| 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 88, 101866, 2021 | 122 | 2021 |
| DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data KW Dunn, C Fu, DJ Ho, S Lee, S Han, P Salama, EJ Delp Scientific reports 9 (1), 18295, 2019 | 110 | 2019 |
| Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation C Fu, S Lee, DJ Ho, S Han, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 93 | 2018 |
| Nuclei segmentation of fluorescence microscopy images using three dimensional convolutional neural networks DJ Ho, C Fu, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 58 | 2017 |
| Deep interactive learning: an efficient labeling approach for deep learning-based osteosarcoma treatment response assessment DJ Ho, NP Agaram, PJ Schüffler, CM Vanderbilt, MH Jean, MR Hameed, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 52* | 2020 |
| Nuclei segmentation of fluorescence microscopy images using convolutional neural networks C Fu, DJ Ho, S Han, P Salama, KW Dunn, EJ Delp 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 41 | 2017 |
| Deep interactive learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation DJ Ho, MH Chui, CM Vanderbilt, J Jung, ME Robson, CS Park, J Roh, ... Journal of Pathology Informatics 14, 100160, 2023 | 25 | 2023 |
| 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, 1487–1494, 2021 | 23 | 2021 |
| Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks DJ Ho, C Fu, P Salama, KW Dunn, EJ Delp 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 22 | 2018 |
| PAIP 2020: Microsatellite instability prediction in colorectal cancer K Kim, K Lee, S Cho, DU Kang, S Park, Y Kang, H Kim, G Choe, KC Moon, ... Medical Image Analysis 89, 102886, 2023 | 14 | 2023 |
| Deep learning–based objective and reproducible osteosarcoma chemotherapy response assessment and outcome prediction DJ Ho, NP Agaram, MH Jean, SD Suser, C Chu, CM Vanderbilt, ... The American Journal of Pathology 193 (3), 341-349, 2023 | 13 | 2023 |
| Stain-invariant self supervised learning for histopathology image analysis A Tiard, A Wong, DJ Ho, Y Wu, E Nof, AC Goh, S Soatto, S Nadeem arXiv preprint arXiv:2211.07590, 2022 | 10 | 2022 |
| 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 | 10 | 2022 |
| Deep multi-magnification networks for multi-class image segmentation T Fuchs, DJ Ho US Patent 11,501,434, 2022 | 9 | 2022 |
| Computational biomarker predicts lung ICI response via deep learning-driven hierarchical spatial modelling from H&E C Xie, C Vanderbilt, C Feng, D Ho, G Campanella, J Egger, A Plodkowski, ... | 8 | 2022 |
| Center-extraction-based three dimensional nuclei instance segmentation of fluorescence microscopy images DJ Ho, S Han, C Fu, P Salama, KW Dunn, EJ Delp 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 8 | 2019 |
| Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images DJ Ho, D Mas Montserrat, C Fu, P Salama, KW Dunn, EJ Delp Journal of Medical Imaging 7 (4), 044003-044003, 2020 | 7 | 2020 |
| Deep interactive learning for image segmentation models T Fuchs, DJ Ho US Patent 11,176,677, 2021 | 6 | 2021 |
| Boundary segmentation for fluorescence microscopy using steerable filters DJ Ho, P Salama, KW Dunn, EJ Delp III Medical Imaging 2017: Image Processing 10133, 94-104, 2017 | 6 | 2017 |
| Deep interactive learning for image segmentation models T Fuchs, DJ Ho US Patent 11,682,117, 2023 | 2 | 2023 |
Thomas J. FuchsIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
