| H&E-stained Whole Slide Image Deep Learning Predicts SPOP Mutation State in Prostate Cancer AJ Schaumberg, MA Rubin, TJ Fuchs BioRxiv, 064279, 2016 | 123 | 2016 |
| Fast and scalable search of whole-slide images via self-supervised deep learning C Chen, MY Lu, DFK Williamson, TY Chen, AJ Schaumberg, F Mahmood Nature biomedical engineering 6 (12), 1420-1434, 2022 | 63 | 2022 |
| Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media AJ Schaumberg, WC Juarez-Nicanor, SJ Choudhury, LG Pastrián, BS Pritt, ... Modern pathology 33 (11), 2169-2185, 2020 | 48* | 2020 |
| The complete genome sequence of Clostridium indolis DSM 755T AS Biddle, S Leschine, M Huntemann, J Han, A Chen, N Kyrpides, ... Standards in genomic sciences 9, 1089-1104, 2014 | 16 | 2014 |
| Scaling of cytoskeletal organization with cell size in Drosophila AK Spencer, AJ Schaumberg, JA Zallen Molecular biology of the cell 28 (11), 1519-1529, 2017 | 14 | 2017 |
| Identifying regions of interest from whole slide images A Schaumberg, T Fuchs US Patent 10,963,673, 2021 | 12 | 2021 |
| DeepScope: nonintrusive whole slide saliency annotation and prediction from pathologists at the microscope AJ Schaumberg, S Joseph Sirintrapun, HA Al-Ahmadie, PJ Schüffler, ... Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2017 | 11 | 2017 |
| Draft Genome Sequence of Pseudomonas azotifigens Strain DSM 17556T (6H33bT), a Nitrogen Fixer Strain Isolated from a Compost Pile A Busquets, A Peña, M Gomila, M Mulet, J Mayol, E García-Valdés, ... Genome announcements 1 (6), 10.1128/genomea. 00893-13, 2013 | 6 | 2013 |
| H&E-stained Whole Slide Image Deep Learning Predicts SPOP Mutation State in Prostate Cancer. bioRxiv. 2018 AJ Schaumberg, MA Rubin, TJ Fuchs Back to cited text, 064279, 0 | 4 | |
| Identifying regions of interest from whole slide images A Schaumberg, T Fuchs US Patent 11,636,696, 2023 | 1 | 2023 |
| Identifying regions of interest from whole slide images A Schaumberg, T Fuchs US Patent 11,941,900, 2024 | | 2024 |
| iQC: machine-learning-driven prediction of surgical procedure uncovers systematic confounds of cancer whole slide images in specific medical centers AJ Schaumberg, MS Lewis, R Nazarian, A Wadhwa, N Kane, G Turner, ... medRxiv, 2023.09. 19.23295798, 2023 | | 2023 |
| Improving disease prediction with patient case metadata from social media Pathology Visions 2022, 4-5, 2023 | | 2023 |
| AI-BASED FAST AND SCALABLE IMAGE SEARCH FOR RARE DISEASE DIAGNOSIS C Chen, MY Lu, DFK Williamson, TY Chen, AJ Schaumberg, F Mahmood Journal of Pathology Informatics 13, 100046, 2022 | | 2022 |
| Deep Learning of Attention-Guided Multimodal Histopathology Search on Social Media Pathology Visions 2020: Through the Prism of Innovation 12 (1), S28-S30. J …, 2021 | | 2021 |
| Machine learning for real-time search and prediction of disease state to aid pathologist collaboration on social media AJ Schaumberg, W Juarez, SJ Choudhury, LG Pastrian, BS Pritt, ... Pathology Visions 2019 11, S25. J Pathol Inform, 2020 | | 2020 |
| Computational Pathology from Microscope to Social Media AJ Schaumberg Weill Medical College of Cornell University, 2020 | | 2020 |
| Predicting Drug Interactions and Mutagenicity with Ensemble Classifiers on Subgraphs of Molecules A Schaumberg, A Yu, T Koshi, X Zong, S Rayadhurgam arXiv preprint arXiv:1601.07233, 2016 | | 2016 |
| Genomes and Metagenomes M Huntemann, K Mavrommatis, N Ivanova, N Mikhailova, G Ovchinnikova, ... | | 2014 |
| Fast and scalable search of whole-slide images via self-supervised deep learning AJ Schaumberg, F Mahmood | | |
Thomas J. FuchsIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
