Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks
Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, et al.
IEEE Access (2020) Vol. 8, pp. 94871-94879
Open Access | Times Cited: 30

Showing 1-25 of 30 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: 17
Supervised machine learning tools: a tutorial for clinicians
Lucas Lo Vercio, Kimberly Amador, Jordan J. Bannister, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 116
Artificial intelligence in stroke imaging: Current and future perspectives
Vivek Yedavalli, Elizabeth Tong, Dann Martin, et al.
Clinical Imaging (2020) Vol. 69, pp. 246-254
Closed Access | Times Cited: 62
EfficientNetB0 for Brain Stroke Classification on Computed Tomography Scan
Charmy H Patel, Devang Undaviya, Harsh Dave, et al.
(2023)
Closed Access | Times Cited: 20
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks
Kimberly Amador, Matthias Wilms, Anthony Winder, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102610-102610
Closed Access | Times Cited: 23
How many specimens make a sufficient training set for automated three-dimensional feature extraction?
James M. Mulqueeney, Alex Searle‐Barnes, Anieke Brombacher, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 6
Open Access | Times Cited: 5
Brain tumor detection and tracking using fast R-CNN based feature extraction method
Thekkethil Bino, S. Ramya, K. Ramar, et al.
AIP conference proceedings (2025) Vol. 3266, pp. 020017-020017
Closed Access
How many specimens make a sufficient training set for automated 3D feature extraction?
James M. Mulqueeney, Alex Searle‐Barnes, Anieke Brombacher, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
UCATR: Based on CNN and Transformer Encoding and Cross-Attention Decoding for Lesion Segmentation of Acute Ischemic Stroke in Non-contrast Computed Tomography Images
Chun Luo, Jing Zhang, Xinglin Chen, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021)
Closed Access | Times Cited: 18
Challenges and opportunities in applying AI to evolutionary morphology
Yichen He, James M. Mulqueeney, Emily Watt, et al.
(2024)
Open Access | Times Cited: 2
Stroke detection in the brain using MRI and deep learning models
Subba Rao Polamurı
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
CNN and XGBoost for Automatic Segmentation of Stroke Lesions using CT Data
Sada Anne, Amadou Dahirou Gueye
Procedia Computer Science (2024) Vol. 237, pp. 72-79
Open Access | Times Cited: 2
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. V. Dobshik, Sergey Verbitskiy, Igor A. Pestunov, et al.
Computer Optics (2023) Vol. 47, Iss. 5, pp. 770-777
Open Access | Times Cited: 5
Automated Cerebral Infarct Detection on Computed Tomography Images Based on Deep Learning
Syu‐Jyun Peng, Yu‐Wei Chen, Jingyu Yang, et al.
Biomedicines (2022) Vol. 10, Iss. 1, pp. 122-122
Open Access | Times Cited: 8
Automatic Ischemic Core Estimation Based on Noncontrast-Enhanced Computed Tomography
Hidehisa Nishi, Akira Ishii, Hirofumi Tsuji, et al.
Stroke (2023) Vol. 54, Iss. 7, pp. 1815-1822
Closed Access | Times Cited: 4
Toward automated segmentation for acute ischemic stroke using non-contrast computed tomography
Shih‐Yen Lin, Pi-Ling Chiang, Peng-Wen Chen, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 4, pp. 661-671
Closed Access | Times Cited: 6
Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images of Mouse Embryos Using Convolutional Neural Networks
Lucas Lo Vercio, Rebecca M. Green, Samuel Robertson, et al.
IEEE Access (2022) Vol. 10, pp. 105084-105100
Open Access | Times Cited: 6
Distributed Learning in Healthcare
Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
Integrated science (2022), pp. 183-212
Closed Access | Times Cited: 5
Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images using Convolutional Neural Networks
Lucas Lo Vercio, Rebecca M. Green, Samuel Robertson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
Privatsphärefreundliches maschinelles Lernen
Joshua Stock, Tom Petersen, Christian‐Alexander Behrendt, et al.
Informatik-Spektrum (2022) Vol. 45, Iss. 2, pp. 70-79
Open Access | Times Cited: 3
Deep learning based 3D multimodal CNN for brain tumor segmentation and detection
Aniket Tiwari, Divyansh Kumar, Hanuman Sidh, et al.
Iran Journal of Computer Science (2024)
Closed Access
Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey
Elbetel Taye Zewde, Mersibon Melese Motuma, Yehualashet Megersa Ayano, et al.
Communications in computer and information science (2024), pp. 3-45
Closed Access
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. V. Dobshik, Sergey Verbitskiy, Igor A. Pestunov, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Lesion size of early cerebral infarction on a Non-Contrast CT influences detection ability in Cascade Mask Region-Convolutional neural networks
Chi-Hsiang Chou, Jyh‐Wen Chai, Li‐Chih Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105065-105065
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top