Nicholas Matsumoto

According to our database, Nicholas Matsumoto authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Automated Suturing Skill Assessment in Robot-assisted Surgery from Endoscopic Videos using Clinically-guided Evaluation Criteria.

Atharva Sunil Deo, Ujjwal Pasupulety, Nicholas Matsumoto, Jay Moran, Cherine Yang, Jeanine Kim, Rafal Dariusz Kocielnik, Aurash Naser-Tavakolian, Andrew J. Hung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

End to End AI System for Surgical Gesture Sequence Recognition and Clinical Outcome Prediction.

Xi Li, Nicholas Matsumoto, Ujjwal Pasupulety, Atharva Sunil Deo, Cherine Yang, Jay Moran, Miguel E. Hernandez, Peter Wager, Jasmine Lin, Jeanine Kim, Alvin C. Goh, Christian Wagner, Geoffrey A. Sonn, Andrew J. Hung

CoRR, November, 2025

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis.

Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda, Yufei Meng, Nicholas Matsumoto, Jason H. Moore

CoRR, May, 2025

AI-driven Automation of End-to-end Assessment of Suturing Expertise.

Atharva Sunil Deo, Nicholas Matsumoto, Sun Kim, Peter Wager, Randy G. Tsai, Aaron Denmark, Cherine Yang, Xi Li, Jay Moran, Miguel E. Hernandez, Andrew J. Hung

CoRR, March, 2025

ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning.

Nicholas Matsumoto, Hyunjun Choi, Jay Moran, Miguel E. Hernandez, Mythreye Venkatesan, Xi Li, Jui-Hsuan Chang, Zhiping Paul Wang, Jason H. Moore

Bioinform., 2025

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore

BioData Min., 2025

2024

KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models.

Nicholas Matsumoto, Jay Moran, Hyunjun Choi, Miguel E. Hernandez, Mythreye Venkatesan, Zhiping Paul Wang, Jason H. Moore

Bioinform., 2024

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.

Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

BioData Min., 2024

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies.

Philip J. Freda, Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou, Molly A. Hall, Abraham A. Palmer, Tayo Obafemi-Ajayi, Jason H. Moore

BioData Min., 2024

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis.

Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore

BioData Min., 2024

2023

Aliro: an automated machine learning tool leveraging large language models.

Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore

Bioinform., October, 2023

TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning.

Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning.

Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore

Proceedings of the Genetic Programming - 26th European Conference, 2023