Aakash Tripathi

15 papers C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis. CoRR Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts. CoRR Aakash Tripathi, Ian E. Nielsen, Muhammad Umer, Ravi Prakash Ramachandran, Ghulam Rasool
2025	J	`jnl`	HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings. npj Digit. Medicine Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet. CoRR Luis Felipe, Carlos Garcia, Issam El Naqa, Monique Shotande, Aakash Tripathi, Vivek Rudrapatna, Ghulam Rasool, Danielle Bitterman, Gilmer Valdes
2025	J	`jnl`	Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK. CoRR Carlos García Fernández, Luis Felipe, Monique Shotande, Muntasir Zitu, Aakash Tripathi, Ghulam Rasool, Issam El Naqa, Vivek Rudrapatna, Gilmer Valdes
2024	J	`jnl`	Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2024	J	`jnl`	Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool
2024	J	`jnl`	HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool
2024	J	`jnl`	Multimodal data integration for oncology in the era of deep neural networks: a review. Frontiers Artif. Intell. Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul A. Stewart, Ghulam Rasool
2024	J	`jnl`	SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. CoRR Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool
2023	C	`conf`	A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU. ISCAS Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool
2023	J	`jnl`	Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2023	J	`jnl`	Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. CoRR Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool
2023	J	`jnl`	Transformers in Time-Series Analysis: A Tutorial. Circuits Syst. Signal Process. Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool
2022	J	`jnl`	Transformers in Time-series Analysis: A Tutorial. CoRR Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran