ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.05747
  4. Cited By
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
CFCM: Segmentation via Coarse to Fine Context Memory
CFCM: Segmentation via Coarse to Fine Context Memory
Fausto Milletari
Nicola Rieke
Maximilian Baust
M. Esposito
Nassir Navab
138
50
0
04 Jun 2018
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy
B. Gutiérrez-Becker
Christian Wachinger
3DPC
90
22
0
04 Jun 2018
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Guannan Zhao
Bo Zhou
Kaiwen Wang
Rui Jiang
Min Xu
FAttMedIm
119
52
0
31 May 2018
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks
  (ST-CNN)
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Yu Zhao
Xiang Li
Wei Zhang
Shijie Zhao
Milad Makkie
Mo Zhang
Shijie Zhao
Tianming Liu
190
54
0
31 May 2018
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in
  Medical Decision Making
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making
Luchen Li
Matthieu Komorowski
Aldo A. Faisal
CMLOffRL
159
20
0
29 May 2018
Robust Tumor Localization with Pyramid Grad-CAM
Robust Tumor Localization with Pyramid Grad-CAM
Sungmin Lee
Jangho Lee
Jungbeom Lee
Chul-Kee Park
Sungroh Yoon
MedIm
164
35
0
29 May 2018
Multi-region segmentation of bladder cancer structures in MRI with
  progressive dilated convolutional networks
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz
Xiaopan Xu
Jérôme Rony
Jing Yuan
Yang Liu
Eric Granger
Christian Desrosiers
Xi Zhang
Ismail Ben Ayed
Hongbing Lu
MedIm
267
83
0
28 May 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray
  Breast Mass Segmentation and Shape Classification
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
V. Singh
S. Romaní
Hatem A. Rashwan
Farhan Akram
Nidhi Pandey
...
Saddam Abdulwahab
Adel Saleh
Miguel Arquez
M. Arenas
D. Puig
GANMedIm
249
49
0
25 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser
Ari S. Benjamin
Roozbeh Farhoodi
Konrad Paul Kording
174
123
0
21 May 2018
Automatic segmentation of the spinal cord and intramedullary multiple
  sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C. Gros
B. Leener
A. Badji
J. Maranzano
Dominique Eden
...
J. Doyon
T. Shepherd
Erik Charlson
S. Narayanan
Julien Cohen-Adad
228
250
0
16 May 2018
Constrained-CNN losses for weakly supervised segmentation
Constrained-CNN losses for weakly supervised segmentation
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
197
256
0
12 May 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ
  Segmentation
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki
Yefeng Zheng
S. Kevin Zhou
Bogdan Georgescu
Puneet Sharma
Daguang Xu
Dorin Comaniciu
Ghassan Hamarneh
206
384
0
08 May 2018
Unsupervised learning for concept detection in medical images: a
  comparative analysis
Unsupervised learning for concept detection in medical images: a comparative analysis
Eduardo Pinho
C. Costa
SSL
98
12
0
04 May 2018
Hybrid Forests for Left Ventricle Segmentation using only the first
  slice label
Hybrid Forests for Left Ventricle Segmentation using only the first slice label
Ismaël Koné
L. Boulmane
89
2
0
30 Apr 2018
PANDA: Facilitating Usable AI Development
PANDA: Facilitating Usable AI Development
Jinyang Gao
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Guoliang Li
Teck Khim Ng
Beng Chin Ooi
Sheng Wang
Jingren Zhou
239
4
0
26 Apr 2018
Automated Mouse Organ Segmentation: A Deep Learning Based Solution
Automated Mouse Organ Segmentation: A Deep Learning Based Solution
N. Ashish
M. Brusniak
167
2
0
24 Apr 2018
One-Shot Learning using Mixture of Variational Autoencoders: a
  Generalization Learning approach
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approachAdaptive Agents and Multi-Agent Systems (AAMAS), 2018
Decebal Constantin Mocanu
Elena Mocanu
BDLVLMDRL
134
19
0
18 Apr 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
221
829
0
17 Apr 2018
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Jo Schlemper
Ozan Oktay
Liang Chen
Jacqueline Matthew
C. Knight
Bernhard Kainz
Ben Glocker
Daniel Rueckert
172
103
0
15 Apr 2018
All-Optical Machine Learning Using Diffractive Deep Neural Networks
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin
Y. Rivenson
N. Yardimci
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
354
1,983
0
14 Apr 2018
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging
  using Consensus-based Silver standard Masks
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks
Oeslle Lucena
R. Souza
Letícia Rittner
Richard Frayne
R. Lotufo
115
3
0
13 Apr 2018
Iterative fully convolutional neural networks for automatic vertebra
  segmentation and identification
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Nikolas Lessmann
Bram van Ginneken
P. A. Jong
Ivana Išgum
156
238
0
12 Apr 2018
A Recurrent CNN for Automatic Detection and Classification of Coronary
  Artery Plaque and Stenosis in Coronary CT Angiography
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography
M. Zreik
R. V. van Hamersvelt
J. Wolterink
T. Leiner
M. Viergever
Ivana Isgum
234
246
0
12 Apr 2018
Plaque Classification in Coronary Arteries from IVOCT Images Using
  Convolutional Neural Networks and Transfer Learning
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning
N. Gessert
Markus Heyder
S. Latus
Matthias Lutz
Alexander Schlaefer
54
14
0
11 Apr 2018
Impact of ultrasound image reconstruction method on breast lesion
  classification with neural transfer learning
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra
T. Sznajder
Danijel Koržinek
H. Piotrzkowska-Wróblewska
K. Dobruch-Sobczak
A. Nowicki
K. Marasek
116
9
0
06 Apr 2018
Towards radiologist-level cancer risk assessment in CT lung screening
  using deep learning
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
S. Trajanovski
Dimitrios Mavroeidis
C. Swisher
B. Gebre
Bastiaan S. Veeling
...
C. Wald
Brady J. McKee
Sebastian Flacke
H. MacMahon
H. Pien
116
56
0
05 Apr 2018
Semi-Supervised Deep Metrics for Image Registration
Semi-Supervised Deep Metrics for Image Registration
A. Sedghi
Jie Luo
Alireza Mehrtash
S. Pieper
C. Tempany
Tina Kapur
P. Mousavi
W. Wells
127
22
0
04 Apr 2018
Towards whole-body CT Bone Segmentation
Towards whole-body CT Bone Segmentation
André Klein
J. Warszawski
J. Hillengass
Klaus H. Maier-Hein
59
9
0
03 Apr 2018
Multi-modal Disease Classification in Incomplete Datasets Using
  Geometric Matrix Completion
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion
G. Vivar
A. Zwergal
Nassir Navab
Seyed-Ahmad Ahmadi
126
23
0
30 Mar 2018
Classification of crystallization outcomes using deep convolutional
  neural networks
Classification of crystallization outcomes using deep convolutional neural networks
Andrew E. Bruno
P. Charbonneau
J. Newman
E. Snell
David R. So
Vincent Vanhoucke
Christopher J. Watkins
Shawn Williams
Julie Wilson
86
70
0
27 Mar 2018
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully
  Convolutional Neural Networks
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy
J. Butman
Daniel Reich
P. Calabresi
Dzung L. Pham
MedIm
117
93
0
24 Mar 2018
Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template
  Rigid Registration
Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid RegistrationIEEE Transactions on Medical Imaging (IEEE TMI), 2018
Seyed Sadegh Mohseni Salehi
Shadab Khan
Deniz Erdogmus
Ali Gholipour
3DHMedIm
250
117
0
15 Mar 2018
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot
  study
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
Zhang Li
Zheyu Hu
Jiaolong Xu
Longxuan Zhao
Hui Chen
...
G. Cai
Q. Ouyang
Yuling Tang
G. Litjens
Qiang Li
116
34
0
14 Mar 2018
Development and Validation of Deep Learning Algorithms for Detection of
  Critical Findings in Head CT Scans
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy
Rohit Ghosh
Swetha Tanamala
Mustafa Biviji
N. Campeau
V. Venugopal
V. Mahajan
Pooja Rao
Prashant Warier
176
122
0
13 Mar 2018
Replication study: Development and validation of deep learning algorithm
  for detection of diabetic retinopathy in retinal fundus photographs
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
M. Voets
Kajsa Møllersen
L. A. Bongo
136
190
0
12 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
115
32
0
10 Mar 2018
Efficient and Accurate MRI Super-Resolution using a Generative
  Adversarial Network and 3D Multi-Level Densely Connected Network
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen
Feng Shi
A. Christodoulou
Zhengwei Zhou
Yibin Xie
Debiao Li
MedIm
229
335
0
04 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN
  Performance in Liver Lesion Classification
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Maayan Frid-Adar
I. Diamant
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
GANMedIm
281
1,725
0
03 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
399
969
0
03 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning
Bioinformatics and Medicine in the Era of Deep LearningThe European Symposium on Artificial Neural Networks (ESANN), 2018
D. Bacciu
P. Lisboa
José D. Martín
R. Stoean
A. Vellido
AI4CEBDL
163
17
0
27 Feb 2018
i3PosNet: Instrument Pose Estimation from X-Ray in temporal bone surgery
i3PosNet: Instrument Pose Estimation from X-Ray in temporal bone surgeryInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018
David Kügler
Jannik Sehring
A. Stefanov
I. Stenin
J. Kristin
T. Klenzner
J. Schipper
Anirban Mukhopadhyay
218
36
0
26 Feb 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
477
1,166
0
20 Feb 2018
Bridging Cognitive Programs and Machine Learning
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld
John K. Tsotsos
HAI
161
1
0
16 Feb 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
799
2,258
0
13 Feb 2018
Tubule segmentation of fluorescence microscopy images based on
  convolutional neural networks with inhomogeneity correction
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Soonam Lee
Chichen Fu
P. Salama
K. Dunn
Edward J. Delp
118
13
0
10 Feb 2018
Deep learning in radiology: an overview of the concepts and a survey of
  the state of the art
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski
Mateusz Buda
Ashirbani Saha
Mustafa R. Bashir
MedImAI4CE
140
486
0
10 Feb 2018
Multiparametric Deep Learning Tissue Signatures for a Radiological
  Biomarker of Breast Cancer: Preliminary Results
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results
V. Parekh
K. Macura
S. Harvey
I. Kamel
R. Khouli
D. Bluemke
M. Jacobs
MedIm
131
37
0
10 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks
Effective Quantization Approaches for Recurrent Neural Networks
Md. Zahangir Alom
A. Moody
N. Maruyama
B. Van Essen
T. Taha
MQ
209
38
0
07 Feb 2018
Active, Continual Fine Tuning of Convolutional Neural Networks for
  Reducing Annotation Efforts
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
Zongwei Zhou
Jae Y. Shin
S. Gurudu
Michael B. Gotway
Jianming Liang
MedIm
249
10
0
03 Feb 2018
Classification and Disease Localization in Histopathology Using Only
  Global Labels: A Weakly-Supervised Approach
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
P. Courtiol
Eric W. Tramel
Marc Sanselme
G. Wainrib
162
125
0
01 Feb 2018
Previous
123...32333435
Next