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A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

2 August 2020
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
ArXivPDFHTML

Papers citing "A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises"

50 / 182 papers shown
Title
DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis
DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis
Xian Wu
Shuxin Yang
Zhaopeng Qiu
Shen Ge
Yangtian Yan
Xingwang Wu
Yefeng Zheng
S. Kevin Zhou
Li Xiao
MedIm
15
20
0
12 Nov 2022
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful
  Representation from X-Ray Images
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representation from X-Ray Images
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
10
0
0
01 Nov 2022
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for
  Medical Image Segmentation
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
Zhendi Gong
Andrew P. French
Guoping Qiu
Xin Chen
ViT
MedIm
19
6
0
13 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray
  Classification
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
16
12
0
13 Oct 2022
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Cheng-Fang Peng
S. Kevin Zhou
Ramalingam Chellappa
OOD
53
7
0
11 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
18
45
0
09 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active
  Learning
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Liangyu Chen
Yutong Bai
Siyu Huang
Yongyi Lu
B. Wen
Alan Yuille
Zongwei Zhou
11
23
0
05 Oct 2022
Colonoscopy Landmark Detection using Vision Transformers
Colonoscopy Landmark Detection using Vision Transformers
Aniruddha Tamhane
Tseéla Mida
Erez Posner
Moshe Bouhnik
ViT
MedIm
47
5
0
22 Sep 2022
Robust Information Bottleneck for Task-Oriented Communication with
  Digital Modulation
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
Songjie Xie
Shuaijie Ma
Ming Ding
Yuanming Shi
Ming-Fu Tang
Youlong Wu
28
70
0
21 Sep 2022
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical
  Image Classification
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
Xiangzuo Huo
Gang Sun
Sheng Tian
Yan Wang
Long Yu
Jun Long
Wendong Zhang
Aolun Li
18
99
0
21 Sep 2022
Generalisability of fetal ultrasound deep learning models to
  low-resource imaging settings in five African countries
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Carla Sendra-Balcells
Víctor M. Campello
J. Torrents-Barrena
Yahya Ali Ahmed
Mustafa Elattar
...
E. Bonet
E. Eixarch
K. Mikolaj
M. Tolsgaard
Karim Lekadir
18
25
0
20 Sep 2022
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract
  Data
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data
Praneeth Nemani
Satyanarayana Vollala
ViT
MedIm
11
15
0
15 Sep 2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for
  Ophthalmic Images
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
Mingzhi Shi
Anagha Lokhande
Mojtaba Sedigh Fazli
Vishal Sharma
Yu Tian
...
Michael V. Boland
Nazlee Zebardast
D. Friedman
Lucy Q. Shen
Mengyu Wang
MedIm
15
1
0
02 Sep 2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New
  Benchmark Study
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
G. Holste
Song Wang
Ziyu Jiang
Thomas C. Shen
George Shih
Ronald M. Summers
Yifan Peng
Zhangyang Wang
LM&MA
24
37
0
29 Aug 2022
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
17
0
0
27 Jun 2022
Influence of uncertainty estimation techniques on false-positive
  reduction in liver lesion detection
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
MedIm
13
4
0
22 Jun 2022
Applications of Generative Adversarial Networks in Neuroimaging and
  Clinical Neuroscience
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang
V. Bashyam
Zhijian Yang
Fanyang Yu
Vasiliki Tassopoulou
...
Dushyant Sahoo
K. Nikita
Ahmed Abdulkadir
J. Wen
Christos Davatzikos
GAN
MedIm
AI4CE
20
45
0
14 Jun 2022
RPLHR-CT Dataset and Transformer Baseline for Volumetric
  Super-Resolution from CT Scans
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
Pengxin Yu
Haoyue Zhang
Han Kang
Wen Tang
C. Arnold
Rongguo Zhang
ViT
OOD
MedIm
20
17
0
13 Jun 2022
A Functional Information Perspective on Model Interpretation
A Functional Information Perspective on Model Interpretation
Itai Gat
Nitay Calderon
Roi Reichart
Tamir Hazan
AAML
FAtt
28
6
0
12 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site
  Prostate MRI Segmentation
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You
Jinlin Xiang
Kun Su
Xiaoran Zhang
Siyuan Dong
J. Onofrey
Lawrence H. Staib
James S. Duncan
CLL
20
51
0
03 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViT
OOD
MedIm
16
19
0
02 Jun 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Christoph Koller
Goran Kauermann
Xiao Xiang Zhu
UQCV
11
6
0
30 May 2022
Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
63
58
0
19 May 2022
Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz
Muhammad Anwaar Khalid
Rukhsana Zafar
Huma Ameer
M. Ali
M. Fraz
MedIm
9
59
0
29 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection
  based on Clustering in the Embedding Space
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
Poulami Sinhamahapatra
Rajat Koner
Karsten Roscher
Stephan Günnemann
OODD
9
5
0
16 Mar 2022
SATr: Slice Attention with Transformer for Universal Lesion Detection
SATr: Slice Attention with Transformer for Universal Lesion Detection
Hantao Li
Long Chen
H. Han
S. Kevin Zhou
ViT
MedIm
25
25
0
13 Mar 2022
DATR: Domain-adaptive transformer for multi-domain landmark detection
DATR: Domain-adaptive transformer for multi-domain landmark detection
Heqin Zhu
Qingsong Yao
S. Kevin Zhou
ViT
MedIm
17
11
0
12 Mar 2022
Unsupervised Image Registration Towards Enhancing Performance and
  Explainability in Cardiac And Brain Image Analysis
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis
Chengjia Wang
Guang Yang
G. Papanastasiou
9
5
0
07 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided
  Normalisation
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Xinwen Liu
Jing Wang
Cheng-Fang Peng
Shekhar S. Chandra
Feng Liu
S. Kevin Zhou
OOD
17
6
0
07 Mar 2022
Rib Suppression in Digital Chest Tomosynthesis
Rib Suppression in Digital Chest Tomosynthesis
Yihua Sun
Qingsong Yao
Y. Lyu
Jianji Wang
Yi Xiao
H. Liao
S. Kevin Zhou
23
1
0
05 Mar 2022
3D endoscopic depth estimation using 3D surface-aware constraints
3D endoscopic depth estimation using 3D surface-aware constraints
Shang Zhao
Ce Wang
Qiyuan Wang
Yanzhe Liu
S. Kevin Zhou
14
1
0
04 Mar 2022
MixCL: Pixel label matters to contrastive learning
MixCL: Pixel label matters to contrastive learning
Jun Li
Quan Quan
S. Kevin Zhou
SSL
16
1
0
04 Mar 2022
Learning Incrementally to Segment Multiple Organs in a CT Image
Learning Incrementally to Segment Multiple Organs in a CT Image
Peng Liu
Xia Wang
Mengsi Fan
Hongli Pan
Minmin Yin
...
Xiaoying Zhao
Li Xiao
Liangjing Ding
Xingwang Wu
S. Kevin Zhou
CLL
16
22
0
04 Mar 2022
Universal Segmentation of 33 Anatomies
Universal Segmentation of 33 Anatomies
Peng Liu
Yang Deng
Ce Wang
Yuan Hui
Qian Li
...
You Hao
Honghu Xiao
Chunpeng Zhao
Xin Wu
S. Kevin Zhou
13
9
0
04 Mar 2022
Relative distance matters for one-shot landmark detection
Relative distance matters for one-shot landmark detection
Qingsong Yao
Jianji Wang
Yihua Sun
Quan Quan
Heqin Zhu
S. Kevin Zhou
8
6
0
03 Mar 2022
Translational Lung Imaging Analysis Through Disentangled Representations
Translational Lung Imaging Analysis Through Disentangled Representations
P. M. Gordaliza
J. J. Vaquero
A. Muñoz-Barrutia
MedIm
11
3
0
03 Mar 2022
Neural Score Matching for High-Dimensional Causal Inference
Neural Score Matching for High-Dimensional Causal Inference
Oscar Clivio
Fabian Falck
B. Lehmann
George Deligiannidis
Chris Holmes
CML
20
8
0
01 Mar 2022
Precision-medicine-toolbox: An open-source python package for
  facilitation of quantitative medical imaging and radiomics analysis
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
S. Primakov
E. Lavrova
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
LM&MA
MedIm
4
8
0
28 Feb 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
660
0
24 Jan 2022
Radiology Report Generation with a Learned Knowledge Base and
  Multi-modal Alignment
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
Shuxin Yang
Xian Wu
Shen Ge
S.Kevin Zhou
Li Xiao
MedIm
25
90
0
30 Dec 2021
Knowledge Matters: Radiology Report Generation with General and Specific
  Knowledge
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
Shuxin Yang
Xian Wu
Shen Ge
S.Kevin Zhou
Li Xiao
MedIm
17
109
0
30 Dec 2021
Which images to label for few-shot medical landmark detection?
Which images to label for few-shot medical landmark detection?
Quan Quan
Qingsong Yao
Jun Li
S. Kevin Zhou
24
24
0
07 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior
  Predictive Checks with Deep Learning
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning
Achintya Gopal
UQCV
17
1
0
02 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
26
414
0
24 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAML
MedIm
11
2
0
22 Nov 2021
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram
  Restoration in Sparse-View CT Reconstruction
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
Ce Wang
Kun Shang
Haimiao Zhang
Qian Li
Yuan Hui
S. Kevin Zhou
ViT
MedIm
8
26
0
21 Nov 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using
  Transformers in 3D Medical Imaging
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
Dong Yang
Andriy Myronenko
Xiaosong Wang
Ziyue Xu
H. Roth
Daguang Xu
ViT
MedIm
3DV
18
22
0
15 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using
  Task-Agnostic Training
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Sangjoon Park
Gwanghyun Kim
Jeongsol Kim
Boah Kim
Jong Chul Ye
ViT
FedML
MedIm
20
30
0
02 Nov 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with
  Diverse Dataset
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian
Yunmei Chen
X. Ye
Qingchao Zhang
28
25
0
02 Oct 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
32
173
0
17 Sep 2021
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