| Revolutionizing digital pathology with the power of generative artificial intelligence and foundation models A Waqas, MM Bui, EF Glassy, I El Naqa, P Borkowski, AA Borkowski, ... Laboratory Investigation, 100255, 2023 | 56 | 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 | 23 | 2024 |
| Exploring robust architectures for deep artificial neural networks A Waqas, H Farooq, NC Bouaynaya, G Rasool Communications Engineering 1 (1), 46, 2022 | 20* | 2022 |
| 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 |
| Brain tumor segmentation and surveillance with deep artificial neural networks A Waqas, D Dera, G Rasool, NC Bouaynaya, HM Fathallah-Shaykh Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and …, 2021 | 11 | 2021 |
| Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review N Koutsoubis, A Waqas, Y Yilmaz, RP Ramachandran, M Schabath, ... arXiv preprint arXiv:2409.16340, 2024 | 5 | 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 |
| 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 |
| 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 | 2 | 2024 |
| From Graph Theory for Robust Deep Networks to Graph Learning for Multimodal Cancer Analysis A Waqas University of South Florida, 2024 | 2 | 2024 |
| Intelligent Helipad Detection and (Grad-Cam) Estimation Using Satellite Imagery DS Specht, A Waqas, G Rasool, C Clifford, N Bouaynaya Transportation Research Board 100th Annual MeetingTransportation Research …, 2021 | 2 | 2021 |
| 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 |
| Digital pathology and multimodal learning on oncology data A Waqas, J Naveed, W Shahnawaz, S Asghar, MM Bui, G Rasool BJR| Artificial Intelligence 1 (1), ubae014, 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 |
| 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 Centermoffitt.org의 이메일 확인됨