Hayato Tomita

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 5

Top Topics

Computed Tomography

Diffusion Weighted

Top Venues

European radiology

International journal of endocrinology

This page only lists publications with an associated author ORCID identifier.

Publications

Hayato Tomita, Tatsuaki Kobayashi, Eichi Takaya, Sono Mishiro, Daisuke Hirahara, Atsuko Fujikawa, Yoshiko Kurihara, Hidefumi Mimura, Yasuyuki Kobayashi
Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study. European radiology 32 (8) (2022)
Hayato Tomita, Yuki Deguchi, Hirofumi Fukuchi, Atsuko Fujikawa, Yoshiko Kurihara, Kaoru Kitsukawa, Hidefumi Mimura, Yasuyuki Kobayashi
Combination of compressed sensing and parallel imaging for T2-weighted imaging of the oral cavity in healthy volunteers: comparison with parallel imaging. European radiology 31 (8) (2021)
Hayato Tomita, Tsuneo Yamashiro, Joichi Heianna, Toshiyuki Nakasone, Tatsuaki Kobayashi, Sono Mishiro, Daisuke Hirahara, Eichi Takaya, Hidefumi Mimura, Sadayuki Murayama, Yasuyuki Kobayashi
Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma. Cancers 13 (4) (2021)
Hayato Tomita, Tsuneo Yamashiro, Joichi Heianna, Toshiyuki Nakasone, Yusuke Kimura, Hidefumi Mimura, Sadayuki Murayama
Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography. European radiology 31 (10) (2021)
Hayato Tomita, Hirofumi Kuno, Kotaro Sekiya, Katharina Otani, Osamu Sakai, Baojun Li, Takashi Hiyama, Keiichi Nomura, Hidefumi Mimura, Tatsushi Kobayashi
Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions. International journal of endocrinology 2020 (2020)