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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"

50 / 1,596 papers shown
Title
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller,
  Faster, and Better
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
Yuhua Chen
A. Christodoulou
Zhengwei Zhou
Feng Shi
Yibin Xie
Debiao Li
MedIm
SupR
25
44
0
02 Mar 2020
Deep Learning in Mining Biological Data
Deep Learning in Mining Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
AI4CE
28
286
0
28 Feb 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic
  Attributes with Applications to Anomaly Detection
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
DiffM
DRL
21
6
0
25 Feb 2020
Distributed Ledger for Provenance Tracking of Artificial Intelligence
  Assets
Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets
Philipp Lüthi
Thibault Gagnaux
Marcel Gygli
22
14
0
25 Feb 2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural
  Network with Multidata Analysis
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
S. Candemir
X. V. Nguyen
Luciano M Prevedello
M. Bigelow
Richard D. White
B. S. Erdal
16
10
0
24 Feb 2020
High-Order Paired-ASPP Networks for Semantic Segmenation
High-Order Paired-ASPP Networks for Semantic Segmenation
Yu Zhang
Xin Sun
Junyu Dong
Changrui Chen
Yue Shen
60
2
0
18 Feb 2020
Over-the-Air Adversarial Flickering Attacks against Video Recognition
  Networks
Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks
Roi Pony
I. Naeh
Shie Mannor
AAML
21
51
0
12 Feb 2020
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and
  Keras
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
J. Bohrer
Bruno Iochins Grisci
M. Dorn
23
12
0
11 Feb 2020
Artificial Intelligence Assistance Significantly Improves Gleason
  Grading of Prostate Biopsies by Pathologists
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
W. Bulten
M. Balkenhol
J. A. Belinga
A. Brilhante
A. Çakır
...
H. V. van Boven
R. Vink
J. A. van der Laak
C. Hulsbergen-van der Kaa
G. Litjens
16
128
0
11 Feb 2020
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System Testing
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAML
VLM
32
98
0
09 Feb 2020
Medical Image Registration Using Deep Neural Networks: A Comprehensive
  Review
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
H. R. Boveiri
R. Khayami
R. Javidan
A. MehdiZadeh
117
135
0
09 Feb 2020
A neural network model that learns differences in diagnosis strategies
  among radiologists has an improved area under the curve for aneurysm status
  classification in magnetic resonance angiography image series
A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series
Y. Tachibana
Masataka Nishimori
Naoyuki Kitamura
Kensuke Umehara
Junko Ota
T. Obata
T. Higashi
6
2
0
03 Feb 2020
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement
  Learning
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning
Shanhui Sun
Jing Hu
Mingqing Yao
Jinrong Hu
Xiaodong Yang
Qi Song
Xi Wu
16
24
0
29 Jan 2020
Deep Learning in Multi-organ Segmentation
Deep Learning in Multi-organ Segmentation
Y. Lei
Yabo Fu
Tonghe Wang
Richard L. J. Qiu
W. Curran
Tian-xing Liu
Xiaofeng Yang
SSeg
42
32
0
28 Jan 2020
Abdominal multi-organ segmentation with cascaded convolutional and
  adversarial deep networks
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Pierre-Henri Conze
A. Emre Kavur
E. Gall
N. Gezer
Y. Meur
M. Alper Selver
F. Rousseau
SSeg
MedIm
19
100
0
26 Jan 2020
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile
  Application Approach
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach
Misgina Tsighe Hagos
39
3
0
26 Jan 2020
Domain Adaptive Medical Image Segmentation via Adversarial Learning of
  Disease-Specific Spatial Patterns
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns
Hongwei Bran Li
T. Loehr
Anjany Sekuboyina
Jianguo Zhang
Benedikt Wiestler
Bjoern H. Menze
OOD
23
3
0
25 Jan 2020
Brain Tumor Classification Using Deep Learning Technique -- A Comparison
  between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes
Brain Tumor Classification Using Deep Learning Technique -- A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes
Ali Mohammad Alqudah
Hiam Alquraan
Isam F. Abu-Qasmieh
A. Alqudah
Wafaa Al-Sharu
18
124
0
23 Jan 2020
A versatile anomaly detection method for medical images with a
  flow-based generative model in semi-supervision setting
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting
Hisaichi Shibata
S. Hanaoka
Y. Nomura
Takahiro Nakao
Issei Sato
D. Sato
Naoto Hayashi
O. Abe
MedIm
14
2
0
22 Jan 2020
An Efficient Framework for Automated Screening of Clinically Significant
  Macular Edema
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema
Renoh Johnson Chalakkal
Faizal M. F. Hafiz
W. Abdulla
Akshya Swain
35
22
0
20 Jan 2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a
  Smartphone Camera
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Yuan Liang
Hsuan-Wei Fan
Zhujun Fang
L. Miao
Wen Li
Xuan Zhang
Weibin Sun
Kun Wang
Lei He
Xiang Ánthony' Chen
18
35
0
16 Jan 2020
A Reference Architecture for Plausible Threat Image Projection (TIP)
  Within 3D X-ray Computed Tomography Volumes
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
Qian Wang
Najla Megherbi Bouallagu
T. Breckon
27
10
0
15 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning
Sparse Black-box Video Attack with Reinforcement Learning
Xingxing Wei
Huanqian Yan
Yue Liu
AAML
31
49
0
11 Jan 2020
A context based deep learning approach for unbalanced medical image
  segmentation
A context based deep learning approach for unbalanced medical image segmentation
Balamurali Murugesan
Kaushik Sarveswaran
S. VijayaRaghavan
Sharath M. Shankaranarayana
Keerthi Ram
M. Sivaprakasam
GAN
MedIm
SSeg
6
9
0
08 Jan 2020
Deep Learning-Based Solvability of Underdetermined Inverse Problems in
  Medical Imaging
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun
Seong Hyeon Baek
M. Lee
S. Lee
J.K. Seo
27
40
0
06 Jan 2020
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
Xufeng Huang
Qiang Lei
Tingli Xie
Yiming Zhang
Zhen Hu
Qi Zhou
MedIm
26
77
0
05 Jan 2020
Segmentation of Cellular Patterns in Confocal Images of Melanocytic
  Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Kivanc Kose
Alican Bozkurt
C. Alessi-Fox
M. Gill
C. Longo
G. Pellacani
Jennifer Dy
Dana H. Brooks
M. Rajadhyaksha
23
30
0
03 Jan 2020
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic
  Images based on Demons Model
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
Shuo Huang
Ke Wu
Xiaolin Meng
Cheng Li
14
3
0
31 Dec 2019
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View
  Residual Learning
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning
Muhammad Usman
B. Lee
Shi-Sub Byon
Sung Hyun Kim
Byung-il Lee
17
69
0
31 Dec 2019
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
40
815
0
31 Dec 2019
Differentially Private M-band Wavelet-Based Mechanisms in Machine
  Learning Environments
Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments
Kenneth Choi
Tony Lee
11
2
0
30 Dec 2019
A New Approach for Explainable Multiple Organ Annotation with Few Data
A New Approach for Explainable Multiple Organ Annotation with Few Data
Régis Pierrard
Jean-Philippe Poli
C´eline Hudelot
16
8
0
30 Dec 2019
Learning from Learning Machines: Optimisation, Rules, and Social Norms
Learning from Learning Machines: Optimisation, Rules, and Social Norms
Travis LaCroix
Yoshua Bengio
28
7
0
29 Dec 2019
Arachne: Search Based Repair of Deep Neural Networks
Arachne: Search Based Repair of Deep Neural Networks
Jeongju Sohn
Sungmin Kang
S. Yoo
KELM
32
46
0
28 Dec 2019
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
39
567
0
28 Dec 2019
Deep Learning in Medical Image Registration: A Review
Deep Learning in Medical Image Registration: A Review
Yabo Fu
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
43
513
0
27 Dec 2019
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance
  Imaging with Deep Neural Networks
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Yuhua Chen
Dan Ruan
Jiayu Xiao
Lixia Wang
Bin Sun
R. Saouaf
Wensha Yang
Debiao Li
Z. Fan
21
58
0
23 Dec 2019
Artificial Intelligence in Surgery
Artificial Intelligence in Surgery
Xiao-Yun Zhou
Yao Guo
Mali Shen
Guang-Zhong Yang
AI4CE
30
5
0
23 Dec 2019
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for
  Medical Image Segmentation
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
Minh H. Vu
G. Grimbergen
T. Nyholm
Tommy Löfstedt
SSeg
36
31
0
19 Dec 2019
Measuring the Quality of Explanations: The System Causability Scale
  (SCS). Comparing Human and Machine Explanations
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Andreas Holzinger
André M. Carrington
Heimo Muller
LRM
XAI
ELM
36
300
0
19 Dec 2019
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images
Zoé Lambert
Caroline Petitjean
B. Dubray
S. Ruan
OOD
30
3
0
12 Dec 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
62
2,576
0
11 Dec 2019
Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant
  Landmark Detection for Calcaneal Angle Measurement, Fracture Identification
  and Fracture Region Segmentation
Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation
Jia Guo
Yuxuan Mu
Dong Xue
Huiqi Li
Junxian Chen
Huanxin Yan
Hailin Xu
Wei Wang
31
0
0
10 Dec 2019
Object Detection with Convolutional Neural Networks
Object Detection with Convolutional Neural Networks
Kaidong Li
Wenchi Ma
Usman Sajid
Yuanwei Wu
Guanghui Wang
ObjD
31
47
0
04 Dec 2019
The state of the art in kidney and kidney tumor segmentation in
  contrast-enhanced CT imaging: Results of the KiTS19 Challenge
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
...
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
28
474
0
02 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
24
265
0
29 Nov 2019
Learning from Irregularly Sampled Data for Endomicroscopy
  Super-resolution: A Comparative Study of Sparse and Dense Approaches
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches
A. Szczotka
D. I. Shakir
D. Ravì
Matthew J. Clarkson
Stephen P. Pereira
Tom Vercauteren
19
9
0
29 Nov 2019
Leveraging Self-supervised Denoising for Image Segmentation
Leveraging Self-supervised Denoising for Image Segmentation
M. Prakash
T. Buchholz
Manan Lalit
P. Tomančák
Florian Jug
Alexander Krull
26
17
0
27 Nov 2019
High- and Low-level image component decomposition using VAEs for
  improved reconstruction and anomaly detection
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection
David Zimmerer
Jens Petersen
Klaus Maier-Hein
DRL
28
7
0
27 Nov 2019
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with
  Deep Feature Maps
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
Yang Jiao
Monica M. C. Weng
Mei Yang
39
3
0
26 Nov 2019
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