Naoto Kuroda

According to our database, Naoto Kuroda authored at least 6 papers between 2020 and 2026.

Collaborative distances:

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

2026

Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research.

Chenda Duan, Yipeng Zhang, Sotaro Kanai, Yuanyi Ding, Atsuro Daida, Pengyue Yu, Tiancheng Zheng, Naoto Kuroda, Shaun A. Hussain, Eishi Asano, Hiroki Nariai, Vwani Roychowdhury

CoRR, February, 2026

Developmental profile of physiological high-frequency oscillations in the human brain.

Atsuro Daida, Sotaro Kanai, Yipeng Zhang, Chenda Duan, Naoto Kuroda, Tonmoy Monsoor, Yuanyi Ding, Kikuko Kaneko, Joe Qiao, Shaun A. Hussain, Aria Fallah, Noriko Salamon, Raman Sankar, Richard J. Staba, Jerome Engel, William Speier, Eishi Asano, Vwani Roychowdhury, Hiroki Nariai

NeuroImage, 2026

2025

Millisecond-Scale White Matter Dynamics Underlying Visuomotor Integration.

Riyo Ueda, Hiroshi Uda, Keisuke Hatano, Kazuki Sakakura, Naoto Kuroda, Yu Kitazawa, Aya Kanno, Min-Hee Lee, Jeong-Won Jeong, Aimee F. Luat, Eishi Asano

NeuroImage, 2025

2022

Multi-Scale Deep Learning of Clinically Acquired Multi-Modal MRI Improves the Localization of Seizure Onset Zone in Children With Drug-Resistant Epilepsy.

Jeong-Won Jeong, Min-Hee Lee, Naoto Kuroda, Kazuki Sakakura, Nolan O'Hara, Csaba Juhász, Eishi Asano

IEEE J. Biomed. Health Informatics, 2022

Developmental organization of neural dynamics supporting auditory perception.

Kazuki Sakakura, Masaki Sonoda, Takumi Mitsuhashi, Naoto Kuroda, Ethan Firestone, Nolan O'Hara, Hirotaka Iwaki, Min-Hee Lee, Jeong-Won Jeong, Robert Rothermel, Aimee F. Luat, Eishi Asano

NeuroImage, 2022

2020

Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy.

Min-Hee Lee, Nolan O'Hara, Masaki Sonoda, Naoto Kuroda, Csaba Juhász, Eishi Asano, Ming Dong, Jeong-Won Jeong

IEEE Trans. Biomed. Eng., 2020