ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.09104
  4. Cited By
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"

32 / 182 papers shown
Title
Unsupervised Local Discrimination for Medical Images
Unsupervised Local Discrimination for Medical Images
Huai Chen
Renzhen Wang
Xiuying Wang
Jieyu Li
Qu Fang
Hui Li
Jianhao Bai
Qing Peng
Deyu Meng
Lisheng Wang
SSL
11
7
0
21 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
33
83
0
19 Aug 2021
Deep Learning-based Biological Anatomical Landmark Detection in
  Colonoscopy Videos
Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
Kaiwei Che
Chengwei Ye
Yibing Yao
Nachuan Ma
Ruo Zhang
Jiankun Wang
M. Meng
MedIm
8
3
0
06 Aug 2021
Shallow Attention Network for Polyp Segmentation
Shallow Attention Network for Polyp Segmentation
JunChao Wei
Yiwen Hu
Ruimao Zhang
Zhen Li
S.Kevin Zhou
Shuguang Cui
14
259
0
02 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
17
42
0
20 Jul 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning
  for 2D medical image classification
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Irma van den Brandt
F. Fok
B. Mulders
Joaquin Vanschoren
V. Cheplygina
11
4
0
13 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in
  Cardiovascular Disease
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Akis Linardos
Kaisar Kushibar
S. Walsh
P. Gkontra
Karim Lekadir
FedML
13
61
0
07 Jul 2021
GAN-based Data Augmentation for Chest X-ray Classification
GAN-based Data Augmentation for Chest X-ray Classification
Shobhita Sundaram
Neha Hulkund
MedIm
17
35
0
07 Jul 2021
Chromatic and spatial analysis of one-pixel attacks against an image
  classifier
Chromatic and spatial analysis of one-pixel attacks against an image classifier
Janne Alatalo
Joni Korpihalkola
T. Sipola
T. Kokkonen
AAML
9
2
0
28 May 2021
Distributional Gaussian Process Layers for Outlier Detection in Image
  Segmentation
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
12
5
0
28 Apr 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
11
35
0
20 Apr 2021
Anatomy-guided Multimodal Registration by Learning Segmentation without
  Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and
  Registration
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou
Z. Augenfeld
Julius Chapiro
S. Kevin Zhou
Chi Liu
James S. Duncan
14
47
0
14 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting
  the Long-Tail of Unseen Conditions
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yun-hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
11
103
0
08 Apr 2021
A clinical validation of VinDr-CXR, an AI system for detecting abnormal
  chest radiographs
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs
N. H. Nguyen
H. Nguyen
N. T. Nguyen
T. Nguyen
Hieu H. Pham
T. N. Nguyen
14
8
0
06 Apr 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective
  Framework for Domain Adaptation
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
29
49
0
23 Mar 2021
Improving Generalizability in Limited-Angle CT Reconstruction with
  Sinogram Extrapolation
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Ce Wang
Haimiao Zhang
Qian Li
Kun Shang
Y. Lyu
Bin Dong
S. Kevin Zhou
10
12
0
09 Mar 2021
Universal Undersampled MRI Reconstruction
Universal Undersampled MRI Reconstruction
Xinwen Liu
Jing Wang
Feng Liu
S.Kevin Zhou
OOD
17
24
0
09 Mar 2021
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Y. Lyu
Jiajun Fu
Cheng-Fang Peng
S. Kevin Zhou
19
19
0
08 Mar 2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled
  Datasets
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
Pengbo Liu
Li Xiao
S. Kevin Zhou
CLL
8
12
0
08 Mar 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MA
OffRL
MedIm
8
146
0
05 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
14
58
0
28 Feb 2021
A Hierarchical Feature Constraint to Camouflage Medical Adversarial
  Attacks
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Qingsong Yao
Zecheng He
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
AAML
MedIm
20
16
0
17 Dec 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient
  Contextual Learning of MR Image Recovery
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Mahmut Yurt
Muzaffer Özbey
S. Dar
Berk Tınaz
K. Oguz
Tolga Çukur
MedIm
25
29
0
27 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
14
324
0
28 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated
  Using Progressively Growing GANs
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs
Bradley Max Segal
D. Rubin
G. Rubin
Adam Pantanowitz
MedIm
17
36
0
07 Oct 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
26
84
0
05 Sep 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image
  Reconstruction
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
Haimiao Zhang
Baodong Liu
Hengyong Yu
Bin Dong
6
58
0
30 May 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
22
17
0
27 May 2020
Joint Learning of Motion Estimation and Segmentation for Cardiac MR
  Image Sequences
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
C. Qin
Wenjia Bai
Jo Schlemper
S. Petersen
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
MedIm
51
156
0
11 Jun 2018
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
23
330
0
27 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,599
0
19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
Previous
1234