| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 280 | 2019 |
| Accurate influenza monitoring and forecasting using novel internet data streams: a case study in the Boston Metropolis FS Lu, S Hou, K Baltrusaitis, M Shah, J Leskovec, J Hawkins, ... JMIR public health and surveillance 4 (1), e8950, 2018 | 115 | 2018 |
| Deep learning assessment of tumor proliferation in breast cancer histological images M Shah, D Wang, C Rubadue, D Suster, A Beck 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 44 | 2017 |
| Accurate influenza monitoring and forecasting using novel internet data streams: a case study in the Boston metropolis. JMIR Public Health Surveill. 2018 Jan 09; 4 (1): e4. doi … FS Lu, S Hou, K Baltrusaitis, M Shah, J Leskovec, R Sosic, J Hawkins, ... | 13 | |
| Disease propagation in social networks: a novel study of infection genesis and spread on twitter M Shah Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms …, 2016 | 9 | 2016 |
| Inferring context from pixels for multimodal image classification M Shah, K Viswanathan, CT Lu, A Fuxman, Z Li, A Timofeev, C Jia, C Sun Proceedings of the 28th ACM International Conference on Information and …, 2019 | 7 | 2019 |
| Multimodal image classifier using textual and visual embeddings A Fuxman, A Timofeev, Z Li, CT Lu, M Shah, C Sun, K Viswanathan, C Jia US Patent 11,907,337, 2024 | 3 | 2024 |
| Pavlakis N Radich JP C Apostolopoulos, U Arnold, A Ayhan, AK Beck, JC Becker, S Blagden, ... Future Oncol 4 (3), 2008 | | 2008 |
| Effificent Language Modeling of Long-Term Dependencies M Shah | | |
| Supervised Hyperbolic Representation Learning for Real-World Networks M Shah, S Maheshwari | | |
Kristin Baltrusaitis, Ph.D.Center for Biostatistics in AIDS Research (CBAR)Verified email at bu.edu
