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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:

DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
Hritam Basak, Rukhshanda Hussain, Ajay Rana
SN Computer Science (2021) Vol. 2, Iss. 6
Closed Access | Times Cited: 12

Showing 12 citing articles:

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms
Sook‐Lei Liew, Bethany Lo, Miranda R. Donnelly, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 70
STHarDNet: Swin Transformer with HarDNet for MRI Segmentation
Yeonghyeon Gu, Zhegao Piao, Seong Joon Yoo
Applied Sciences (2022) Vol. 12, Iss. 1, pp. 468-468
Open Access | Times Cited: 34
SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization
Weiyi Yu, Zhizhong Huang, Junping Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 156, pp. 106717-106717
Open Access | Times Cited: 20
SrSNet: Accurate segmentation of stroke lesions by a two-stage segmentation framework with asymmetry information
Tingting Li, Xingwei An, Di Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124329-124329
Closed Access | Times Cited: 5
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
Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review
Ming Yanzhen, Chen Song, Wanping Li, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
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
Fan-Net: Fourier-Based Adaptive Normalization for Cross-Domain Stroke Lesion Segmentation
Weiyi Yu, Yiming Lei, Hongming Shan
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 5
MSMV-UNet: A 2.5D Stroke Lesion Segmentation Method Based on Multi-slice Feature Fusion
Jingjing Xie, JiXuan Hong, Manjin Sheng, et al.
Lecture notes in computer science (2024), pp. 57-69
Closed Access
ADL-BSDF: A Deep Learning Framework for Brain Stroke Detection from MRI Scans towards an Automated Clinical Decision Support System
Anitha Patil, Suresh Kumar Govindaraj
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 3, pp. 11-23
Open Access | Times Cited: 1
RecU-Net++: Improved Utilization of Receptive Fields in U-Net++ for Skin Lesion Segmentation
Rukhshanda Hussain, Hritam Basak
2021 IEEE 18th India Council International Conference (INDICON) (2021), pp. 1-6
Closed Access | Times Cited: 1
Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks
Aldir Sousa, Marcelo Leme de Arruda, José Eduardo Krieger, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2023), pp. 105-105
Closed Access
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