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COVID-19 Image Data Collection

COVID-19 Image Data Collection

25 March 2020
Joseph Paul Cohen
Paul Morrison
Lan Dao
ArXivPDFHTML

Papers citing "COVID-19 Image Data Collection"

50 / 195 papers shown
Title
Edge-Based Learning for Improved Classification Under Adversarial Noise
Edge-Based Learning for Improved Classification Under Adversarial Noise
Manish Kansana
Keyan Alexander Rahimi
Elias Hossain
Iman Dehzangi
Noorbakhsh Amiri Golilarz
AAML
34
0
0
25 Apr 2025
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
Wei Dai
Peilin Chen
Malinda Lu
Daniel Li
Haowen Wei
Hejie Cui
Paul Pu Liang
LM&MA
56
1
0
09 Mar 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
Lie Ju
Sijin Zhou
Yukun Zhou
Huimin Lu
Zhuoting Zhu
P. Keane
Zongyuan Ge
VLM
42
0
0
02 Mar 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection
Hossein Mirzaei
Mohammad Jafari
Hamid Reza Dehbashi
Zeinab Sadat Taghavi
Mohammad Sabokrou
M. Rohban
69
1
0
28 Jan 2025
Improving the network traffic classification using the Packet Vision
  approach
Improving the network traffic classification using the Packet Vision approach
Rodrigo Moreira
Larissa Ferreira Rodrigues
Pedro Frosi Rosa
F. O. Silva
37
2
0
26 Dec 2024
Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis
Ferhat Ozgur Catak
Murat Kuzlu
Taylor Patrick
88
0
0
24 Nov 2024
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
Baljinnyam Dayan
LM&MA
ViT
MedIm
61
0
0
18 Nov 2024
A foundation model for generalizable disease diagnosis in chest X-ray
  images
A foundation model for generalizable disease diagnosis in chest X-ray images
Lijian Xu
Ziyu Ni
Hao Sun
Hongsheng Li
Shaoting Zhang
LM&MA
MedIm
28
1
0
11 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
25
3
0
03 Oct 2024
MedViLaM: A multimodal large language model with advanced
  generalizability and explainability for medical data understanding and
  generation
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Lijian Xu
Hao Sun
Ziyu Ni
Hongsheng Li
Shaoting Zhang
LM&MA
34
3
0
29 Sep 2024
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
Alireza Saber
Pouria Parhami
Alimihammad Siahkarzadeh
Amirreza Fateh
Amirreza Fateh
ViT
MedIm
48
9
0
08 Aug 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
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
53
3
0
23 May 2024
CoVScreen: Pitfalls and recommendations for screening COVID-19 using
  Chest X-rays
CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays
Sonit Singh
28
1
0
13 May 2024
A Comprehensive Survey on Evaluating Large Language Model Applications
  in the Medical Industry
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
Yining Huang
Keke Tang
Meilian Chen
Boyuan Wang
ELM
LM&MA
21
14
0
24 Apr 2024
Improved EATFormer: A Vision Transformer for Medical Image
  Classification
Improved EATFormer: A Vision Transformer for Medical Image Classification
Yulong Shisu
Susano Mingwin
Yongshuai Wanwag
Zengqiang Chenso
Sunshin Huing
ViT
MedIm
32
0
0
19 Mar 2024
Density-based Isometric Mapping
Density-based Isometric Mapping
Bardia Yousefi
Mélina Khansari
Ryan Trask
Patrick Tallon
Carina Carino
...
Vikas Kundra
Lan Ma
Lei Ren
Keyvan Farahani
M. Hershman
21
0
0
04 Mar 2024
Faster ISNet for Background Bias Mitigation on Deep Neural Networks
Faster ISNet for Background Bias Mitigation on Deep Neural Networks
P. R. Bassi
S. Decherchi
Andrea Cavalli
22
0
0
16 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
27
11
0
26 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
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20
  Million masks
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
Jin Ye
Junlong Cheng
Jianpin Chen
Zhongying Deng
Tian-Xin Li
...
Hui Sun
Min Zhu
Shaoting Zhang
Junjun He
Yu Qiao
VLM
MedIm
29
37
0
20 Nov 2023
Robust and Interpretable Medical Image Classifiers via Concept
  Bottleneck Models
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models
An Yan
Yu-Xiang Wang
Yiwu Zhong
Zexue He
Petros Karypis
...
Chengyu Dong
Amilcare Gentili
Chun-Nan Hsu
Jingbo Shang
Julian McAuley
27
30
0
04 Oct 2023
Understanding Calibration of Deep Neural Networks for Medical Image
  Classification
Understanding Calibration of Deep Neural Networks for Medical Image Classification
A. Sambyal
Usma Niyaz
N. C. Krishnan
Deepti R. Bathula
14
7
0
22 Sep 2023
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for
  Unsupervised Medical Anomaly Detection
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
Yiming Huang
Guo-Shuai Liu
Yaoru Luo
Ge Yang
OOD
MedIm
16
2
0
29 Aug 2023
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis
  of Chest X-ray Images
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images
Sultan Zavrak
24
0
0
12 Jun 2023
DiffuseExpand: Expanding dataset for 2D medical image segmentation using
  diffusion models
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models
Shitong Shao
Xiaohan Yuan
Zhenming Huang
Ziming Qiu
Shuai Wang
Kevin Zhou
MedIm
DiffM
6
8
0
26 Apr 2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image
  Classification
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification
Smriti Regmi
A. Subedi
Ulas Bagci
Debesh Jha
ViT
MedIm
13
11
0
23 Apr 2023
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning
Zanobya N. Khan
11
2
0
09 Apr 2023
Vision Transformer-based Model for Severity Quantification of Lung
  Pneumonia Using Chest X-ray Images
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
Bouthaina Slika
Fadi Dornaika
H. Merdji
K. Hammoudi
ViT
MedIm
26
0
0
18 Mar 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative
  Adversarial Network
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Xiaojian Yuan
Kejiang Chen
Jie Zhang
Weiming Zhang
Neng H. Yu
Yangyi Zhang
26
34
0
20 Feb 2023
Shortcut Detection with Variational Autoencoders
Shortcut Detection with Variational Autoencoders
Nicolas M. Muller
Simon Roschmann
Shahbaz Khan
Philip Sperl
Konstantin Böttinger
AAML
DRL
29
1
0
08 Feb 2023
Explainable and Lightweight Model for COVID-19 Detection Using Chest
  Radiology Images
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images
S. Suba
N. Parekh
MedIm
22
0
0
28 Dec 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata
Saul Calderon-Ramirez
16
3
0
03 Nov 2022
Towards Reliable Zero Shot Classification in Self-Supervised Models with
  Conformal Prediction
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction
Bhawesh Kumar
Anil Palepu
Rudraksh Tuwani
Andrew L. Beam
20
8
0
27 Oct 2022
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
29
4
0
09 Sep 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
8
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
Comparative Analysis of State-of-the-Art Deep Learning Models for
  Detecting COVID-19 Lung Infection from Chest X-Ray Images
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
Zeba Ghaffar
Pir Masoom Shah
Hikmat Khan
Syed Farhan Alam Zaidi
Abdullah Gani
I. Khan
M. A. Shah
S. M. Fakhrul Islam
22
3
0
01 Jul 2022
On Calibrated Model Uncertainty in Deep Learning
On Calibrated Model Uncertainty in Deep Learning
Biraja Ghoshal
A. Tucker
UQCV
MedIm
25
10
0
15 Jun 2022
Machine learning approaches for COVID-19 detection from chest X-ray
  imaging: A Systematic Review
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
Harold Brayan Arteaga-Arteaga
Melissa delaPava
Alejandro Mora-Rubio
Mario Alejandro Bravo-Ortíz
Jesús Alejandro Alzate-Grisales
...
Simon Orozco-Arias
M. Hassaballah
South Valley University
O. Cardona-Morales
Valencia
OOD
11
1
0
11 Jun 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest
  X-ray Images for Computer-Aided COVID-19 Diagnostics
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
Maya Pavlova
Tia Tuinstra
Hossein Aboutalebi
Andy Zhao
Hayden Gunraj
Alexander Wong
21
12
0
08 Jun 2022
Image Data collection and implementation of deep learning-based model in
  detecting Monkeypox disease using modified VGG16
Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16
M. Ahsan
Muhammad Ramiz Uddin
Mithila Farjana
A. Sakib
Khondhaker Al Momin
Shahana Akter Luna
12
109
0
04 Jun 2022
Monkeypox Image Data collection
Monkeypox Image Data collection
M. Ahsan
Muhammad Ramiz Uddin
Shahana Akter Luna
LM&MA
OnRL
9
36
0
03 Jun 2022
Concept-level Debugging of Part-Prototype Networks
Concept-level Debugging of Part-Prototype Networks
A. Bontempelli
Stefano Teso
Katya Tentori
Fausto Giunchiglia
Andrea Passerini
17
52
0
31 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A
  Survey
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício
João C. Neves
Luís F. Teixeira
XAI
24
52
0
10 May 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
Translational Lung Imaging Analysis Through Disentangled Representations
Translational Lung Imaging Analysis Through Disentangled Representations
P. M. Gordaliza
J. J. Vaquero
A. Muñoz-Barrutia
MedIm
20
3
0
03 Mar 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A Review
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
D. Shen
ViT
MedIm
26
255
0
24 Feb 2022
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell
  Electrodes
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
S. B. Jensen
T. Moeslund
S. J. Andreasen
MedIm
19
1
0
15 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
21
48
0
13 Feb 2022
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