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 lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images
Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107157-107157
Closed Access | Times Cited: 15

Showing 15 citing articles:

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans
Hulin Kuang, Yahui Wang, Jin Liu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2303-2316
Closed Access | Times Cited: 15

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
Shokofeh Anari, Soroush Sadeghi, Ghazaal Sheikhi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2

Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions
Zhen Kang, Enhua Xiao, Zhen Li, et al.
Academic Radiology (2024) Vol. 31, Iss. 6, pp. 2412-2423
Closed Access | Times Cited: 10

Multi-scale dual-channel feature embedding decoder for biomedical image segmentation
Rohit Agarwal, Palash Ghosal, Anup Sadhu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108464-108464
Closed Access | Times Cited: 7

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation
Rohit Agarwal, A. M. Mahmud Chowdhury, Rajib Kumar Chatterjee, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7195-7205
Closed Access | Times Cited: 5

Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network
Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh
AI (2025) Vol. 6, Iss. 1, pp. 15-15
Open Access

Attention-based Fusion for Stroke Lesion Segmentation on Computed Tomography Perfusion Data
Chintha Sri Pothu Raju, Rabul Hussain Laskar, Zulfiqar Ali, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access

An appraisal of the performance of AI tools for chronic stroke lesion segmentation
Ramsha Ahmed, Aamna Al Shehhi, Bilal Hassan, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107302-107302
Closed Access | Times Cited: 9

MDANet: Multimodal difference aware network for brain stroke segmentation
Kezhi Zhang, Yu Zhu, Hangyu Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106383-106383
Closed Access | Times Cited: 2

LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT
Sanjib Saha, Debashis Nandi
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 3

Modified ResNet152v2: Binary Classification and Hybrid Segmentation of Brain Stroke Using Transfer Learning-Based Approach
N. Parimala, G. Muneeswari
Polish Journal of Medical Physics And Engineering (2024) Vol. 30, Iss. 1, pp. 24-35
Open Access

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data
Chintha Sri Pothu Raju, Bala Chakravarthy Neelapu, Rabul Hussain Laskar, et al.
Multimedia Tools and Applications (2024)
Closed Access

[Ischemic stroke infarct segmentation model based on depthwise separable convolution for multimodal magnetic resonance imaging].
Yidong Jin, Mengfei Wang, Jingjing Chen, et al.
PubMed (2024) Vol. 41, Iss. 3, pp. 535-543
Closed Access

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