance
  Learning for Whole Slide Image Classification
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
Marvin Lerousseau
Maria Vakalopoulou
Eric Deutsch
Nikos Paragios
66
20
0
06 May 2021
Beyond pixel-wise supervision for segmentation: A few global shape
  descriptors might be surprisingly good!
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
H. Kervadec
Houda Bahig
L. Létourneau-Guillon
Jose Dolz
Ismail Ben Ayed
166
14
0
03 May 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
34
5
0
01 May 2021
Applying physics-based loss functions to neural networks for improved
  generalizability in mechanics problems
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
Samuel J. Raymond
David B. Camarillo
PINNAI4CE
116
12
0
30 Apr 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
E. Jun
Seungwoo Jeong
Da-Woon Heo
Heung-Il Suk
ViTMedIm
99
43
0
28 Apr 2021
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning
  from Noisy Annotations
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri
Lia Morra
Leonardo Mangia
Fabrizio Lamberti
25
6
0
25 Apr 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from
  Medical Images Using Deep Learning
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Xiangde Luo
Guotai Wang
Tao Song
Jingyang Zhang
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
Shaoting Zhang
117
98
0
25 Apr 2021
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel
  Logits
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
Bodhisatwa Mandal
Swarnendu Ghosh
Teresa Gonçalves
P. Quaresma
M. Nasipuri
N. Das
FAtt
33
0
0
23 Apr 2021
Colonoscopy Polyp Detection and Classification: Dataset Creation and
  Comparative Evaluations
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Kaidong Li
M. I. Fathan
Krushi Patel
Tianxiao Zhang
Cuncong Zhong
A. Bansal
A. Rastogi
Jean S. Wang
Guanghui Wang
181
101
0
22 Apr 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
183
289
0
20 Apr 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation
  Losses
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
87
20
0
18 Apr 2021
COVID-19 Modeling: A Review
COVID-19 Modeling: A Review
LongBing Cao
Qing Liu
96
46
0
16 Apr 2021
Intelligent Monitoring of Stress Induced by Water Deficiency in Plants
  using Deep Learning
Intelligent Monitoring of Stress Induced by Water Deficiency in Plants using Deep Learning
S. Azimi
Rohan Wadhawan
Tapan K. Gandhi
42
26
0
16 Apr 2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient
  Retrieval of Diagnostically Relevant Regions
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Yushan Zheng
Zhi-guo Jiang
Haopeng Zhang
Feng-ying Xie
Jun Shi
Chenghai Xue
33
4
0
16 Apr 2021
Two layer Ensemble of Deep Learning Models for Medical Image
  Segmentation
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation
Truong Dang
T. Nguyen
John Mccall
Eyad Elyan
Carlos Francisco Moreno-García
SSeg
27
27
0
10 Apr 2021
Stable deep neural network architectures for mitochondria segmentation
  on electron microscopy volumes
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
Daniel Franco-Barranco
A. Muñoz-Barrutia
Ignacio Arganda-Carreras
40
25
0
08 Apr 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray
  Images
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
81
12
0
07 Apr 2021
Soft-Label Anonymous Gastric X-ray Image Distillation
Soft-Label Anonymous Gastric X-ray Image Distillation
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
157
55
0
07 Apr 2021
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
R. Solovyev
Alexandr A Kalinin
Tatiana Gabruseva
MedIm
74
57
0
04 Apr 2021
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution
  ConvNets
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets
Chao Chen
Catalina Raymond
Bill Speier
Xinyu Jin
T. Cloughesy
D. Enzmann
B. Ellingson
C. Arnold
MedIm
63
40
0
04 Apr 2021
Assessing the Role of Random Forests in Medical Image Segmentation
Assessing the Role of Random Forests in Medical Image Segmentation
D. Hartmann
Dominik Muller
Iñaki Soto Rey
Frank Kramer
MedIm
23
5
0
30 Mar 2021
Automatic airway segmentation from Computed Tomography using robust and
  efficient 3-D convolutional neural networks
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
Antonio Garcia-Uceda Juarez
R. Selvan
Z. Saghir
H. Tiddens
M. de Bruijne
3DV
64
48
0
30 Mar 2021
Deep Learning and Machine Vision for Food Processing: A Survey
Deep Learning and Machine Vision for Food Processing: A Survey
Lili Zhu
P. Spachos
E. Pensini
Konstantinos Plataniotis
FaML
82
216
0
30 Mar 2021
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical
  Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Teofilo E. Zosa
OOD
48
0
0
27 Mar 2021
Multi-Disease Detection in Retinal Imaging based on Ensembling
  Heterogeneous Deep Learning Models
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
Dominik Muller
Iñaki Soto Rey
Frank Kramer
36
19
0
26 Mar 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing
  toward digital twin revolution
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San
Adil Rasheed
T. Kvamsdal
91
54
0
26 Mar 2021
MedSelect: Selective Labeling for Medical Image Classification Combining
  Meta-Learning with Deep Reinforcement Learning
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
Akshay Smit
Damir Vrabac
Yujie He
A. Ng
Andrew L. Beam
Pranav Rajpurkar
49
7
0
26 Mar 2021
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver
  Segmentation
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
Muhammad Islam
Kaleem Nawaz Khan
Muhammad Salman Khan
37
11
0
26 Mar 2021
Marine Snow Removal Benchmarking Dataset
Marine Snow Removal Benchmarking Dataset
Reina Kaneko
Yuya Sato
T. Ueda
Hiroshi Higashi
Yuichi Tanaka
68
10
0
26 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation
Yi Sun
Abel N. Valente
Sijia Liu
Dakuo Wang
AAML
71
7
0
25 Mar 2021
Explainability Guided Multi-Site COVID-19 CT Classification
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali
Tal Shaharabany
Lior Wolf
85
4
0
25 Mar 2021
Contextual Information Enhanced Convolutional Neural Networks for
  Retinal Vessel Segmentation in Color Fundus Images
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images
Muyi Sun
Guanhong Zhang
68
17
0
25 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and
  Semi-Supervised Learning
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
Ragav Sachdeva
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
112
34
0
21 Mar 2021
GLOWin: A Flow-based Invertible Generative Framework for Learning
  Disentangled Feature Representations in Medical Images
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
Aadhithya Sankar
Matthias Keicher
R. Eisawy
Abhijeet Parida
Franz MJ Pfister
Seong Tae Kim
Nassir Navab
OODDRLMedIm
74
8
0
19 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAMLFaMLXAIHAI
82
344
0
19 Mar 2021
Fourier Transform of Percoll Gradients Boosts CNN Classification of
  Hereditary Hemolytic Anemias
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
Ario Sadafi
Lucía María Moya Sans
A. Makhro
L. Livshits
Nassir Navab
A. Bogdanova
Shadi Albarqouni
Carsten Marr
MedIm
33
3
0
17 Mar 2021
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical
  Images
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images
Dominik Drees
Florian Eilers
Xiaoyi Jiang
3DV
27
4
0
17 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
126
330
0
15 Mar 2021
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