| Transformers in time-series analysis: A tutorial S Ahmed, IE Nielsen, A Tripathi, S Siddiqui, RP Ramachandran, G Rasool Circuits, Systems, and Signal Processing 42 (12), 7433-7466, 2023 | 179 | 2023 |
| Multimodal data integration for oncology in the era of deep neural networks: a review A Waqas, A Tripathi, RP Ramachandran, PA Stewart, G Rasool Frontiers in Artificial Intelligence 7, 1408843, 2024 | 26 | 2024 |
| Building flexible, scalable, and machine learning-ready multimodal oncology datasets A Tripathi, A Waqas, K Venkatesan, Y Yilmaz, G Rasool Sensors 24 (5), 1634, 2024 | 15 | 2024 |
| HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models A Tripathi, A Waqas, Y Yilmaz, G Rasool arXiv preprint arXiv:2405.07460, 2024 | 5 | 2024 |
| SeNMo: a self-normalizing deep learning model for enhanced multi-omics data analysis in oncology A Waqas, A Tripathi, S Ahmed, A Mukund, P Stewart, M Naeini, H Farooq, ... Cancer Research 84 (6_Supplement), 908-908, 2024 | 4 | 2024 |
| A comparison of feature selection techniques for first-day mortality prediction in the icu JR Epifano, A Silvestri, A Yu, RP Ramachandran, A Tripathi, G Rasool 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 4 | 2023 |
| Multimodal transformer model improves survival prediction in lung cancer compared to unimodal approaches A Tripathi, A Waqas, Y Yilmaz, G Rasool Cancer Research 84 (6_Supplement), 4905-4905, 2024 | 3 | 2024 |
| Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes A Waqas, A Tripathi, P Stewart, M Naeini, G Rasool arXiv preprint arXiv:2406.08521, 2024 | 2 | 2024 |
| BIO24-031: Hierarchical Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes A Waqas, A Tripathi, A Mukund, P Stewart, M Naeini, G Rasool Journal of the National Comprehensive Cancer Network 22 (2.5), 2024 | 1 | 2024 |
| BIO24-030: Unifying Multimodal Data, Time Series Analytics, and Contextual Medical Memory: Introducing MINDS as an Oncology-Centric Cloud-Based Platform A Tripathi, A Waqas, G Rasool Journal of the National Comprehensive Cancer Network 22 (2.5), 2024 | | 2024 |
| SeNMo: A self-normalizing deep learning model for enhanced multi-omics data analysis in oncology A Waqas, A Tripathi, S Ahmed, A Mukund, P Stewart, M Naeini, H Farooq, ... Cancer Research 84 (6_Supplement), 908-908, 2024 | | 2024 |
| Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology A Waqas, A Tripathi, S Ahmed, A Mukund, H Farooq, J Johnson, ... Available at SSRN 5055163, 0 | | |
Ghulam RasoolMachine Learning Department, Moffitt Cancer CenterVerificeret mail på moffitt.org