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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:

Automated segmentation of chronic stroke lesion using efficient U-Net architecture
Hyunkwang Shin, Rockson Agyeman, Muhammad Rafiq, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 285-294
Closed Access | Times Cited: 17

Showing 17 citing articles:

A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases
Bilal Bayram, İsmail Kunduracıoğlu, Suat İnce, et al.
Neuroscience (2025)
Closed Access | Times Cited: 3
Deep Learning-Enabled Brain Stroke Classification on Computed Tomography營mages
Azhar Tursynova, Батырхан Омаров, N. I. Tukenova, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 1431-1446
Open Access | Times Cited: 25
Hybrid deep learning based stroke detection using CT images with routing in an IoT environment
Anchana Balakrishnannair Sreekumari, Arul Teen Yesudasan Paulsy
Network Computation in Neural Systems (2025), pp. 1-40
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
Segmentation of stroke lesions using transformers‐augmented MRI analysis
Ramsha Ahmed, Aamna Al Shehhi, Naoufel Werghi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 11
Open Access | Times Cited: 2
A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation
Zhihua Li, Qiwei Xing, Yanfang Li, et al.
IEEE Access (2023) Vol. 11, pp. 66050-66062
Open Access | Times Cited: 4
Real-Time Multi-Human Parsing on Embedded Devices
Rockson Agyeman, Bernhard Rinner
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)
Closed Access | Times Cited: 1
Artificial intelligence for localization of the acute ischemic stroke by non-contrast computed tomography
Natsuda Kaothanthong, Kamin Atsavasirilert, Soawapot Sarampakhul, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0277573-e0277573
Open Access | Times Cited: 6
A computer-aided tool for automatic volume estimation of hematoma using non-contrast brain CT scans
Manas Kumar Nag, Subhranil Koley, Anup Sadhu, et al.
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 4, pp. 045011-045011
Closed Access | Times Cited: 3
Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study
Gourav Kumar Sharma, Santosh Kumar, Virender Ranga, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 43539-43575
Closed Access | Times Cited: 3
Brain Lesion Image Segmentation Using Modified U-NET Architecture
Xin Yin Lee, Mohd Jamil Mohamed Mokhtarudin, Ramli Junid
Lecture notes in networks and systems (2024), pp. 549-555
Closed Access
Classification of Brain Strokes in Computed Tomography Images Utilizing Deep Learning
Azhar Tursynova, Айвар Сахипов, Islam Omirzak, et al.
(2024), pp. 328-333
Closed Access
COMPARATIVE ANALYSIS OF THE ENSEMBLE MODEL FOR STROKE CLASSIFICATION
Azhar Tursynova, Батырхан Омаров
BULLETIN Series of Physics & Mathematical Sciences (2024) Vol. 88, Iss. 4
Closed Access
İskemik İnme Lezyon Segmentasyonunda Segmentasyon Ağlarının ve Kayıp Fonksiyonlarının Etkilerinin Analizi
Ahmet Furkan BAYRAM, Alperen DERİN, Caglar GURKAN, et al.
European Journal of Science and Technology (2022)
Open Access | Times Cited: 2
U-Net Tuning Hyperparameter for Segmentation in Amniotic Fluid Ultrasonography Image
Putu Desiana Wulaning Ayu, Gede Angga Pradipta
2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) (2022), pp. 1-6
Closed Access | Times Cited: 2
Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks
Britney Campbell, Dhruv Yadav, Ramy Hussein, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11820-11820
Open Access
Improved Attention U-Net Combined with Conditional Random Field for Ischemic Lesion Segmentation from Magnetic Resonance Images
Ali Reza Rezaei, Asieh Khosravanian, Habibollah Danyali, et al.
(2023), pp. 920-924
Closed Access
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