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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, et al.
Lecture notes in computer science (2021), pp. 3-13
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images
Md. Belal Hossain, Shahriar Iqbal, Md. Monirul Islam, et al.
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100916-100916
Open Access | Times Cited: 99
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao, Yutong Bai, Alan Yuille, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3577-3589
Open Access | Times Cited: 48
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20792-20802
Open Access | Times Cited: 59
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103086-103086
Closed Access | Times Cited: 8
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer
Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
Expert Systems with Applications (2022) Vol. 216, pp. 119452-119452
Open Access | Times Cited: 34
Medical Image Classifications for 6G IoT-Enabled Smart Health Systems
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 834-834
Open Access | Times Cited: 16
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism
Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102988-102988
Closed Access | Times Cited: 11
Analyzing to discover origins of CNNs and ViT architectures in medical images
Seungmin Oh, Namkug Kim, Jongbin Ryu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Automatic semantic segmentation and detection of vertebras and intervertebral discs by neural networks
Sylvain Guinebert, Eric Petit, Valérie Bousson, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100055-100055
Open Access | Times Cited: 17
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3619-3629
Open Access | Times Cited: 10
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Zeyu Fu, Jianbo Jiao, Robail Yasrab, et al.
Lecture notes in computer science (2023), pp. 422-436
Closed Access | Times Cited: 10
Automatic classification of ultrasound thyroids images using vision transformers and generative adversarial networks
Feres JERBI, Noura Aboudi, Nawrès Khlifa
Scientific African (2023) Vol. 20, pp. e01679-e01679
Open Access | Times Cited: 10
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review
Xinyu Ge, Jianxiong Gao, Rong Niu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
An Evaluation of Self-supervised Pre-training for Skin-Lesion Analysis
Levy Chaves, Alceu Bissoto, Eduardo Valle, et al.
Lecture notes in computer science (2023), pp. 150-166
Closed Access | Times Cited: 7
Explainability of deep learning models in medical video analysis: a survey
Michal Kolárik, Martin Sarnovský, Ján Paralič, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1253-e1253
Open Access | Times Cited: 7
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis
Trinh Thi Le Vuong, Jin Tae Kwak
Medical Image Analysis (2024) Vol. 101, pp. 103421-103421
Open Access | Times Cited: 2
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 12
DO WE STILL NEED IMAGENET PRE-TRAINING IN REMOTE SENSING SCENE CLASSIFICATION?
Vladimir Risojević, V. Stojnić
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. XLIII-B3-2022, pp. 1399-1406
Open Access | Times Cited: 11
Benchmarking and Boosting Transformers for Medical Image Classification
DongAo Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, et al.
Lecture notes in computer science (2022), pp. 12-22
Open Access | Times Cited: 10
Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models
Francisco Carrillo‐Pérez, Marija Pizurica, Michael G. Ozawa, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 8, pp. 100534-100534
Open Access | Times Cited: 5
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Lecture notes in computer science (2023), pp. 94-104
Open Access | Times Cited: 5
Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture
M. Padma Usha, G. Kannan, M. Ramamoorthy
Behavioural Neurology (2024) Vol. 2024, pp. 1-16
Open Access | Times Cited: 1
Deep metric learning for few-shot X-ray image classification
Jakub Prokop, Javier Montalt‐Tordera, Joanna Jaworek-Korjakowska, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification
Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Waibel, et al.
Lecture notes in computer science (2022), pp. 355-365
Closed Access | Times Cited: 5
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis
Jiaxuan Pang, Fatemeh Haghighi, DongAo Ma, et al.
Lecture notes in computer science (2022), pp. 77-87
Open Access | Times Cited: 5
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