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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
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Papers citing "A Survey on Deep Learning in Medical Image Analysis"

50 / 1,597 papers shown
Title
A Survey on Active Learning and Human-in-the-Loop Deep Learning for
  Medical Image Analysis
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd
E. C. Robinson
Bernhard Kainz
LM&MA
77
485
0
07 Oct 2019
A Topological Loss Function for Deep-Learning based Image Segmentation
  using Persistent Homology
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
J. Clough
Nicholas Byrne
Ilkay Oksuz
Zhenzhong Lan
Julia A. Schnabel
A. King
90
221
0
04 Oct 2019
Training Multiscale-CNN for Large Microscopy Image Classification in One
  Hour
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
Kushal Datta
Imtiaz Hossain
Sun Choi
V. Saletore
Kyle H. Ambert
William J. Godinez
Xian Zhang
19
4
0
03 Oct 2019
Deep learning tools for the measurement of animal behavior in
  neuroscience
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis
Alexander Mathis
3DVVLM
114
318
0
30 Sep 2019
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image
  Segmentation
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Xianxu Hou
Jingxin Liu
Bolei Xu
Bozhi Liu
Xin Chen
M. Ilyas
I. Ellis
J. Garibaldi
Guoping Qiu
55
19
0
25 Sep 2019
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image
  Synthesis
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
Mahmut Yurt
S. Dar
Aykut Erdem
Erkut Erdem
Tolga Çukur
MedIm
83
145
0
25 Sep 2019
Multi-scale fully convolutional neural networks for histopathology image
  segmentation: from nuclear aberrations to the global tissue architecture
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
Rüdiger Schmitz
F. Madesta
M. Nielsen
Jenny Krause
R. Werner
T. Rösch
MedImAI4CE
72
88
0
24 Sep 2019
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant
  Classification From Ultrasound Data Using Deep Learning
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
Ziming Qiu
N. Nair
Jack Langerman
O. Aristizábal
J. Mamou
D. Turnbull
J. Ketterling
Yao Wang
31
3
0
23 Sep 2019
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Yuyu Guo
3DV
74
6
0
23 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human
  sperm images
Genetic Neural Architecture Search for automatic assessment of human sperm images
Erfan Miahi
Seyed Abolghasem Mirroshandel
Alexis Nasr
75
29
0
20 Sep 2019
Representation Learning for Electronic Health Records
Representation Learning for Electronic Health Records
W. Weng
Peter Szolovits
81
19
0
19 Sep 2019
Multimodal Multitask Representation Learning for Pathology Biobank
  Metadata Prediction
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction
W. Weng
Yuannan Cai
Angela Lin
Fraser Tan
Po-Hsuan Cameron Chen
53
19
0
17 Sep 2019
The impact of patient clinical information on automated skin cancer
  detection
The impact of patient clinical information on automated skin cancer detection
André G. C. Pacheco
R. Krohling
95
158
0
16 Sep 2019
Meta-neural-network for Realtime and Passive Deep-learning-based Object
  Recognition
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition
Jingkai Weng
Yu-jiang Ding
Chengbo Hu
Xue‐Feng Zhu
B. Liang
Jing Yang
Jian-chun Cheng
ObjD
42
66
0
16 Sep 2019
A superpixel-driven deep learning approach for the analysis of
  dermatological wounds
A superpixel-driven deep learning approach for the analysis of dermatological wounds
G. Blanco
A. J. Traina
C. Traina
P. M. A. Marques
A. E. Jorge
Daniel de Oliveira
M. Bedo
52
43
0
13 Sep 2019
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation
  of Fluorescence Microscopy Images
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
D. J. Ho
Shuo Han
Chichen Fu
P. Salama
K. Dunn
Edward J. Delp
MedIm
78
6
0
13 Sep 2019
Perceptual Image Anomaly Detection
Perceptual Image Anomaly Detection
Nina Tuluptceva
Bart Bakker
Irina Fedulova
Anton Konushin
35
5
0
12 Sep 2019
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for
  weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner
  MRI
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Dennis Bontempi
Sergio Benini
A. Signoroni
M. Svanera
L. Muckli
3DV
125
26
0
11 Sep 2019
Skin cancer detection based on deep learning and entropy to detect
  outlier samples
Skin cancer detection based on deep learning and entropy to detect outlier samples
André G. C. Pacheco
Abder-Rahman Ali
Thomas Trappenberg
64
44
0
10 Sep 2019
Privacy-Net: An Adversarial Approach for Identity-Obfuscated
  Segmentation of Medical Images
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images
B. Kim
Jose Dolz
Pierre-Marc Jodoin
Christian Desrosiers
63
29
0
09 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
163
74
0
08 Sep 2019
Intensity augmentation for domain transfer of whole breast segmentation
  in MRI
Intensity augmentation for domain transfer of whole breast segmentation in MRI
L. Hesse
Grey Kuling
M. Veta
Anne L. Martel
33
5
0
05 Sep 2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic
  Contrast-Enhanced CT
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT
Bo Zhou
Adam P. Harrison
Jiawen Yao
Chi-Tung Cheng
Jing Xiao
Chien-Hung Liao
Le Lu
57
11
0
05 Sep 2019
Self-Attentive Adversarial Stain Normalization
Self-Attentive Adversarial Stain Normalization
A. Shrivastava
W. Adorno
Yash Sharma
L. Ehsan
S. A. Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald E. Brown
MedIm
44
24
0
04 Sep 2019
Random Error Sampling-based Recurrent Neural Network Architecture
  Optimization
Random Error Sampling-based Recurrent Neural Network Architecture Optimization
Andrés Camero
J. Toutouh
Enrique Alba
75
16
0
04 Sep 2019
Can we trust deep learning models diagnosis? The impact of domain shift
  in chest radiograph classification
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
E. Pooch
P. Ballester
Rodrigo C. Barros
OOD
125
124
0
03 Sep 2019
A Tool for Super-Resolving Multimodal Clinical MRI
A Tool for Super-Resolving Multimodal Clinical MRI
Mikael Brudfors
Yael Balbastre
P. Nachev
John Ashburner
49
11
0
03 Sep 2019
Kidney tumor segmentation using an ensembling multi-stage deep learning
  approach. A contribution to the KiTS19 challenge
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
Gianmarco Santini
Noémie Moreau
M. Rubeaux
21
31
0
02 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health
  informatics
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
58
26
0
01 Sep 2019
Automatic Detection of Bowel Disease with Residual Networks
Automatic Detection of Bowel Disease with Residual Networks
R. Holland
U. Patel
P. Lung
E. Chotzoglou
Bernhard Kainz
30
5
0
31 Aug 2019
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters
  Using Multi-Task Deep Learning
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Zahra Sobhaninia
Shima Rafiei
Ali Emami
N. Karimi
Kayvan Najarian
S. Samavi
S. M. Reza Soroushmehr
43
101
0
31 Aug 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
152
471
0
31 Aug 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference
  and Training Accelerators
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators
Lukas Cavigelli
Georg Rutishauser
Luca Benini
MQ
67
34
0
30 Aug 2019
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in
  Inverted Microscopy Images
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images
C. Koyuncu
G. N. Gunesli
R. Cetin-Atalay
Cigdem Demir
56
25
0
29 Aug 2019
Metric-based Regularization and Temporal Ensemble for Multi-task
  Learning using Heterogeneous Unsupervised Tasks
Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
D. Kim
Seung Hyun Lee
B. Song
40
3
0
29 Aug 2019
Distributed Deep Learning for Precipitation Nowcasting
Distributed Deep Learning for Precipitation Nowcasting
S. Samsi
Christopher J. Mattioli
Mark S. Veillette
80
23
0
28 Aug 2019
O-MedAL: Online Active Deep Learning for Medical Image Analysis
O-MedAL: Online Active Deep Learning for Medical Image Analysis
A. Smailagic
P. Costa
Alex Gaudio
Kartik Khandelwal
Mostafa Mirshekari
...
Susu Xu
Adrian Galdran
Pei Zhang
A. Campilho
Hae Young Noh
FedMLMedIm
75
37
0
28 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
174
771
0
27 Aug 2019
Extending TensorFlow's Semantics with Pipelined Execution
Extending TensorFlow's Semantics with Pipelined Execution
S. Whitlock
James R. Larus
Edouard Bugnion
26
1
0
25 Aug 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati
Milad Zafar Nezhad
R. Chinnam
D. Zhu
BDLOOD
78
16
0
24 Aug 2019
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and
  Regression-Voting
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Runnan Chen
Yuexin Ma
Nenglun Chen
Daniel Lee
Wenping Wang
63
89
0
23 Aug 2019
Feature Learning to Automatically Assess Radiographic Knee
  Osteoarthritis Severity
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Joseph Antony
Kevin McGuinness
Kieran Moran
Noel E. O'Connor
31
7
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
51
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
38
3
0
22 Aug 2019
Dataset Growth in Medical Image Analysis Research
Dataset Growth in Medical Image Analysis Research
Y. Landau
N. Kiryati
OOD
65
33
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
53
24
0
19 Aug 2019
Discretely-constrained deep network for weakly supervised segmentation
Discretely-constrained deep network for weakly supervised segmentation
Jizong Peng
H. Kervadec
Jose Dolz
Ismail Ben Ayed
M. Pedersoli
Christian Desrosiers
67
32
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 history
B. Liefers
J. Colijn
C. González-Gonzalo
T. Verzijden
P. Mitchell
C. Hoyng
Bram van Ginneken
C. Klaver
C. I. Sánchez
26
58
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 methods
Miriam Hagele
P. Seegerer
Sebastian Lapuschkin
M. Bockmayr
Wojciech Samek
Frederick Klauschen
K. Müller
Alexander Binder
117
163
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 Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
141
19
0
15 Aug 2019
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