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2020 – today
- 2024
[j2]Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul A. Stewart, Ghulam Rasool:
Multimodal data integration for oncology in the era of deep neural networks: a review. Frontiers Artif. Intell. 7 (2024)- [j1]Aakash Tripathi
, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24(5): 1634 (2024) - [i7]Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool:
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR abs/2405.07460 (2024) - [i6]Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool:
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. CoRR abs/2405.08226 (2024) - [i5]Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool:
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR abs/2406.08521 (2024) - [i4]Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool:
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. CoRR abs/2409.16340 (2024) - 2023
- [i3]Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool:
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. CoRR abs/2303.06471 (2023) - [i2]Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR abs/2310.01438 (2023) - 2021
- [i1]Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya:
Exploring Robustness of Neural Networks through Graph Measures. CoRR abs/2106.15850 (2021)
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