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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
Opportunities and Challenges in Deep Learning Adversarial Robustness: A
  Survey
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAML
OOD
31
131
0
01 Jul 2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for
  Histopathological Image Classification
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Pushpak Pati
Guillaume Jaume
Lauren Alisha Fernandes
A. Foncubierta
Florinda Feroce
...
G. Botti
O. Goksel
Jean-Philippe Thiran
Maria Frucci
M. Gabrani
31
69
0
01 Jul 2020
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using
  Transfer Learning
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
L. Hesse
P. A. Jong
J. Pluim
Veronika Cheplygina
19
1
0
30 Jun 2020
Statistical Mechanical Analysis of Neural Network Pruning
Statistical Mechanical Analysis of Neural Network Pruning
Rupam Acharyya
Ankani Chattoraj
Boyu Zhang
Shouman Das
Daniel Stefankovic
32
0
0
30 Jun 2020
Terahertz Pulse Shaping Using Diffractive Surfaces
Terahertz Pulse Shaping Using Diffractive Surfaces
Muhammed Veli
Deniz Mengu
N. Yardimci
Yilin Luo
Jingxi Li
Y. Rivenson
Mona Jarrahi
Aydogan Ozcan
28
4
0
30 Jun 2020
A Tool for Automatic Estimation of Patient Position in Spinal CT Data
A Tool for Automatic Estimation of Patient Position in Spinal CT Data
Roman Jakubicek
Tomáš Vičar
Jiri Chmelik
OOD
8
1
0
27 Jun 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Yu Tian
Gabriel Maicas
L. Pu
Rajvinder Singh
Johan Verjans
G. Carneiro
MedIm
35
39
0
26 Jun 2020
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid
  Constrained Semi-Supervised Learning and Dual-UNet
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
27
26
0
25 Jun 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based
  on 3D U-Net
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Muller
Iñaki Soto Rey
Frank Kramer
33
70
0
24 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation
Realistic Adversarial Data Augmentation for MR Image Segmentation
Chen Chen
C. Qin
Huaqi Qiu
Cheng Ouyang
Shuo Wang
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
31
83
0
23 Jun 2020
Unified Representation Learning for Efficient Medical Image Analysis
Unified Representation Learning for Efficient Medical Image Analysis
Ghada Zamzmi
S. Rajaraman
Sameer Kiran Antani
6
17
0
19 Jun 2020
Adaptive feature recombination and recalibration for semantic
  segmentation with Fully Convolutional Networks
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Sérgio Pereira
Adriano Pinto
Joana Amorim
Alexandrine Ribeiro
Victor Alves
Carlos Alberto Silva
16
63
0
19 Jun 2020
DS6, Deformation-aware Semi-supervised Learning: Application to Small
  Vessel Segmentation with Noisy Training Data
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
S. Chatterjee
Kartik Prabhu
Mahantesh Pattadkal
Gerda Bortsova
Chompunuch Sarasaen
Florian Dubost
Hendrik Mattern
Marleen de Bruijne
Oliver Speck
Andreas Nürnberger
26
18
0
18 Jun 2020
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Pushpak Pati
A. Foncubierta-Rodríguez
Orçun Göksel
M. Gabrani
19
6
0
17 Jun 2020
Gradient Amplification: An efficient way to train deep neural networks
Gradient Amplification: An efficient way to train deep neural networks
S. Basodi
Chunyan Ji
Haiping Zhang
Yi Pan
ODL
12
112
0
16 Jun 2020
An empirical study on using CNNs for fast radio signal prediction
An empirical study on using CNNs for fast radio signal prediction
Ozan Ozyegen
Sanaz Mohammadjafari
Karim El mokhtari
Mucahit Cevik
J. Ethier
Ayse Basar
18
12
0
16 Jun 2020
Adversarial representation learning for synthetic replacement of private
  attributes
Adversarial representation learning for synthetic replacement of private attributes
John Martinsson
Edvin Listo Zec
D. Gillblad
Olof Mogren
PICV
22
8
0
14 Jun 2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning
  Approach
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari
R. Sali
L. Ehsan
W. Adorno
Asad Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald Brown
23
56
0
12 Jun 2020
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy
  on Biopsy Images using Deep Learning Approaches
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Kamran Kowsari
30
2
0
11 Jun 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems:
  Unexplored Factors
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
...
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
AAML
MedIm
21
3
0
11 Jun 2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational
  Transformers
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers
Tim Z. Xiao
Aidan Gomez
Y. Gal
UQLM
17
33
0
08 Jun 2020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image
  Segmentation
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha
Michael A. Riegler
Dag Johansen
Pål Halvorsen
Haavard D. Johansen
SSeg
14
586
0
08 Jun 2020
Deep Sequential Feature Learning in Clinical Image Classification of
  Infectious Keratitis
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Ye-sheng Xu
Ming Kong
Wen-jia Xie
Run-Ping Duan
Zhengqing Fang
Yuxiao Lin
Qiang Zhu
Siliang Tang
Fei Wu
Yu-feng Yao
MedIm
19
53
0
04 Jun 2020
Attention-Guided Discriminative Region Localization and Label
  Distribution Learning for Bone Age Assessment
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
Chao Chen
Zhihong Chen
Xinyu Jin
Lanjuan Li
W. Speier
C. Arnold
6
4
0
30 May 2020
Machine Learning for Condensed Matter Physics
Machine Learning for Condensed Matter Physics
Edwin Bedolla
L. C. Padierna
R. Castañeda-Priego
AI4CE
28
66
0
28 May 2020
Adversarial Attacks and Defense on Texts: A Survey
Adversarial Attacks and Defense on Texts: A Survey
A. Huq
Mst. Tasnim Pervin
AAML
14
21
0
28 May 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
23
17
0
28 May 2020
An ENAS Based Approach for Constructing Deep Learning Models for Breast
  Cancer Recognition from Ultrasound Images
An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images
Mohammed Ahmed
H. Du
A. AlZoubi
41
8
0
27 May 2020
Precisely Predicting Acute Kidney Injury with Convolutional Neural
  Network Based on Electronic Health Record Data
Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data
Yu Wang
J. Bao
Jianqiang Du
Yongfeng Li
25
2
0
27 May 2020
Multi-task deep learning for image segmentation using recursive
  approximation tasks
Multi-task deep learning for image segmentation using recursive approximation tasks
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Mark Kirkland
P. Schuetz
Carola-Bibiane Schönlieb
SSeg
35
17
0
26 May 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease
  Dependencies and Uncertainty Labels
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels
Hieu H. Pham
T. Le
Dat Ngo
Dat Q. Tran
H. Nguyen
31
163
0
25 May 2020
Vulnerability of deep neural networks for detecting COVID-19 cases from
  chest X-ray images to universal adversarial attacks
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks
Hokuto Hirano
K. Koga
Kazuhiro Takemoto
AAML
27
47
0
22 May 2020
Polarimetric image augmentation
Polarimetric image augmentation
Marc Blanchon
Olivier Morel
F. Mériaudeau
R. Seulin
Désiré Sidibé
16
5
0
22 May 2020
Bridging the gap between Natural and Medical Images through Deep
  Colorization
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
MedIm
31
15
0
21 May 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised
  Disease Localisation and Classification
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
Renato Hermoza
Gabriel Maicas
Jacinto C. Nascimento
G. Carneiro
29
22
0
21 May 2020
Deep Learning-Based Automated Image Segmentation for Concrete
  Petrographic Analysis
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis
Yu Song
Zilong Huang
Chuanyue Shen
Humphrey Shi
D. Lange
SSeg
29
80
0
21 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier
  Test Input Generation
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
Sungmin Kang
R. Feldt
S. Yoo
AAML
26
32
0
19 May 2020
Separation of Memory and Processing in Dual Recurrent Neural Networks
Separation of Memory and Processing in Dual Recurrent Neural Networks
Christian Oliva
Luis F. Lago-Fernández
31
1
0
17 May 2020
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive
  Tweets Using Weighted Ensemble and Fine-Tuned BERT
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT
Saja Khaled Tawalbeh
Mahmoud M. Hammad
Mohammad Al-Smadi
6
12
0
15 May 2020
A Learning-from-noise Dilated Wide Activation Network for denoising
  Arterial Spin Labeling (ASL) Perfusion Images
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
Danfeng Xie
Yiran Li
HanLu Yang
L. Bai
Lei Zhang
Ze Wang
AI4CE
6
2
0
15 May 2020
Guided interactive image segmentation using machine learning and color
  based data set clustering
Guided interactive image segmentation using machine learning and color based data set clustering
A. Friebel
T. Johann
D. Drasdo
S. Hoehme
34
2
0
15 May 2020
3D deformable registration of longitudinal abdominopelvic CT images
  using unsupervised deep learning
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
Maureen van Eijnatten
L. Rundo
K. Batenburg
F. Lucka
E. Beddowes
C. Caldas
F. Gallagher
Evis Sala
Carola-Bibiane Schönlieb
Ramona Woitek
37
14
0
15 May 2020
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of
  COVID-19
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19
Sampa Misra
Seungwan Jeon
Seiyon Lee
R. Managuli
Chulhong Kim
31
81
0
12 May 2020
Segmentation of Macular Edema Datasets with Small Residual 3D U-Net
  Architectures
Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures
Jonathan Frawley
Chris G. Willcocks
M. Habib
Caspar Geenen
D. Steel
B. Obara
12
2
0
10 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang
Mingliang Wang
Mingxia Liu
Daoqiang Zhang
23
155
0
10 May 2020
Predicting Scores of Medical Imaging Segmentation Methods with
  Meta-Learning
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning
Tom van Sonsbeek
Veronika Cheplygina
23
2
0
08 May 2020
Source-Relaxed Domain Adaptation for Image Segmentation
Source-Relaxed Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
33
84
0
07 May 2020
Deep Learning on Point Clouds for False Positive Reduction at Nodule
  Detection in Chest CT Scans
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
I. Drokin
Elena Ericheva
3DPC
28
8
0
07 May 2020
Multi-task pre-training of deep neural networks for digital pathology
Multi-task pre-training of deep neural networks for digital pathology
Romain Mormont
Pierre Geurts
R. Marée
8
50
0
05 May 2020
On Interpretability of Deep Learning based Skin Lesion Classifiers using
  Concept Activation Vectors
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
MedIm
165
64
0
05 May 2020
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