| Clinical-grade computational pathology using weakly supervised deep learning on whole slide images G Campanella, MG Hanna, L Geneslaw, A Miraflor, ... Nature medicine 25 (8), 1301-1309, 2019 | 2189 | 2019 |
| DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem I Häggström, CR Schmidtlein, G Campanella, TJ Fuchs Medical image analysis 54, 253-262, 2019 | 331 | 2019 |
| Terabyte-scale deep multiple instance learning for classification and localization in pathology G Campanella, VWK Silva, TJ Fuchs arXiv preprint arXiv:1805.06983, 2018 | 93 | 2018 |
| Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology G Campanella, AR Rajanna, L Corsale, PJ Schüffler, Y Yagi, TJ Fuchs Computerized medical imaging and graphics 65, 142-151, 2018 | 72 | 2018 |
| Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. C Xie, H Muhammad, CM Vanderbilt, R Caso, DVK Yarlagadda, ... MIDL, 843-856, 2020 | 47 | 2020 |
| Deep learning for basal cell carcinoma detection for reflectance confocal microscopy G Campanella, C Navarrete-Dechent, K Liopyris, J Monnier, S Aleissa, ... Journal of Investigative Dermatology 142 (1), 97-103, 2022 | 45 | 2022 |
| Unsupervised subtyping of cholangiocarcinoma using a deep clustering convolutional autoencoder H Muhammad, CS Sigel, G Campanella, T Boerner, LM Pak, S Büttner, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 39 | 2019 |
| Systems and methods for multiple instance learning for classification and localization in biomedical imaging T Fuchs, G Campanella US Patent 10,445,879, 2019 | 36 | 2019 |
| Structural and thermodynamic properties of nanoparticle–protein complexes: a combined SAXS and SANS study F Spinozzi, G Ceccone, P Moretti, G Campanella, C Ferrero, S Combet, ... Langmuir 33 (9), 2248-2256, 2017 | 32 | 2017 |
| Interpretable deep learning of myelin histopathology in age-related cognitive impairment AT McKenzie, GA Marx, D Koenigsberg, M Sawyer, MA Iida, JM Walker, ... Acta Neuropathologica Communications 10 (1), 131, 2022 | 23 | 2022 |
| A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections G Campanella, KS Nehal, EH Lee, A Rossi, B Possum, G Manuel, ... Journal of the American Academy of Dermatology 85 (5), 1285-1286, 2021 | 19 | 2021 |
| Computational Pathology at Health System Scale--Self-Supervised Foundation Models from Three Billion Images G Campanella, R Kwan, E Fluder, J Zeng, A Stock, B Veremis, ... arXiv preprint arXiv:2310.07033, 2023 | 18 | 2023 |
| Weakly supervised image classifier T Fuchs, G Campanella US Patent 10,685,255, 2020 | 12 | 2020 |
| A clinical benchmark of public self-supervised pathology foundation models G Campanella, S Chen, R Verma, J Zeng, A Stock, M Croken, B Veremis, ... arXiv preprint arXiv:2407.06508, 2024 | 11 | 2024 |
| H&E-based computational biomarker enables universal EGFR screening for lung adenocarcinoma G Campanella, D Ho, I Häggström, AS Becker, J Chang, C Vanderbilt, ... arXiv preprint arXiv:2206.10573, 2022 | 11 | 2022 |
| Towards unsupervised cancer subtyping: predicting prognosis using a histologic visual dictionary H Muhammad, CS Sigel, G Campanella, T Boerner, LM Pak, S Büttner, ... arXiv preprint arXiv:1903.05257, 2019 | 11 | 2019 |
| Systems and methods for multiple instance learning for classification and localization in biomedical imaging T Fuchs, G Campanella US Patent 10,810,736, 2020 | 10 | 2020 |
| Deep learning for [18F] fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis I Häggström, D Leithner, J Alvén, G Campanella, M Abusamra, H Zhang, ... The Lancet Digital Health 6 (2), e114-e125, 2024 | 9 | 2024 |
| Computational pathology at health system scale–self-supervised foundation models from billions of images G Campanella, C Vanderbilt, T Fuchs AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | 8 | 2024 |
| System, method and computer-accessible medium for quantification of blur in digital images G Campanella, PJ Schüffler, T Fuchs US Patent 10,878,293, 2020 | 6 | 2020 |
Thomas J. FuchsIcahn School of Medicine at Mount SinaiVerified email at mssm.edu