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:

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI
Liang Sun, Wei Shao, Mingliang Wang, et al.
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 2702-2713
Closed Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

MAS-CL: An End-to-end Multi-atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation
Liang Sun, Yanling Fu, Junyong Zhao, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 4319-4333
Closed Access | Times Cited: 1

Detection of Brain Tumor in MRI Images using Deep Learning Method
S. Poornam, Saravanan Alagarsamy
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 855-859
Closed Access | Times Cited: 6

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
Jie Wei, Feng Shi, Zhiming Cui, et al.
Lecture notes in computer science (2021), pp. 89-98
Closed Access | Times Cited: 6

A novel cross-layer dual encoding-shared decoding network framework with spatial self-attention mechanism for hippocampus segmentation
Jiani Li, Shao‐Wu Zhang, Yan-Rui Qiang, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107584-107584
Closed Access | Times Cited: 2

A robust discriminative multi-atlas label fusion method for hippocampus segmentation from MR image
Wenna Wang, Xiuwei Zhang, Yu Ma, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106197-106197
Closed Access | Times Cited: 5

Smart system for identifying the various pathologies in MR brain image using Monkey Search based Interval Type-II Fuzzy C-Means technique
Harish Garg, Saravanan Alagarsamy, D. Nagarajan, et al.
Multimedia Tools and Applications (2024)
Closed Access

Noisy image segmentation utilizing entropy-adaptive fractional differential-driven active contours
Shang Zhuge, Zhiheng Zhou, Wenlue Zhou, et al.
Multimedia Tools and Applications (2024)
Closed Access

Integrated 3d flow-based multi-atlas brain structure segmentation
Yeshu Li, Ziming Qiu, Xingyu Fan, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0270339-e0270339
Open Access | Times Cited: 2

Few-sample Multi-organ Abdominal Image Segmentation with Mean Teacher Model
Pingyi Chen, Tianyu Chen, Zhiqiang Yang, et al.
(2020), pp. 6613-6617
Closed Access | Times Cited: 1

Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation
Yuyan Ge, Zhenyu Tang, Lei Ma, et al.
Lecture notes in computer science (2022), pp. 466-475
Closed Access | Times Cited: 1

A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning
Behnam Kazemivash, Vince D. Calhoun
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1

2020 Index IEEE Transactions on Image Processing Vol. 29

IEEE Transactions on Image Processing (2020) Vol. 29, pp. 9732-9834
Open Access

SISTEM DETEKSI OTOMATIS CORONAVIRUS DISEASE (COVID-19) MENGGUNAKAN GAMBAR CHEST X-RAY DENGAN JETSON NANO
Rian Fahrizal, Romi Wiryadinata, Alief Maulana
Setrum Sistem Kendali-Tenaga-Elektronika-Telekomunikasi-Komputer (2020) Vol. 9, Iss. 2
Open Access

A Novel Machine Learning Framework for Covid-19 Image Classification with Bio-heuristic Optimization
Prathap Siddavaatam, Reza Sedaghat, Nahid Sahelgozin
Lecture notes in computer science (2022), pp. 85-108
Closed Access

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images
Shuai Wang, Theodore Yanagihara, Bhishamjit S. Chera, et al.
arXiv (Cornell University) (2021)
Open Access

A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images
Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Sthefanie Monica Premebida, et al.
(2021) Vol. 83, pp. 1-7
Closed Access

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