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COVID-CT-Dataset: A CT Scan Dataset about COVID-19

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

30 March 2020
Xingyi Yang
Xuehai He
Jinyu Zhao
Yichen Zhang
Shanghang Zhang
P. Xie
ArXivPDFHTML

Papers citing "COVID-CT-Dataset: A CT Scan Dataset about COVID-19"

50 / 125 papers shown
Title
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Evangelia Christodoulou
Annika Reinke
Pascaline Andrè
Patrick Godau
P. Kalinowski
...
Amber L. Simpson
A. Kopp-Schneider
Gaël Varoquaux
O. Colliot
Lena Maier-Hein
38
0
0
07 May 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Yuezhe Yang
Boyu Yang
Yaqian Wang
Yang He
Xingbo Dong
Zhe Jin
38
0
0
15 Apr 2025
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images
S. Sharif
R. A. Naqvi
Woong-Kee Loh
67
5
0
10 Mar 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang
Kwang-Ting Cheng
MedIm
20
0
0
03 Jan 2025
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
31
1
0
29 Sep 2024
Analyzing Tumors by Synthesis
Analyzing Tumors by Synthesis
Qi Chen
Yuxiang Lai
Xiaoxi Chen
Qixin Hu
Alan Yuille
Zongwei Zhou
33
3
0
09 Sep 2024
Reprogramming Distillation for Medical Foundation Models
Reprogramming Distillation for Medical Foundation Models
Yuhang Zhou
Siyuan Du
Haolin Li
Jiangchao Yao
Ya Zhang
Yanfeng Wang
46
2
0
09 Jul 2024
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning
  for Medical Diagnosis
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
Mingyuan Liu
Lu Xu
Shengnan Liu
Jicong Zhang
46
1
0
28 May 2024
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image
  Synthesis
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
Zhihan Ju
Wanting Zhou
Longteng Kong
Yu Chen
Yi Li
Zhenan Sun
Caifeng Shan
MedIm
29
1
0
08 May 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
Low-Rank Knowledge Decomposition for Medical Foundation Models
Yuhang Zhou
Haolin Li
Siyuan Du
Jiangchao Yao
Ya-Qin Zhang
Yanfeng Wang
28
3
0
26 Apr 2024
GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing
  Sparsity, Trained from Scratch on Small Datasets
GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets
Dongjing Shan
guiqiang chen
ViT
45
0
0
07 Apr 2024
Non-negative Subspace Feature Representation for Few-shot Learning in
  Medical Imaging
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
Keqiang Fan
Xiaohao Cai
M. Niranjan
25
0
0
03 Apr 2024
Empowering Medical Imaging with Artificial Intelligence: A Review of
  Machine Learning Approaches for the Detection, and Segmentation of COVID-19
  Using Radiographic and Tomographic Images
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
Sayed Amir Mousavi Mobarakeh
K. Kazemi
A. Aarabi
H. Danyali
32
2
0
13 Jan 2024
Distance Guided Generative Adversarial Network for Explainable Binary
  Classifications
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong
Yue Sun
Xiaohong Liu
Wei Ke
C. Lam
...
Hui Xie
Tong Tong
Qinquan Gao
Haoming Chen
Tao Tan
GAN
15
0
0
29 Dec 2023
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
Ismail Elbouknify
A. Bouhoute
Khalid Fardousse
Ismail Berrada
Abdelmajid Badri
22
1
0
24 Nov 2023
A Parameterized Generative Adversarial Network Using Cyclic Projection
  for Explainable Medical Image Classification
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification
Xiangyu Xiong
Yue Sun
Xiaohong Liu
C. Lam
Tong Tong
Haoming Chen
Qinquan Gao
Wei Ke
Tao Tan
GAN
MedIm
41
4
0
24 Nov 2023
A Systematic Review of Deep Learning-based Research on Radiology Report
  Generation
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
32
15
0
23 Nov 2023
Cross-dataset domain adaptation for the classification COVID-19 using
  chest computed tomography images
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images
R. Ouni
H. Alhichri
OOD
11
1
0
14 Nov 2023
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for
  COVID-19 Detection
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection
Basma Jumaa Saleh
Zaid Omar
V. Bhateja
L. I. Izhar
4
1
0
22 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder
  Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Daniel Wolf
Tristan Payer
C. Lisson
C. Lisson
Meinrad Beer
Michael Götz
Timo Ropinski
35
15
0
12 Aug 2023
Multi-task learning for classification, segmentation, reconstruction,
  and detection on chest CT scans
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans
Weronika Hryniewska-Guzik
Maria Kkedzierska
P. Biecek
21
1
0
02 Aug 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
21
142
0
24 Jul 2023
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
Zihao Zhao
Sheng Wang
Jinchen Gu
Yitao Zhu
Lanzhuju Mei
Zixu Zhuang
Zhiming Cui
Qian Wang
Dinggang Shen
LM&MA
31
36
0
25 May 2023
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
32
9
0
19 May 2023
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image
  Stacks
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks
Sohini Roychowdhury
35
1
0
05 Apr 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
38
16
0
27 Mar 2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and
  Decision Making in Medical Imaging
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging
D. Kollias
Anastasios Arsenos
Stefanos D. Kollias
AI4CE
34
35
0
01 Mar 2023
Pre-text Representation Transfer for Deep Learning with Limited
  Imbalanced Data : Application to CT-based COVID-19 Detection
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection
F. Altaf
Syed Mohammed Shamsul Islam
N. Janjua
Naveed Akhtar
MedIm
AI4TS
19
1
0
21 Jan 2023
Masked autoencoders are effective solution to transformer data-hungry
Masked autoencoders are effective solution to transformer data-hungry
Jia-ju Mao
Honggu Zhou
Xuesong Yin
Binling Nie
MedIm
32
6
0
12 Dec 2022
Vision Transformers in Medical Imaging: A Review
Vision Transformers in Medical Imaging: A Review
Emerald U. Henry
Onyeka Emebob
C. Omonhinmin
ViT
MedIm
24
34
0
18 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
29
222
0
15 Nov 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans
  Classification
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu
S. Stirenko
39
2
0
11 Oct 2022
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for
  Cross-Dataset Medical Image Analysis
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian
Javier A. Montoya-Zegarra
Jonathan Gruss
Yves D. Stebler
A. S. Bozkir
M. Calandri
Friedhelm Schwenker
Thilo Stadelmann
MedIm
10
3
0
19 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis
Recent Progress in Transformer-based Medical Image Analysis
Zhao-cheng Liu
Qiujie Lv
Ziduo Yang
Yifan Li
Chau Hung Lee
Leizhao Shen
MedIm
42
56
0
13 Aug 2022
Improving COVID-19 CT Classification of CNNs by Learning
  Parameter-Efficient Representation
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation
Yujia Xu
Hak-Keung Lam
Guangyu Jia
Jian Jiang
J. Liao
Xinqi Bao
OOD
25
70
0
09 Aug 2022
A review of Deep learning Techniques for COVID-19 identification on Chest CT images
S. BrisklineKiruba
A. Petchiammal
D. Murugan
22
1
0
29 Jul 2022
Unsupervised Contrastive Learning of Image Representations from
  Ultrasound Videos with Hard Negative Mining
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Soumen Basu
Somanshu Singla
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
AI4TS
26
13
0
26 Jul 2022
COVID-19 Disease Identification on Chest-CT images using CNN and VGG16
COVID-19 Disease Identification on Chest-CT images using CNN and VGG16
S. BrisklineKiruba
A. Petchiammal
D. Murugan
25
1
0
09 Jul 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in
  Computerized Tomography and X-ray Images
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images
A. Chaddad
Lama Hassan
Christian Desrosiers
30
24
0
04 Jun 2022
Deep learning pipeline for image classification on mobile phones
Deep learning pipeline for image classification on mobile phones
Muhammad Muneeb
Samuel F. Feng
A. Henschel
MedIm
6
9
0
31 May 2022
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19
  Diagnosis and Differentiation
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation
Iraj Abedi
Mahsa Vali
Bentolhoda Otroshi Shahreza
Maryam Zamanian
Hamidreza Bolhasani
14
4
0
06 May 2022
Full-Spectrum Out-of-Distribution Detection
Full-Spectrum Out-of-Distribution Detection
Jingkang Yang
Kaiyang Zhou
Ziwei Liu
OODD
23
57
0
11 Apr 2022
Prediction of COVID-19 using chest X-ray images
Prediction of COVID-19 using chest X-ray images
Narayana Darapaneni
Suma Maram
Harpreet Singh
S. Subhani
M. Kour
Sathish Nagam
A. Paduri
17
1
0
08 Apr 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
18
59
0
29 Mar 2022
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection
  in Medical Image Analysis
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Khiem H. Le
Tuan V. Tran
Hieu H. Pham
Hieu T. Nguyen
T. Le
H. Nguyen
11
24
0
20 Mar 2022
POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT
  Scans: A Comparison of Deep Learning Models
POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models
Aeyan Ashraf
Asad U. Malik
Zahid Khan
6
2
0
17 Mar 2022
Explanatory Paradigms in Neural Networks
Explanatory Paradigms in Neural Networks
Ghassan AlRegib
Mohit Prabhushankar
FAtt
XAI
6
12
0
24 Feb 2022
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving
  Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and
  Cholesterol Dataset
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
Yoo Jeong Ha
Gusang Lee
M. Yoo
Soyi Jung
Seehwan Yoo
Joongheon Kim
OOD
25
25
0
21 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
31
48
0
13 Feb 2022
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