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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 / 1,708 papers shown
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and
  Regression-Voting
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-VotingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Runnan Chen
Yuexin Ma
Nenglun Chen
Daniel Lee
Wenping Wang
123
97
0
23 Aug 2019
Feature Learning to Automatically Assess Radiographic Knee
  Osteoarthritis Severity
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis SeverityIntelligent Systems Reference Library (ISRL), 2019
Joseph Antony
Kevin McGuinness
Kieran Moran
Noel E. O'Connor
184
8
0
23 Aug 2019
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI:
  A Tutorial
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
T. Pianpanit
Sermkiat Lolak
Phattarapong Sawangjai
Ekapol Chuangsuwanich
Theerawit Wilaiprasitporn
204
3
0
23 Aug 2019
Optimal input configuration of dynamic contrast enhanced MRI in
  convolutional neural networks for liver segmentation
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
M. J. Jansen
Hugo J. Kuijf
J. Pluim
111
3
0
22 Aug 2019
Dataset Growth in Medical Image Analysis Research
Dataset Growth in Medical Image Analysis ResearchJournal of Imaging (J. Imaging), 2019
Y. Landau
N. Kiryati
OOD
127
42
0
21 Aug 2019
A unified representation network for segmentation with missing
  modalities
A unified representation network for segmentation with missing modalities
Kenneth Lau
J. Adler
Jens Sjölund
94
28
0
19 Aug 2019
Discretely-constrained deep network for weakly supervised segmentation
Discretely-constrained deep network for weakly supervised segmentationNeural Networks (NN), 2019
Jizong Peng
H. Kervadec
Jose Dolz
Ismail Ben Ayed
M. Pedersoli
Christian Desrosiers
158
33
0
15 Aug 2019
A deep learning model for segmentation of geographic atrophy to study
  its long-term natural history
A deep learning model for segmentation of geographic atrophy to study its long-term natural historyOphthalmology (Rochester, Minn.) (ORM), 2019
B. Liefers
J. Colijn
C. González-Gonzalo
T. Verzijden
P. Mitchell
C. Hoyng
Bram van Ginneken
C. Klaver
C. I. Sánchez
105
60
0
15 Aug 2019
Resolving challenges in deep learning-based analyses of
  histopathological images using explanation methods
Resolving challenges in deep learning-based analyses of histopathological images using explanation methodsScientific Reports (Sci Rep), 2019
Miriam Hagele
P. Seegerer
Sebastian Lapuschkin
M. Bockmayr
Wojciech Samek
Frederick Klauschen
K. Müller
Alexander Binder
261
175
0
15 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation ProblemsFrontiers in Neuroscience (Front. Neurosci.), 2019
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
249
19
0
15 Aug 2019
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac
  CT Angiography
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
J. Wolterink
T. Leiner
Ivana Išgum
128
64
0
14 Aug 2019
Automatic detection and diagnosis of sacroiliitis in CT scans as
  incidental findings
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
Yigal Shenkman
Bilal Qutteineh
Leo Joskowicz
Adi Szeskin
Y. Azraq
Arnaldo Mayer
I. Eshed
60
26
0
14 Aug 2019
A Research Framework for Virtual Reality Neurosurgery Based on
  Open-Source Tools
A Research Framework for Virtual Reality Neurosurgery Based on Open-Source ToolsIEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2019
L. Fiederer
Hisham Alwanni
M. Völker
O. Schnell
J. Beck
T. Ball
100
5
0
14 Aug 2019
Generalizing Deep Whole Brain Segmentation for Pediatric and
  Post-Contrast MRI with Augmented Transfer Learning
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning
Camilo Bermudez
J. Blaber
Samuel W. Remedios
Jess E. Reynolds
C. Lebel
M. McHugo
S. Heckers
Yuankai Huo
Bennett A. Landman
122
8
0
13 Aug 2019
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in
  Cytology Slides
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology SlidesScientific Reports (Sci Rep), 2019
Christian Marzahl
Marc Aubreville
C. Bertram
J. Stayt
A. Jasensky
...
Prathmesh Madhu
J. Voigt
Jenny Hill
R. Klopfleisch
Andreas Maier
140
49
0
12 Aug 2019
Constrained domain adaptation for Image segmentation
Constrained domain adaptation for Image segmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
M. Bateson
Jose Dolz
H. Kervadec
H. Lombaert
Ismail Ben Ayed
GAN
222
25
0
08 Aug 2019
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional
  Networks
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
G. N. Gunesli
C. Sokmensuer
Cigdem Demir
80
1
0
06 Aug 2019
Learning Cross-Modal Deep Representations for Multi-Modal MR Image
  Segmentation
Learning Cross-Modal Deep Representations for Multi-Modal MR Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Cheng Li
Hui Sun
Zaiyi Liu
Meiyun Wang
Bingsheng Huang
Shanshan Wang
144
52
0
06 Aug 2019
Fully-automated patient-level malaria assessment on field-prepared thin
  blood film microscopy images, including Supplementary Information
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary InformationIEEE Global Humanitarian Technology Conference (GHTC), 2019
Charles B. Delahunt
Mayoore S. Jaiswal
M. Horning
Samantha Janko
Clay M. Thompson
...
Elizabeth Villasis
K. Tun
Christine M Bachman
David Bell
C. Mehanian
107
20
0
05 Aug 2019
Knee menisci segmentation and relaxometry of 3D ultrashort echo time
  (UTE) cones MR imaging using attention U-Net with transfer learning
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
Michal Byra
Mei Wu
Xiaodong Zhang
H. Jang
Yajun Ma
Eric Chang
Sameer Shah
Jiang Du
133
0
0
05 Aug 2019
U-Net Fixed-Point Quantization for Medical Image Segmentation
U-Net Fixed-Point Quantization for Medical Image Segmentation
Mohammadhossein Askarihemmat
S. Honari
Lucas Rouhier
C. Perone
Julien Cohen-Adad
Yvon Savaria
J. David
MQ
172
35
0
02 Aug 2019
An amplified-target loss approach for photoreceptor layer segmentation
  in pathological OCT scans
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
J. Orlando
Anna Breger
Hrvoje Bogunović
Sophie Riedl
Bianca S. Gerendas
Martin Ehler
U. Schmidt-Erfurth
MedIm
162
5
0
02 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang
Yunxin Zhong
Yulin Deng
Xiaoying Tang
Xiaoqiong Li
199
34
0
01 Aug 2019
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy:
  Preliminary Results
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results
Alex E. Bocchieri
V. Parekh
K. Wagner
Vladimir Braverman
D. Leung
M. Jacobs
MedIm
88
4
0
01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
MedImDiffM
242
36
0
31 Jul 2019
Automatic Registration between Cone-Beam CT and Scanned Surface via
  Deep-Pose Regression Neural Networks and Clustered Similarities
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities
Minyoung Chung
Jingyu Lee
Wisoo Song
Youngchan Song
I. Yang
Jeongjin Lee
Y. Shin
155
29
0
29 Jul 2019
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid
  Network with Self-supervised Feature Learning
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning
Jingya Liu
Liangliang Cao
O. Akin
Yingli Tian
OOD
121
12
0
25 Jul 2019
Is Texture Predictive for Age and Sex in Brain MRI?
Is Texture Predictive for Age and Sex in Brain MRI?
Nick Pawlowski
Ben Glocker
3DHMedIm
103
9
0
25 Jul 2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep
  Convolutional Neural Networks
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Aimon Rahman
H. Zunair
Mohammad Sohel Rahman
Jesia Quader Yuki
S. Biswas
Md. Ashraful Alam
N. Alam
M. Mahdy
230
63
0
23 Jul 2019
Semi-Supervised Learning by Disentangling and Self-Ensembling Over
  Stochastic Latent Space
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent SpaceInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
P. Gyawali
Zhiyuan Li
S. Ghimire
Linwei Wang
142
20
0
22 Jul 2019
Automatic detection of rare pathologies in fundus photographs using
  few-shot learning
Automatic detection of rare pathologies in fundus photographs using few-shot learning
G. Quellec
M. Lamard
Pierre-Henri Conze
P. Massin
B. Cochener
230
87
0
22 Jul 2019
A-Phase classification using convolutional neural networks
A-Phase classification using convolutional neural networksMedical and Biological Engineering and Computing (MBEC), 2019
E. Arce-Santana
A. Alba
M. Méndez
V. Arce-Guevara
45
11
0
22 Jul 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning
Automated Gleason Grading of Prostate Biopsies using Deep LearningThe Lancet Oncology (Lancet Oncol.), 2019
W. Bulten
H. Pinckaers
H. V. van Boven
R. Vink
Thomas de Bel
Bram van Ginneken
J. A. van der Laak
C. Hulsbergen–van de Kaa
G. Litjens
166
529
0
18 Jul 2019
Unsupervised Task Design to Meta-Train Medical Image Classifiers
Unsupervised Task Design to Meta-Train Medical Image ClassifiersIEEE International Symposium on Biomedical Imaging (ISBI), 2019
Gabriel Maicas
Cuong C. Nguyen
F. Motlagh
Jacinto C. Nascimento
G. Carneiro
121
4
0
17 Jul 2019
Understanding Deep Learning Techniques for Image Segmentation
Understanding Deep Learning Techniques for Image SegmentationACM Computing Surveys (ACM CSUR), 2019
Swarnendu Ghosh
N. Das
Ishita Das
U. Maulik
SSegVLM
164
421
0
13 Jul 2019
Disease classification of macular Optical Coherence Tomography scans
  using deep learning software: validation on independent, multi-centre data
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre dataRetina (Retina), 2019
K. Bhatia
M. Graham
Louise Terry
Ashley Wood
P. Tranos
S. Trikha
Nicolas Jaccard
114
19
0
11 Jul 2019
Deadeye Visualization Revisited: Investigation of Preattentiveness and
  Applicability in Virtual Environments
Deadeye Visualization Revisited: Investigation of Preattentiveness and Applicability in Virtual EnvironmentsIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
A. Krekhov
S. Cmentowski
A. Waschk
Jens Kruger
60
26
0
10 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for
  Medical Image Segmentation
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Alain Jungo
M. Reyes
UQCV
254
158
0
07 Jul 2019
Prior Activation Distribution (PAD): A Versatile Representation to
  Utilize DNN Hidden Units
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
L. Meegahapola
Vengateswaran Subramaniam
Lance M. Kaplan
Archan Misra
120
3
0
05 Jul 2019
HyperNOMAD: Hyperparameter optimization of deep neural networks using
  mesh adaptive direct search
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct searchACM Transactions on Mathematical Software (TOMS), 2019
Dounia Lakhmiri
Sébastien Le Digabel
C. Tribes
3DH
141
25
0
03 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical
  Generative Models
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative ModelsIEEE Transactions on Medical Imaging (TMI), 2019
C. Biffi
Juan J. Cerrolaza
G. Tarroni
Wenjia Bai
A. de Marvao
...
Yanfu Zhang
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
241
56
0
28 Jun 2019
Classification of glomerular hypercellularity using convolutional
  features and support vector machine
Classification of glomerular hypercellularity using convolutional features and support vector machine
Paulo Chagas
Luiz Souza
I. Araújo
N. Aldeman
A. Duarte
M. Angelo
Washington L. C. dos-Santos
Luciano Oliveira
82
67
0
28 Jun 2019
Adversarial optimization for joint registration and segmentation in
  prostate CT radiotherapy
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Mohamed S. Elmahdy
J. Wolterink
Hessam Sokooti
Ivana Išgum
Marius Staring
MedIm
119
29
0
28 Jun 2019
A Deep Regression Model for Seed Identification in Prostate
  Brachytherapy
A Deep Regression Model for Seed Identification in Prostate BrachytherapyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Yading Yuan
R. Sheu
L. Fu
Y. Lo
MedIm
71
3
0
24 Jun 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
SSLMedIm
108
24
0
23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor
Chawin Sitawarin
David Wagner
AAML
215
29
0
23 Jun 2019
Learning to segment microscopy images with lazy labels
Learning to segment microscopy images with lazy labels
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Peter Schütz
Carola-Bibiane Schönlieb
158
11
0
20 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and HorizonsIEEE Transactions on Software Engineering (TSE), 2019
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLMAILaw
280
829
0
19 Jun 2019
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
Or Shwartzman
Harel Gazit
I. Shelef
Tammy Riklin-Raviv
102
1
0
12 Jun 2019
Automatic brain tissue segmentation in fetal MRI using convolutional
  neural networks
Automatic brain tissue segmentation in fetal MRI using convolutional neural networksMagnetic Resonance Imaging (MRI), 2019
Nadieh Khalili
Nikolas Lessmann
Elise Turk
N. Claessens
R. Heus
T. Kolk
M. Viergever
M. Benders
I. Isgum
116
107
0
11 Jun 2019
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