Jun Seita

According to our database, Jun Seita authored at least 15 papers between 2010 and 2026.

Collaborative distances:

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

2026

From Intensity to Anatomy: Optimizing nnU-Net for MR-to-CT Translation on SynthRAD2025.

Arthur Longuefosse, Javier Sequeiro González, Fabien Baldacci, Jun Seita

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Preserving Marker Specificity with Lightweight Channel-Independent Representation Learning.

Simon Gutwein, Arthur Longuefosse, Jun Seita, Sabine Taschner-Mandl, Roxane Licandro

CoRR, December, 2025

Syn-STARTS: Synthesized START Triage Scenario Generation Framework for Scalable LLM Evaluation.

Chiharu Hagiwara, Naoki Nonaka, Yuhta Hashimoto, Ryu Uchimido, Jun Seita

CoRR, November, 2025

Player Image Pre-trained Vision Transformer for Rugby Scene Classification.

Naoki Nonaka, Toshiki Koshiba, Ryo Fujihira, Akira Maeda, Jun Seita

Proceedings of the 8th International ACM Workshop on Multimedia Content Analysis in Sports, 2025

2024

Boosting ECG Classification Performance by Pre-training with Synthesized Data.

Naoki Nonaka, Jun Seita

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Rugby Scene Classification Enhanced by Vision Language Model.

Naoki Nonaka, Ryo Fujihira, Toshiki Koshiba, Akira Maeda, Jun Seita

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Efficient HLA imputation from sequential SNPs data by Transformer.

Kaho Tanaka, Kosuke Kato, Naoki Nonaka, Jun Seita

CoRR, 2022

Objective Detection of High-Risk Tackle in Rugby by Combination of Pose Estimation and Machine Learning.

Monami Nishio, Naoki Nonaka, Ryo Fujihira, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita

Proceedings of the New Frontiers in Artificial Intelligence, 2022

End-to-End High-Risk Tackle Detection System for Rugby.

Naoki Nonaka, Ryo Fujihira, Monami Nishio, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

In-depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis.

Naoki Nonaka, Jun Seita

Proceedings of the Machine Learning for Healthcare Conference, 2021

RandECG: Data Augmentation for Deep Neural Network Based ECG Classification.

Naoki Nonaka, Jun Seita

Proceedings of the Advances in Artificial Intelligence, 2021

2020

Electrocardiogram Classification by Modified EfficientNet With Data Augmentation.

Naoki Nonaka, Jun Seita

Proceedings of the Computing in Cardiology, 2020

2019

Demographic Information Initialized Stacked Gated Recurrent Unit for an Early Prediction of Sepsis.

Naoki Nonaka, Jun Seita

Proceedings of the 46th Computing in Cardiology, 2019

2018

General-to-Detailed GAN for Infrequent Class Medical Images.

Tatsuki Koga, Naoki Nonaka, Jun Sakuma, Jun Seita

CoRR, 2018

2010

MiDReG: A method of mining developmentally regulated genes using Boolean implications.

Debashis Sahoo, Jun Seita, Deepta Bhattacharya, Matthew A. Inlay, Irving L. Weissman, Sylvia K. Plevritis, David L. Dill

Proc. Natl. Acad. Sci. USA, 2010