Aakash Tripathi

Accelerate Cancer Research With AI-Driven Multimodal Data Integration

NVIDIA GTC 2025 Presentation

Transformers in Time-Series Analysis: A Tutorial

Circuits, Systems, and Signal Processing 42(12), 7433–7466 (2023).

Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi P. Ramachandran, and Ghulam Rasool

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets

Sensors 24(5), 1634 (2024).

Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, and Ghulam Rasool

A Comparison of Feature Selection Techniques for First-Day Mortality Prediction in the ICU

2023 IEEE International Symposium on Circuits and Systems (ISCAS) , 1–5 (2023).

Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi P. Ramachandran, Aakash Tripathi, and Ghulam Rasool

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review

Frontiers in Artificial Intelligence 7, 1408843 (2024).

Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, Paul Stewart, and Ghulam Rasool

SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology

Cancer Research 84(6_Supplement), 908–908 (2024).

Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Paul Stewart, Mia Naeini, and Ghulam Rasool

Multimodal Transformer Model Improves Survival Prediction in Lung Cancer Compared to Unimodal Approaches

Cancer Research 84(6_Supplement), 4905–4905 (2024).

Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models

arXiv preprint arXiv:2405.07460 (2024)

Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool

Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology

arXiv preprint arXiv:2405.08226 (2024)

Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, and Ghulam Rasool

Embedding-Based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes

arXiv preprint arXiv:2406.08521 (2024)

Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Matthew B. Schabath, and Ghulam Rasool

TheBlueScrubs-v1: A Comprehensive Curated Medical Dataset Derived from the Internet

arXiv preprint arXiv:2504.02874 (2025)

Lucas Felipe, Carlos Garcia, Issam El Naqa, Michael Shotande, Aakash Tripathi, Vineel Rudrapatna, and others

HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven Embeddings

medRxiv (2025)

Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, and Ghulam Rasool

Self-Normalizing Deep Learning for Enhanced Multi-Omics Data Analysis in Oncology

Preprints (2025)

Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Joseph Johnson, Paul Stewart, Mia Naeini, Matthew B. Schabath, and Ghulam Rasool

Consensus-Based Reasoning with Locally Deployed LLMs for Structured Data Extraction from Surgical Pathology Reports

Preprint (2025)

Aakash Tripathi, Asim Waqas, Ehsan Ullah, Asma Khan, Farah Khalil, Zarifa Gahramanli Ozturk, Daryoush Saeed-Vafa, Wei-Shen Chen, Marilyn M. Bui, Matthew B. Schabath, and others