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Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma.
Tomita H, Yamashiro T, Heianna J, Nakasone T, Kobayashi T, Mishiro S, Hirahara D, Takaya E, Mimura H, Murayama S, Kobayashi Y. Tomita H, et al. Among authors: kobayashi y, kobayashi t. Cancers (Basel). 2021 Feb 3;13(4):600. doi: 10.3390/cancers13040600. Cancers (Basel). 2021. PMID: 33546279 Free PMC article.
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.
Tomita H, Kobayashi T, Takaya E, Mishiro S, Hirahara D, Fujikawa A, Kurihara Y, Mimura H, Kobayashi Y. Tomita H, et al. Among authors: kobayashi y, kobayashi t. Eur Radiol. 2022 Aug;32(8):5353-5361. doi: 10.1007/s00330-022-08630-9. Epub 2022 Feb 24. Eur Radiol. 2022. PMID: 35201406
J-AVENUE: A retrospective, real-world study evaluating patient characteristics and outcomes in patients with advanced urothelial carcinoma treated with avelumab first-line maintenance therapy in Japan.
Kikuchi E, Hayakawa N, Nakayama M, Uno M, Nakatsu H, Kitagawa C, Miyake H, Yamada T, Fujita K, Shimoyama H, Nishihara K, Kobayashi M, Nakamura M, Fujimoto K, Sano T, Nishiyama N, Ito T, Kajita M, Kobayashi T, Kitamura H. Kikuchi E, et al. Among authors: kobayashi t. Int J Urol. 2024 May 9. doi: 10.1111/iju.15473. Online ahead of print. Int J Urol. 2024. PMID: 38722221
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