Fuchs, Thomas J.

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

A foundation model for clinical-grade computational pathology and rare cancers detection

Vorontsov, E., Bozkurt, A., Casson, A., Shaikovski, G., Zelechowski, M., Severson, K., Zimmermann, E., Hall, J., Tenenholtz, N., Fusi, N., et al. (2024) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 572

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

Raciti, P., Sue, J., Ceballos, R., Godrich, R., Kunz, J. D., Kapur, S., Reuter, V., Grady, L., Kanan, C., Klimstra, D. S., et al. (2020) · Modern Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 186

Independent real‐world application of a clinical‐grade automated prostate cancer detection system

da Silva, L. M., Pereira, E. M., Salles, P. G., Godrich, R., Ceballos, R., Kunz, J. D., Casson, A., Viret, J., Chandarlapaty, S., Ferreira, C. G., et al. (2021) · The Journal of Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 175

Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

Raciti, P., Sue, J., Retamero, J. A., Ceballos, R., Godrich, R., Kunz, J. D., Casson, A., Thiagarajan, D., Ebrahimzadeh, Z., Viret, J., et al. (2023) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 119

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

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Zimmermann, E., Vorontsov, E., Viret, J., Casson, A., Zelechowski, M., Shaikovski, G., Tenenholtz, N., Hall, J., Klimstra, D., Yousfi, R., et al. (2024) · arXiv

AI in cancer detectionAdvanced Neural Network Applications

Cited by 53

Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality

Khosravi, P., Fuchs, T. J., & Ho, D. J. (2025) · Cancer Research

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 41

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Shaikovski, G., Casson, A., Severson, K., Zimmermann, E., Wang, Y. K., Kunz, J. D., Retamero, J. A., Oakley, G., Klimstra, D., Kanan, C., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 22

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

Computational biomarker predicts lung ICI response via deep learning-driven hierarchical spatial modelling from H&E

Xie, C., Vanderbilt, C., Feng, C., Ho, D., Campanella, G., Egger, J., Plodkowski, A., Girshman, J., Sawan, P., Arbour, K., et al. (2022) · Research Square

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 8

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue

Vorontsov, E., Shaikovski, G., Casson, A., Viret, J., Zimmermann, E., Tenenholtz, N., Wang, Y. K., Bernhard, J. H., Godrich, R. A., Retamero, J. A., et al. (2025) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 0