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Aakash Tripathi

Showing results (1-10 of 7) with videos related to

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Cancer Informatics|September 30, 2025
Robust Multimodal Fusion for Survival Prediction in Cancer PatientsDominic Flack, Aakash Tripathi, Asim Waqas, et al.
Sensors (Basel, Switzerland)|March 13, 2024
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology DatasetsAakash Tripathi, Asim Waqas, Kavya Venkatesan, et al.
NPJ Digital Medicine|October 23, 2025
HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddingsAakash Tripathi, Asim Waqas, Matthew B Schabath, et al.
Frontiers in Artificial Intelligence|August 9, 2024
Multimodal data integration for oncology in the era of deep neural networks: a reviewAsim Waqas, Aakash Tripathi, Ravi P Ramachandran, et al.
Arxiv|July 25, 2025
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of ExpertsAakash Tripathi, Ian E Nielsen, Muhammad Umer, et al.
International Journal of Molecular Sciences|August 14, 2025
Self-Normalizing Multi-Omics Neural Network for Pan-Cancer PrognosticationAsim Waqas, Aakash Tripathi, Sabeen Ahmed, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|December 18, 2025
Using consensus-based reasoning and large language models to extract structured data from surgical pathology reportsAakash Tripathi, Asim Waqas, Kavya Venkatesan, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Cancer Informatics|September 30, 2025
Robust Multimodal Fusion for Survival Prediction in Cancer PatientsDominic Flack, Aakash Tripathi, Asim Waqas, et al.
Sensors (Basel, Switzerland)|March 13, 2024
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology DatasetsAakash Tripathi, Asim Waqas, Kavya Venkatesan, et al.
NPJ Digital Medicine|October 23, 2025
HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddingsAakash Tripathi, Asim Waqas, Matthew B Schabath, et al.
Frontiers in Artificial Intelligence|August 9, 2024
Multimodal data integration for oncology in the era of deep neural networks: a reviewAsim Waqas, Aakash Tripathi, Ravi P Ramachandran, et al.
Arxiv|July 25, 2025
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of ExpertsAakash Tripathi, Ian E Nielsen, Muhammad Umer, et al.
International Journal of Molecular Sciences|August 14, 2025
Self-Normalizing Multi-Omics Neural Network for Pan-Cancer PrognosticationAsim Waqas, Aakash Tripathi, Sabeen Ahmed, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|December 18, 2025
Using consensus-based reasoning and large language models to extract structured data from surgical pathology reportsAakash Tripathi, Asim Waqas, Kavya Venkatesan, et al.
Pageof 1