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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
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedImAI4CE
330
469
0
13 Sep 2018
Focus Group on Artificial Intelligence for Health
Focus Group on Artificial Intelligence for Health
M. Salathé
Thomas Wiegand
M. Wenzel
AI4MH
109
32
0
13 Sep 2018
Visualizing Convolutional Neural Networks to Improve Decision Support
  for Skin Lesion Classification
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification
Pieter Van Molle
Miguel De Strooper
Tim Verbelen
B. Vankeirsbilck
Pieter Simoens
Bart Dhoedt
FAtt
131
56
0
11 Sep 2018
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Xiao-Yun Zhou
Guang-Zhong Yang
278
85
0
11 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Tianpeng Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
685
2,654
0
06 Sep 2018
Breast Tumor Segmentation and Shape Classification in Mammograms using
  Generative Adversarial and Convolutional Neural Network
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
V. Singh
Hatem A. Rashwan
S. Romaní
Farhan Akram
Nidhi Pandey
...
Adel Saleh
M. Arenas
Miguel Arquez
D. Puig
J. Torrents-Barrena
MedImGAN
183
204
0
05 Sep 2018
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative
  Adversarial Network Approach
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
A. Lahiri
V. Jain
Arnab Kumar Mondal
P. Biswas
GANMedIm
162
13
0
05 Sep 2018
Image-based Survival Analysis for Lung Cancer Patients using CNNs
Image-based Survival Analysis for Lung Cancer Patients using CNNs
Christoph Haarburger
Philippe Weitz
Oliver Rippel
Dorit Merhof
159
40
0
29 Aug 2018
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges
  and Opportunities
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities
Parnian Afshar
Arash Mohammadi
Konstantinos N. Plataniotis
A. Oikonomou
Habib Benali
MedIm
129
232
0
23 Aug 2018
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours
  from Linear, Non-Linear and Deep Learning Models
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Nathan J. Olliverre
Guang Yang
Greg Slabaugh
C. Reyes-Aldasoro
Eduardo Alonso
MedIm
96
12
0
23 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
282
1,640
0
22 Aug 2018
Simultaneous synthesis of FLAIR and segmentation of white matter
  hypointensities from T1 MRIs
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs
Mauricio Orbes-Arteaga
M. Jorge Cardoso
Lauge Sørensen
Marc Modat
Sébastien Ourselin
Mads Nielsen
A. Pai
130
17
0
20 Aug 2018
Deep Mask For X-ray Based Heart Disease Classification
Xupeng Chen
Binbin Shi
MedIm
83
3
0
19 Aug 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a
  Reference to Train Distilled Stain-Invariant Convolutional Networks
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez
M. Balkenhol
I. Otte-Höller
Rob van de Loo
R. Vogels
...
S. Mol
N. Karssemeijer
G. Litjens
J. A. van der Laak
F. Ciompi
151
264
0
17 Aug 2018
Dynamic Routing on Deep Neural Network for Thoracic Disease
  Classification and Sensitive Area Localization
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Yan Shen
Mingchen Gao
MedIm
150
54
0
17 Aug 2018
Building medical image classifiers with very limited data using
  segmentation networks
Building medical image classifiers with very limited data using segmentation networks
Ken C. L. Wong
Tanveer Syeda-Mahmood
Mehdi Moradi
158
70
0
15 Aug 2018
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
597
642
0
13 Aug 2018
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural
  Networks
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
N. Gessert
Matthias Lutz
Markus Heyder
S. Latus
D. Leistner
Youssef S. Abdelwahed
Alexander Schlaefer
95
99
0
13 Aug 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine
  Learning Tasks
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki
Andrew M. Stuart
BDL
277
150
0
10 Aug 2018
Making effective use of healthcare data using data-to-text technology
Making effective use of healthcare data using data-to-text technology
Steffen Pauws
Albert Gatt
E. Krahmer
Ehud Reiter
125
30
0
10 Aug 2018
Visualizing Convolutional Networks for MRI-based Diagnosis of
  Alzheimer's Disease
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease
J. Rieke
Fabian Eitel
M. Weygandt
J. Haynes
K. Ritter
FAtt
142
91
0
08 Aug 2018
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation
  and Loss Weighting
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting
N. Gessert
T. Sentker
F. Madesta
Rüdiger Schmitz
H. Kniep
Ivo M. Baltruschat
R. Werner
Alexander Schlaefer
155
84
0
05 Aug 2018
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform
  Patch Generation
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
Egor Krivov
V. Kostjuchenko
A. Dalechina
B. Shirokikh
Gleb Makarchuk
A. Denisenko
A. Golanov
Mikhail Belyaev
MedIm
87
5
0
01 Aug 2018
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional
  Neural Network approach
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach
Kamlesh Pawar
Zhaolin Chen
N. Shah
Gary F. Egan
134
20
0
29 Jul 2018
Combining Heterogeneously Labeled Datasets For Training Segmentation
  Networks
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
J. Kemnitz
Christian F. Baumgartner
W. Wirth
F. Eckstein
Sebastian K. Eder
E. Konukoglu
101
8
0
24 Jul 2018
Iterative Interaction Training for Segmentation Editing Networks
Iterative Interaction Training for Segmentation Editing Networks
G. Bredell
C. Tanner
E. Konukoglu
125
34
0
23 Jul 2018
A post-processing method to improve the white matter hyperintensity
  segmentation accuracy for randomly-initialized U-net
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-netInternational Conference on Digital Signal Processing (ICDSP), 2018
Yue Zhang
Wanli Chen
Yifan Chen
Xiaoying Tang
93
9
0
21 Jul 2018
PhaseStain: Digital staining of label-free quantitative phase microscopy
  images using deep learning
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learningLight: Science & Applications (Light Sci Appl), 2018
Y. Rivenson
Tairan Liu
Zhensong Wei
Yibo Zhang
Aydogan Ozcan
119
361
0
20 Jul 2018
Capsule Networks against Medical Imaging Data Challenges
Capsule Networks against Medical Imaging Data Challenges
Amelia Jiménez-Sánchez
Shadi Albarqouni
Diana Mateus
MedIm
121
89
0
19 Jul 2018
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's
  Disease diagnostics
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics
A. Khvostikov
Karim Aderghal
A. Krylov
G. Catheline
J. Benois-Pineau
MedIm
109
40
0
17 Jul 2018
Longitudinal detection of radiological abnormalities with time-modulated
  LSTM
Longitudinal detection of radiological abnormalities with time-modulated LSTM
Ruggiero Santeramo
S. Withey
Giovanni Montana
132
35
0
16 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for
  Semantic Segmentation of Colorectal Polyps
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal PolypsInternational Workshop on Machine Learning for Signal Processing (MLSP), 2018
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Robert Jenssen
UQCV
151
78
0
16 Jul 2018
Image Classification for Arabic: Assessing the Accuracy of Direct
  English to Arabic Translations
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations
Abdulkareem Alsudais
VLM
79
4
0
13 Jul 2018
Deep semi-supervised segmentation with weight-averaged consistency
  targets
Deep semi-supervised segmentation with weight-averaged consistency targets
C. Perone
Julien Cohen-Adad
OOD
147
77
0
12 Jul 2018
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta
  Analysis with Ultrasound
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
N. Savioli
S. Visentin
E. Cosmi
Enrico Grisan
P. Lamata
Giovanni Montana
MedIm
101
1
0
11 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases
  on Chest Radiography
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
152
113
0
09 Jul 2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases
  and Identifying Abnormalities
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
Bo Zhou
Yuemeng Li
Jiangcong Wang
MedIm
132
26
0
03 Jul 2018
Sample Efficient Semantic Segmentation using Rotation Equivariant
  Convolutional Networks
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
J. Linmans
Jim Winkens
Bastiaan S. Veeling
Taco S. Cohen
Max Welling
MedIm
194
26
0
02 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Terrance Devries
Graham W. Taylor
UQCV
235
119
0
02 Jul 2018
Leveraging Disease Progression Learning for Medical Image Recognition
Leveraging Disease Progression Learning for Medical Image RecognitionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
Qicheng Lao
T. Fevens
Boyu Wang
MedIm
235
1
0
26 Jun 2018
Generative Adversarial Networks for Image-to-Image Translation on
  Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
Per Welander
Simon Karlsson
Anders Eklund
GANMedIm
164
110
0
20 Jun 2018
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal
  Cut-Off Layer
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer
Nadezhda Prodanova
Johannes Stegmaier
S. Allgeier
S. Bohn
O. Stachs
B. Köhler
Ralf Mikut
A. Bartschat
OODMedIm
109
4
0
19 Jun 2018
Deconvolving convolution neural network for cell detection
Deconvolving convolution neural network for cell detection
S. Raza
K. AbdulJabbar
M. Jamal-Hanjani
S. Veeriah
J. L. Quesne
C. Swanton
Yinyin Yuan
87
10
0
18 Jun 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GANMedIm
323
641
0
17 Jun 2018
Hierarchical interpretations for neural network predictions
Hierarchical interpretations for neural network predictions
Chandan Singh
W. James Murdoch
Bin Yu
190
155
0
14 Jun 2018
Automated Performance Assessment in Transoesophageal Echocardiography
  with Convolutional Neural Networks
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks
E. Mazomenos
Kamakshi Bansal
B. Martin
Andrew Smith
S. Wright
Danail Stoyanov
63
6
0
13 Jun 2018
Fully Convolutional Network for Melanoma Diagnostics
Fully Convolutional Network for Melanoma Diagnostics
Adon Phillips
I. Teo
J. Lang
MedIm
84
2
0
12 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
267
657
0
08 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
247
162
0
06 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance
  Segmentation in Colon Histology Images
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
S. Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng-Ann Heng
David R. J. Snead
Yee Wah Tsang
Nasir M. Rajpoot
MedIm
244
341
0
05 Jun 2018
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