An Introduction to Pathology Foundation Models
Brandon Veremis, Shengjia Chen, Gabriele Campanella
Head and Neck Pathology
Research output
Publications
Peer-reviewed papers and public preprints spanning computational pathology, medical imaging, clinical AI, and bioinformatics.
2026
2025
Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning
Shengjia Chen, Ruchika Verma, Kevin Clare, Jannes Jegminat, Eugenia Alleva, Kuan-lin Huang, Brandon Veremis, Thomas J. Fuchs, Gabriele Campanella
MICCAI 2025 FAIMI, LNCS
Domain-Specific Foundation Model Improves AI-Based Analysis of Neuropathology
Ruchika Verma, Shrishtee Kandoi, Robina Afzal, Shengjia Chen, et al.
arXiv preprint
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models
Gabriele Campanella, Shengjia Chen, Manbir Singh, Ruchika Verma, et al.
Nature Communications
MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI
Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
Radiology: Artificial Intelligence
2024
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective
Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, et al.
MICCAI 2024 COMPAYL, Proceedings of Machine Learning Research
Estimating Time-to-Total Knee Replacement on Radiographs and MRI
Ozkan Cigdem, Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
Radiology Advances
2020
Evaluation of Feature Selection Methods Using Bagging and Boosting Ensemble Techniques on High Throughput Biological Data
Jiamin Wu, Shengjia Chen, Wenbin Zhou, Ningya Wang, Ziling Fan
Proceedings of ICBET
Comparison of Penalty-based Feature Selection Approach on High Throughput Biological Data
Ningya Wang, Wenbin Zhou, Jiamin Wu, Shengjia Chen, Ziling Fan
Proceedings of ICBET