Campanella, Gabriele

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,799

The lysophosphatidic acid receptor LPA1 links pulmonary fibrosis to lung injury by mediating fibroblast recruitment and vascular leak

Tager, A. M., LaCamera, P., Shea, B. S., Campanella, G. S., Selman, M., Zhao, Z., Polosukhin, V., Wain, J., Karimi-Shah, B. A., Kim, N. D., et al. (2008) · Nature Medicine

Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisSphingolipid Metabolism and Signaling

Cited by 823

A clinical benchmark of public self-supervised pathology foundation models

Campanella, G., Chen, S., Singh, M., Verma, R., Muehlstedt, S., Zeng, J., Stock, A., Croken, M., Veremis, B., Elmas, A., et al. (2025) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 126

Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection

Campanella, G., Kumar, N., Nanda, S., Singi, S., Fluder, E., Kwan, R., Muehlstedt, S., Pfarr, N., Schüffler, P. J., Häggström, I., et al. (2025) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 69

Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images

Campanella, G., Kwan, R., Fluder, E., Zeng, J., Stock, A., Veremis, B., Polydorides, A. D., Hedvat, C., Schoenfeld, A., Vanderbilt, C., et al. (2023) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 15