| Exploring single-cell data with deep multitasking neural networks M Amodio, D Van Dijk, K Srinivasan, WS Chen, H Mohsen, KR Moon, ... Nature methods 16 (11), 1139-1145, 2019 | 265 | 2019 |
| Travelgan: Image-to-image translation by transformation vector learning M Amodio, S Krishnaswamy Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 127 | 2019 |
| MAGAN: Aligning biological manifolds M Amodio, S Krishnaswamy International Conference on Machine Learning, 215-223, 2018 | 85 | 2018 |
| Neural attribute machines for program generation M Amodio, S Chaudhuri, TW Reps arXiv preprint arXiv:1705.09231, 2017 | 40 | 2017 |
| Final results of a phase II prospective trial evaluating the combination of stereotactic body radiotherapy (SBRT) with concurrent pembrolizumab in patients with metastatic non … AM Campbell, WL Cai, D Burkhardt, SN Gettinger, SB Goldberg, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), S36-S37, 2019 | 25 | 2019 |
| Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures Y Zhao, M Amodio, B Vander Wyk, B Gerritsen, MM Kumar, D van Dijk, ... PLoS neglected tropical diseases 14 (3), e0008112, 2020 | 21 | 2020 |
| Identification and Analysis of Islet Antigen–Specific CD8+ T Cells with T Cell Libraries H Ogura, P Preston-Hurlburt, AL Perdigoto, M Amodio, S Krishnaswamy, ... The Journal of Immunology 201 (6), 1662-1670, 2018 | 21 | 2018 |
| Finding archetypal spaces using neural networks D van Dijk, DB Burkhardt, M Amodio, A Tong, G Wolf, S Krishnaswamy 2019 IEEE International Conference on Big Data (Big Data), 2634-2643, 2019 | 13 | 2019 |
| Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer M Amodio, SE Youlten, A Venkat, BP San Juan, CL Chaffer, ... Patterns 3 (9), 2022 | 9 | 2022 |
| Exploring single-cell data with multitasking deep neural networks M Amodio, K Srinivasan, D van Dijk, H Mohsen, K Yim, R Muhle, ... BioRxiv, 237065, 2017 | 9 | 2017 |
| Generating hard-to-obtain information from easy-to-obtain information: applications in drug discovery and clinical inference M Amodio, D Shung, DB Burkhardt, P Wong, M Simonov, Y Yamamoto, ... Patterns 2 (7), 2021 | 8 | 2021 |
| Out-of-sample extrapolation with neuron editing M Amodio, D van Dijk, R Montgomery, G Wolf, S Krishnaswamy arXiv preprint arXiv:1805.12198, 2018 | 8 | 2018 |
| Finding archetypal spaces for data using neural networks D van Dijk, D Burkhardt, M Amodio, A Tong, G Wolf, S Krishnaswamy arXiv preprint arXiv:1901.09078, 1133-1141, 2019 | 6 | 2019 |
| Neural Attribute Machines for Program Generation. CoRR abs/1705.09231 (2017) M Amodio, S Chaudhuri, TW Reps arXiv preprint arXiv:1705.09231, 2017 | 6 | 2017 |
| Interpretable neuron structuring with graph spectral regularization A Tong, D van Dijk, JS Stanley III, M Amodio, K Yim, R Muhle, J Noonan, ... Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020 | 5 | 2020 |
| Neuron interference: Evidence-based batch effect removal M Amodio, R Montgomery, J Pappalardo, D Hafler, S Krishnaswamy arXiv preprint arXiv:1805.12198, 2018 | 5 | 2018 |
| Cuts: A framework for multigranular unsupervised medical image segmentation C Liu, M Amodio, LL Shen, F Gao, A Avesta, S Aneja, JC Wang, ... arXiv preprint arXiv:2209.11359, 2022 | 4 | 2022 |
| Cuts: A fully unsupervised framework for medical image segmentation C Liu, M Amodio, LL Shen, F Gao, A Avesta, S Aneja, JC Wang, ... arXiv preprint arXiv:2209.11359, 2022 | 3* | 2022 |
| SAUCIE: Sparse autoencoder for unsupervised clustering, imputation, and embedding M Amodio, K Srinivasan, D Dijk, H Mohsen, K Yim, R Muhle, K Moon, ... Cancer Research 78 (13_Supplement), 5306-5306, 2018 | 3 | 2018 |
| Single-Cell Multi-Modal GAN (scMMGAN) reveals spatial patterns in single-cell data from triple negative breast cancer M Amodio, SE Youlten, A Venkat, BP San Juan, C Chaffer, ... bioRxiv, 2022.07. 04.498732, 2022 | 1 | 2022 |
