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A Survey on Deep Learning in Medical Image Analysis

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"

40 / 1,590 papers shown
Title
A deep learning-based method for relative location prediction in CT scan
  images
A deep learning-based method for relative location prediction in CT scan images
Jiajia Guo
H. Du
B. Qiu
Xiao Liang
16
1
0
21 Nov 2017
DLTK: State of the Art Reference Implementations for Deep Learning on
  Medical Images
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
Nick Pawlowski
S. Ktena
M. J. Lee
Bernhard Kainz
Daniel Rueckert
Ben Glocker
Martin Rajchl
LM&MA
MedIm
19
81
0
18 Nov 2017
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D
  Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted
  Focal U-Net
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net
Xiao-Yun Zhou
Su-Lin Lee
Guang-Zhong Yang
3DPC
29
34
0
04 Nov 2017
Data, Depth, and Design: Learning Reliable Models for Skin Lesion
  Analysis
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle
Michel Fornaciali
Afonso Menegola
Julia Tavares
F. Bittencourt
Lin Tzy Li
Sandra Avila
17
25
0
01 Nov 2017
Segmentation-by-Detection: A Cascade Network for Volumetric Medical
  Image Segmentation
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang
Zichen Zhang
Dana Cobzas
Martin Jägersand
Jacob L. Jaremko
37
22
0
31 Oct 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and
  Topographical Reconstruction from Conventional Endoscopy
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
Faisal Mahmood
Nicholas J. Durr
MedIm
35
142
0
30 Oct 2017
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
30
332
0
28 Oct 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
41
686
0
11 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction
Reconstruction of Hidden Representation for Robust Feature Extraction
Zeng Yu
Tianrui Li
Ning Yu
Yi Pan
Hongmei Chen
Bing-Quan Liu
14
27
0
08 Oct 2017
Spinal cord gray matter segmentation using deep dilated convolutions
Spinal cord gray matter segmentation using deep dilated convolutions
C. Perone
Evan Calabrese
Julien Cohen-Adad
MedIm
27
113
0
02 Oct 2017
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang
Jian Sun
Huibin Li
Lisheng Wang
Zongben Xu
33
27
0
27 Sep 2017
Convolutional neural networks that teach microscopes how to image
Convolutional neural networks that teach microscopes how to image
R. Horstmeyer
Richard Y. Chen
Barbara Kappes
B. Judkewitz
27
58
0
21 Sep 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR
  Image Segmentation
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner
Lisa M. Koch
Marc Pollefeys
E. Konukoglu
22
246
0
13 Sep 2017
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and
  Unsupervised Semantic Localization for Intraoperative CLE Images
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Intraoperative CLE Images
Mohammadhassan Izadyyazdanabadi
E. Belykh
M. Mooney
N. Martirosyan
J. Eschbacher
P. Nakaji
M. Preul
Yezhou Yang
11
31
0
10 Sep 2017
Machine learning methods for histopathological image analysis
Machine learning methods for histopathological image analysis
D. Komura
S. Ishikawa
11
693
0
04 Sep 2017
Automatic Myocardial Segmentation by Using A Deep Learning Network in
  Cardiac MRI
Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI
A. Curiale
F. D. Colavecchia
P. Kaluza
R. Isoardi
G. Mato
13
22
0
24 Aug 2017
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional
  Networks
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks
Aleksander Klibisz
Derek C. Rose
Matthew R. Eicholtz
J. Blundon
Stanislav S Zakharenko
32
38
0
19 Jul 2017
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image
  Segmentation
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang
Maria A. Zuluaga
Wenqi Li
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
24
405
0
03 Jul 2017
Fast and accurate classification of echocardiograms using deep learning
Fast and accurate classification of echocardiograms using deep learning
Ali Madani
R. Arnaout
M. Mofrad
Rima Arnaout
21
24
0
27 Jun 2017
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
Isabel Pino Peña
V. Cheplygina
S. Paschaloudi
Morten Vuust
J. Carl
U. Weinreich
L. Østergaard
Marleen de Bruijne
25
23
0
07 Jun 2017
EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
S. T. Kim
Yong Man Ro
27
5
0
31 May 2017
Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
38
188
0
27 May 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
...
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
18
654
0
22 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
13
275
0
11 May 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
37
161
0
10 May 2017
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
  Network Method
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Xiao Han
MedIm
53
155
0
24 Apr 2017
A 3D fully convolutional neural network and a random walker to segment
  the esophagus in CT
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT
T. Fechter
S. Adebahr
D. Baltas
Ismail Ben Ayed
Christian Desrosiers
Jose Dolz
17
4
0
21 Apr 2017
Segmentation of the Proximal Femur from MR Images using Deep
  Convolutional Neural Networks
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz
Siyuan Xiang
S. Hallyburton
A. Welbeck
James S. Babb
S. Honig
Kyunghyun Cho
G. Chang
18
147
0
20 Apr 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
21
246
0
15 Apr 2017
Classifying Symmetrical Differences and Temporal Change in Mammography
  Using Deep Neural Networks
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
Thijs Kooi
N. Karssemeijer
31
48
0
22 Mar 2017
Supervised Saliency Map Driven Segmentation of the Lesions in
  Dermoscopic Images
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images
Mostafa Jahanifar
Neda Zamani Tajeddin
B. Mohammadzadeh Asl
A. Gooya
MedIm
24
63
0
28 Feb 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain
  Lesion Segmentation
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Mohsen Ghafoorian
Alireza Mehrtash
Tina Kapur
N. Karssemeijer
E. Marchiori
...
Bram van Ginneken
Andrey Fedorov
Purang Abolmaesumi
B. Platel
W. Wells
MedIm
OOD
16
328
0
25 Feb 2017
Multivariate mixture model for myocardium segmentation combining
  multi-source images
Multivariate mixture model for myocardium segmentation combining multi-source images
Xiahai Zhuang
35
255
0
28 Dec 2016
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled
  Space
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space
Abhay Shah
M. Abràmoff
Xiaodong Wu
22
12
0
09 Nov 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
19
236
0
16 Oct 2016
Towards Automated Melanoma Screening: Exploring Transfer Learning
  Schemes
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola
Michel Fornaciali
Ramon Pires
Sandra Avila
Eduardo Valle
MedIm
196
43
0
05 Sep 2016
Deep Active Contours
Deep Active Contours
Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
205
64
0
18 Jul 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
188
842
0
09 Feb 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
200
363
0
26 Jan 2016
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