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Exploring the Effect of Image Enhancement Techniques on COVID-19
  Detection using Chest X-rays Images

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

Computers in Biology and Medicine (Comput Biol Med), 2020
25 November 2020
Tawsifur Rahman
Amith Khandakar
Yazan Qiblawey
Anas Tahir
S. Kiranyaz
S. Kashem
M. Islam
S. Al-Maadeed
S. Zughaier
Muhammad Salman Khan
M. Chowdhury
ArXiv (abs)PDFHTML

Papers citing "Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images"

50 / 109 papers shown
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
High-Order Progressive Trajectory Matching for Medical Image Dataset DistillationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Le Dong
Jinghao Bian
Jingyang Hou
Jingliang Hu
Yilei Shi
Weisheng Dong
X. Zhu
Lichao Mou
DDMedIm
233
0
0
29 Sep 2025
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
Ruilang Wang
Shuotong Xu
Bowen Liu
Runlin Huang
Donglong Chen
Weifeng Su
247
0
0
27 Sep 2025
Calibration-Aware Prompt Learning for Medical Vision-Language Models
Calibration-Aware Prompt Learning for Medical Vision-Language Models
Abhishek Basu
Fahad Shamshad
Ashshak Sharifdeen
Karthik Nandakumar
Muhammad Haris Khan
AAMLVLM
163
0
0
18 Sep 2025
Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Siam Tahsin Bhuiyan
Rashedur Rahman
Sefatul Wasi
Naomi Yagi
Syoji Kobashi
A. Najmul Islam
Saadia Binte Alam
MedIm
194
0
0
17 Sep 2025
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
Can Zhao
Pengfei Guo
Dong Yang
Yucheng Tang
Yufan He
Benjamin D. Simon
Mason J Belue
Stephanie Harmon
Baris Turkbey
Daguang Xu
MedIm
153
9
0
07 Aug 2025
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Lemar Abdi
Francisco Caetano
Amaan Valiuddin
Christiaan Viviers
Hamdi Joudeh
Fons van der Sommen
MedIm
199
0
0
31 Jul 2025
Full Conformal Adaptation of Medical Vision-Language Models
Full Conformal Adaptation of Medical Vision-Language ModelsInformation Processing in Medical Imaging (IPMI), 2025
Julio Silva-Rodríguez
Leo Fillioux
P. Cournède
Maria Vakalopoulou
Stergios Christodoulidis
Ismail Ben Ayed
Jose Dolz
VLM
216
6
0
06 Jun 2025
Shadow defense against gradient inversion attack in federated learning
Shadow defense against gradient inversion attack in federated learning
Le Jiang
Liyan Ma
Guang Yang
AAMLFedML
287
11
0
30 May 2025
PRS-Med: Position Reasoning Segmentation in Medical Imaging
PRS-Med: Position Reasoning Segmentation in Medical Imaging
Quoc-Huy Trinh
Minh-Van Nguyen
Jung Peng
Ulas Bagci
Debesh Jha
MedIm
647
7
0
17 May 2025
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Bin-Bin Gao
Yue Zhou
Jiangtao Yan
Y. Cai
Weinan Zhang
Meng Wang
Jun Liu
Wenshu Fan
Lei Wang
Chengjie Wang
VLM
345
18
0
15 May 2025
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
Yu-Jen Chen
Xueyang Li
Yiyu Shi
T. Ho
245
0
0
13 May 2025
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image ClassificationIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2025
Asmaa Abbas
M. Gaber
M. Abdelsamea
430
2
0
03 May 2025
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray DatasetsIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2025
Santanu Roy
Ashvath Suresh
Palak Sahu
Tulika Rudra Gupta
401
2
0
10 Apr 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?Information Processing in Medical Imaging (IPMI), 2025
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLMMedIm
345
2
0
07 Apr 2025
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
Abderrachid Hamrani
Anuradha Godavarty
MedIm
287
4
0
23 Mar 2025
Artificial Intelligence-Driven Prognostic Classification of COVID-19 Using Chest X-rays: A Deep Learning Approach
Artificial Intelligence-Driven Prognostic Classification of COVID-19 Using Chest X-rays: A Deep Learning Approach
Alfred Simbun
Suresh Kumar
323
0
0
17 Mar 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani
George Pappas
Aaron Roth
Hamed Hassani
623
29
0
04 Feb 2025
MedFILIP: Medical Fine-grained Language-Image Pre-training
MedFILIP: Medical Fine-grained Language-Image Pre-trainingIEEE journal of biomedical and health informatics (JBHI), 2025
Xinjie Liang
Xiangyu Li
Fanding Li
Jie Jiang
Qing Dong
Wei Wang
Kaidi Wang
Suyu Dong
Gongning Luo
Shuo Li
LM&MAVLMMedIm
385
11
0
18 Jan 2025
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal IntegrationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Chengyuan Li
Suyang Zhou
Jieping Kong
Lei Qi
Hui Xue
VLM
348
12
0
08 Jan 2025
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical ClassificationIndustrial Conference on Data Mining (IDM), 2024
Minhee Jang
Juheon Son
Thanaporn Viriyasaranon
Junho Kim
Jang-Hwan Choi
MedIm
409
1
0
17 Nov 2024
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray
  Images
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray ImagesInternational Multi-Conference on Systems, Signals & Devices (SSD), 2024
Omar Hesham Khater
Abdullahi Sani Shuaib
Sami Ul Haq
Abdul Jabbar Siddiqui
252
5
0
20 Oct 2024
From Lab to Pocket: A Novel Continual Learning-based Mobile Application
  for Screening COVID-19
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19
Danny Falero
Muhammad Ashad Kabir
Nusrat Homaira
370
2
0
16 Oct 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
Jiaming Song
Shaoting Zhang
LM&MAMedIm
365
9
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
410
36
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
Jiaming Song
Shaoting Zhang
LM&MA
306
11
0
29 Sep 2024
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
MedImVLM
948
41
0
28 Sep 2024
Self-Supervised Learning for Building Robust Pediatric Chest X-ray
  Classification Models
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
Sheng Cheng
Zbigniew A. Starosolski
Devika Subramanian
SSL
341
0
0
30 Aug 2024
PromptSmooth: Certifying Robustness of Medical Vision-Language Models
  via Prompt Learning
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Noor Hussein
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
AAML
366
14
0
29 Aug 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated
  Knowledge Injection
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionNeural Information Processing Systems (NeurIPS), 2024
Yuan Liu
Xiaochen Wang
Lingjuan Lyu
Jinghui Chen
Fenglong Ma
264
9
0
17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xiaochen Wang
Yuan Liu
Houping Xiao
Jianfei Chen
Fenglong Ma
MedIm
752
10
0
17 Aug 2024
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt
  Learning
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Asif Hanif
Fahad Shamshad
Muhammad Awais
Muzammal Naseer
Fahad Shahbaz Khan
Karthik Nandakumar
Salman Khan
Rao Muhammad Anwer
MedImAAML
317
12
0
14 Aug 2024
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for
  Deep Learning
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
Josiah D. Couch
R. Arnaout
Rima Arnaout
428
3
0
22 Jul 2024
Universal Medical Imaging Model for Domain Generalization with Data
  Privacy
Universal Medical Imaging Model for Domain Generalization with Data Privacy
Ahmed Radwan
Islam I. Osman
Mohamed S. Shehata
190
3
0
20 Jul 2024
Unleashing the Potential of Open-set Noisy Samples Against Label Noise
  for Medical Image Classification
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification
Zehui Liao
Shishuai Hu
Yong-quan Xia
288
1
0
18 Jun 2024
Early Stopping Criteria for Training Generative Adversarial Networks in
  Biomedical Imaging
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
Muhammad Muneeb Saad
M. H. Rehmani
Ruairi O'Reilly
331
4
0
31 May 2024
Disease-informed Adaptation of Vision-Language Models
Disease-informed Adaptation of Vision-Language Models
Jiajin Zhang
Ge Wang
Mannudeep K. Kalra
Pingkun Yan
VLM
341
10
0
24 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI
  Explanations?
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
Mateusz Cedro
Marcin Chlebus
348
1
0
14 May 2024
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image
  Segmentation
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
VLMMedIm
552
57
0
29 Mar 2024
Progressive trajectory matching for medical dataset distillation
Progressive trajectory matching for medical dataset distillation
Zhennaan Yu
Yang Liu
Qingchao Chen
DD
234
7
0
20 Mar 2024
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training
  with Masked Autoencoder
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Lei Li
Tianfang Zhang
Xinglin Zhang
Jiaqi Liu
Bingqi Ma
Yan-chun Luo
Tao Chen
MedIm
286
1
0
07 Mar 2024
Exploring Low-Resource Medical Image Classification with Weakly
  Supervised Prompt Learning
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt LearningPattern Recognition (Pattern Recogn.), 2024
Fudan Zheng
Jindong Cao
Weijiang Yu
Zhiguang Chen
Nong Xiao
Yutong Lu
VLMMedIm
280
43
0
06 Feb 2024
Exploring Intrinsic Properties of Medical Images for Self-Supervised
  Binary Semantic Segmentation
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
P. Singh
Jacopo Cirrone
336
0
0
04 Feb 2024
Importance-Aware Adaptive Dataset Distillation
Importance-Aware Adaptive Dataset DistillationNeural Networks (NN), 2024
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
372
18
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29 Jan 2024
Additional Look into GAN-based Augmentation for Deep Learning COVID-19
  Image Classification
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
Oleksandr Fedoruk
Konrad Klimaszewski
Aleksander Ogonowski
Michal Kruk
MedIm
337
10
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26 Jan 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
206
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Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A
  Pilot Study on MedCLIP
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
Ruinan Jin
Chun-Yin Huang
Chenyu You
Xiaoxiao Li
AAMLMedIm
224
6
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01 Jan 2024
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for
  Chest X-Ray Image Classification
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image ClassificationSoft Computing - A Fusion of Foundations, Methodologies and Applications (Soft Computing), 2024
Saurabh Agarwal
K. Arya
Y. Meena
243
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01 Jan 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MAMedIm
747
30
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26 Dec 2023
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark
  Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics
Yifan Wu
Hayden Gunraj
Chi-en Amy Tai
Alexander Wong
217
8
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29 Nov 2023
How much data do I need? A case study on medical data
How much data do I need? A case study on medical dataBigData Congress [Services Society] (BSS), 2023
Ayse Betul Cengiz
A. Mcgough
283
3
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