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:

nn-TransUNet: An Automatic Deep Learning Pipeline for Heart MRI Segmentation
Zhao Li, Dongming Zhou, Xin Jin, et al.
Life (2022) Vol. 12, Iss. 10, pp. 1570-1570
Open Access | Times Cited: 13

Showing 13 citing articles:

Leveraging Deep Learning Techniques to Obtain Efficacious Segmentation Results
Joy Purohit, Rushit Dave
Archives of Advanced Engineering Science (2023) Vol. 1, Iss. 1, pp. 11-26
Open Access | Times Cited: 37
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
Amran Hossain, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, et al.
Biosensors (2023) Vol. 13, Iss. 2, pp. 238-238
Open Access | Times Cited: 32
PipeTransUNet: CNN and Transformer fusion network for semantic segmentation and severity quantification of multiple sewer pipe defects
Mingze Li, Mingchao Li, Qiubing Ren, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111673-111673
Closed Access | Times Cited: 7
Deep neural network architectures for cardiac image segmentation
Jasmine El-Taraboulsi, Claudia Cabrera, Caroline H. Roney, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 4, pp. 100083-100083
Open Access | Times Cited: 16
Automated measurement and grading of knee cartilage thickness: a deep learning-based approach
JiangRong Guo, Pengfei Yan, Yong Qin, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 5
Advancements in medical image segmentation: A review of transformer models
S. S. Kumar
Computers & Electrical Engineering (2025) Vol. 123, pp. 110099-110099
Closed Access
Application of TransUnet Deep Learning Model for Automatic Segmentation of Cervical Cancer in Small-Field T2WI Images
Z. SHI, Feifei Zhang, Xiong Zhang, et al.
Deleted Journal (2025)
Closed Access
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation
Kamal Raj Singh, Ambalika Sharma, Girish Kumar Singh
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105177-105177
Closed Access | Times Cited: 13
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI
Hamed Aghapanah, Reza Rasti, Saeed Kermani, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 115, pp. 102382-102382
Closed Access | Times Cited: 4
CoST-UNet: Convolution and swin transformer based deep learning architecture for cardiac segmentation
Md. Rabiul Islam, Marwa Qaraqe, Erchin Serpedin
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106633-106633
Open Access | Times Cited: 2
Accurate segmentation algorithm of acoustic neuroma in the cerebellopontine angle based on ACP-TransUNet
Zhuo Zhang, Xiaochen Zhang, Yong Yang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Semi-supervised learning based on uncertainty estimation and image segmentation of left ventricle MRI in cardiac clinical diagnosis
Dongrun Jia
(2024), pp. 46-46
Closed Access
MECardNet: A novel multi-scale convolutional ensemble model with adaptive deep supervision for precise cardiac MRI segmentation
Hamed Aghapanah, Reza Rasti, Faezeh Tabesh, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106919-106919
Closed Access
Page 1

Scroll to top