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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:

BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach
Marwa Afnouch, Olfa Gaddour, Yosr Hentati, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120376-120376
Open Access | Times Cited: 11

Showing 11 citing articles:

Microstructure of the human metastatic vertebral body
Giulia Cavazzoni, Enrico Dall’Ara, Marco Palanca
Frontiers in Endocrinology (2025) Vol. 15
Open Access | Times Cited: 2
Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography
S J Pawan, Joseph M. Rich, Shreyas Malewar, et al.
(2025), pp. 100005-100005
Open Access
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images
Fares Bougourzi, Fadi Dornaika, Cosimo Distante, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108590-108590
Open Access | Times Cited: 4
Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review
S. J. Pawan, Joseph M. Rich, Jonathan Le, et al.
iRadiology (2024)
Open Access | Times Cited: 1
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109336-109336
Open Access | Times Cited: 1
AI‐powered automated analysis of bone scans: A survey
Qiang Lin, Yang He, Sihan Guo
IET Image Processing (2024)
Open Access | Times Cited: 1
Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures
Marwa Afnouch, Olfa Gaddour, Fares Bougourzi, et al.
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2023), pp. 1-6
Closed Access | Times Cited: 2
MFP-DeepLabv3+: A Multi-scale Feature Fusion and Parallel Attention Network for Enhanced Bone Metastasis Segmentation
Hongwen Gu, Pengju Wang, Yu Li, et al.
Traitement du signal (2024) Vol. 41, Iss. 2, pp. 771-780
Open Access
Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography
S J Pawan, Joseph M. Rich, Shreyas Malewar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb‐Ahmed, et al.
Lecture notes in computer science (2024), pp. 243-258
Closed Access
BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction
Fangxin Shang, Sicong Tang, Xiaorong Wan, et al.
Academic Radiology (2024)
Closed Access
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