| Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer JM Chan, A Quintanal-Villalonga, VR Gao, Y Xie, V Allaj, O Chaudhary, ... Cancer cell 39 (11), 1479-1496. e18, 2021 | 280 | 2021 |
| Deep multi-magnification networks for multi-class breast cancer image segmentation DJ Ho, DVK Yarlagadda, TM D’Alfonso, MG Hanna, A Grabenstetter, ... Computerized Medical Imaging and Graphics, 101866, 2021 | 121 | 2021 |
| Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center PJ Schüffler, L Geneslaw, DVK Yarlagadda, MG Hanna, J Samboy, ... Journal of the American Medical Informatics Association 28 (9), 1874-1884, 2021 | 61 | 2021 |
| Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning C Xie, H Muhammad, CM Vanderbilt, R Caso, DVK Yarlagadda, ... Medical Imaging with Deep Learning, 843-856, 2020 | 45 | 2020 |
| (Re) Defining the high-power field for digital pathology D Kim, L Pantanowitz, P Schüttler, DVK Yarlagadda, O Ardon, VE Reuter, ... Journal of Pathology Informatics 11 (1), 33, 2020 | 32 | 2020 |
| Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens TM D’Alfonso, DJ Ho, MG Hanna, A Grabenstetter, DVK Yarlagadda, ... Modern Pathology 34 (8), 1487-1494, 2021 | 23 | 2021 |
| Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark DEL Barron, DVK Yarlagadda, P Rao, O Tawfik, D Rao Medical Imaging 2018: Digital Pathology 10581, 291-296, 2018 | 11 | 2018 |
| Efficient Visualization of Whole Slide Images in Web-based Viewers for Digital Pathology PJ Schüffler, E Stamelos, I Ahmed, DVK Yarlagadda, O Ardon, MG Hanna, ... Archives of Pathology & Laboratory Medicine 146 (10), 1273-1280, 2022 | 9 | 2022 |
| Overcoming an annotation hurdle: Digitizing pen annotations from whole slide images PJ Schüffler, DVK Yarlagadda, C Vanderbilt, TJ Fuchs Journal of Pathology Informatics 12 (1), 9, 2021 | 9 | 2021 |
| Single cell profiling reveals novel tumor and myeloid subpopulations in small cell lung cancer JM Chan, Á Quintanal-Villalonga, V Gao, Y Xie, V Allaj, O Chaudhary, ... bioRxiv, 2020.12. 01.406363, 2020 | 8 | 2020 |
| TGF-β and RAS jointly unmask primed enhancers to drive metastasis JH Lee, FJ Sánchez-Rivera, L He, H Basnet, FX Chen, E Spina, L Li, ... Cell, 2024 | 7 | 2024 |
| A system for one-shot learning of cervical cancer cell classification in histopathology images DVK Yarlagadda, P Rao, D Rao, O Tawfik Medical Imaging 2019: Digital Pathology 10956, 216-221, 2019 | 6 | 2019 |
| Discrete Representation Learning for Modeling Imaging-Based Spatial Transcriptomics Data DVK Yarlagadda, J Massagué, C Leslie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| End-to-end part learning for image analysis C Xie, H Muhammad, CM Vanderbilt, DVK YARLAGADDA, ... US Patent App. 18/008,133, 2023 | 2 | 2023 |
| Digital pathology records database management T Fuchs, L Geneslaw, DVK Yarlagadda US Patent App. 17/911,093, 2023 | 2 | 2023 |
| MitosisNet: a deep learning network for mitosis detection in breast cancer histopathology images DVK Yarlagadda, P Rao, D Rao IEEE EMBS Int Conf Biomed Health Inform, 2017 | 2 | 2017 |
| Detection of annotated regions of interest in images T Fuchs, PJ Schüffler, DVK Yarlagadda, C Vanderbilt US Patent 11,682,186, 2023 | 1 | 2023 |
| Machine learning model for analyzing pathology data from metastatic sites DVK Yarlagadda, M Hanna, P Schueffler, T Fuchs US Patent 11,449,994, 2022 | 1 | 2022 |
| DETECTION OF LABELS IN BIOMEDICAL IMAGES L Geneslaw, T Fuchs, DVK Yarlagadda US Patent App. 18/558,708, 2024 | | 2024 |
| Scalable and efficient whole slide image reader for deep learning and viewer applications DVK Yarlagadda US Patent 12,038,571, 2024 | | 2024 |
Thomas J. FuchsIcahn School of Medicine at Mount SinaiВерификована је имејл адреса на mssm.edu
