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:

Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning
Md Mamunur Rahaman, Ewan K.A. Millar, Erik Meijering
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Forward attention-based deep network for classification of breast histopathology image
Sudipta Roy, Pankaj Jain, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 40, pp. 88039-88068
Closed Access | Times Cited: 8
Transcriptomics-Guided Slide Representation Learning in Computational Pathology
Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 9632-9644
Closed Access | Times Cited: 6
Benchmarking the translational potential of spatial gene expression prediction from histology
Chuhan Wang, Adam S. Chan, Xiaohang Fu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer
Oumeima Thaalbi, Moulay A. Akhloufi
AI (2025) Vol. 6, Iss. 3, pp. 43-43
Open Access
AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access
Inferring single-cell spatial gene expression with tissue morphology via explainable deep learning
Yue Zhao, Elaheh Alizadeh, Yang Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours
Guoxiu Lu, Ronghui Tian, Wei Yang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Oumeima Thaalbi, Moulay A. Akhloufi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Path2Space: An AI Approach for Cancer Biomarker Discovery Via Histopathology Inferred Spatial Transcriptomics
Eldad D. Shulman, Emma M. Campagnolo, Roshan Lodha, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Fusing global context with multiscale context for enhanced breast cancer classification
Niful Islam, Khan Md. Hasib, M. F. Mridha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy
Junsha An, Yajie Lu, Yuxi Chen, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Age-related Differences in Spatially Resolved Transcriptomic Profiles of Patients With Hormone Receptor-positive Breast Carcinoma
Jinah Chu, Sung‐Im Do, Hyun Soo Kim
Anticancer Research (2024) Vol. 44, Iss. 6, pp. 2605-2616
Open Access
Research and application of omics and artificial intelligence in cancer
Ye Zhang, Wenwen Ma, Zhiqiang Huang, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 21, pp. 21TR01-21TR01
Closed Access
Scoping Review: Methods and Applications of Spatial Transcriptomics in Tumor Research
Kacper Maciejewski, Patrycja Czerwińska
Cancers (2024) Vol. 16, Iss. 17, pp. 3100-3100
Open Access
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology
Michael Fatemi, Yunrui Lu, Alos Diallo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes
Lucas J. Klein, Sebastian Ziegler, Felicia Gerst, et al.
(2024)
Open Access
Generalized Deep Learning for Histopathology Image Classification Using Supervised Contrastive Learning
Md Mamunur Rahaman, Ewan K.A. Millar, Erik Meijering
Journal of Advanced Research (2024)
Open Access
Advancements in artificial intelligence-driven spatial transcriptomics: Decoding cellular complexity
Nagmi Bano, Iqra Sajid, Debmalya Barh, et al.
Elsevier eBooks (2024), pp. 87-106
Closed Access
Comprehensive Review of Breast Cancer for Precision Oncology
Kirti Singh, Dhirendra Singh, Krishan Kumar, et al.
(2024), pp. 1472-1477
Closed Access
Page 1

Scroll to top