Yoshitaka Tokai - Concepedia

Author

Yoshitaka Tokai

Japanese Foundation For Cancer Research ORCID

Also Known As

K Namikawa, Tokai Yoshitaka, Y. Tokai, Y., Tokai, Yoshitaka Tokai

Publications

702

Citations

H-Index

Concepts

All Affiliations

Japanese Foundation For Cancer Research The Cancer Institute Hospital The University of Tokyo Toho University Toho University Ohashi Medical Center

About

Yoshitaka Tokai is an author at Japanese Foundation For Cancer Research specializing in medicine, gastroenterology, and surgery.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	389
2	Gastroenterology	5	5	278
3	Engineering	3	3	337
4	Health Sciences	2	2	36
5	General Surgery	1	1	16

Yoshitaka Tokai

Publications

558

Citations

H-Index

Page 1

	Year	Citations
Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging Yusuke Horiuchi, Kazuharu Aoyama, Yoshitaka Tokai, Digestive Diseases and Sciences Convolutional Neural NetworkImage AnalysisEngineeringMedical ImagingDeep Learning	2019	147
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma Yoshitaka Tokai, Toshiyuki Yoshio, Kazuharu Aoyama, Esophagus Artificial IntelligenceConvolutional Neural NetworkImage AnalysisMachine LearningDeep Learning	2020	111
Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos) Yusuke Horiuchi, Toshiaki Hirasawa, Naoki Ishizuka, Gastrointestinal Endoscopy EngineeringGastroenterologyDiagnosisSurgeryEndoscopic Imaging	2020	79
Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems Ken Namikawa, Toshiaki Hirasawa, Kaoru Nakano, Endoscopy	2020	46
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance Sho Shiroma, Toshiyuki Yoshio, Yusuke Kato, Scientific Reports	2021	38
Long‐term outcomes of esophageal squamous cell carcinoma with invasion depth of pathological T1a‐muscularis mucosae and T1b‐submucosa by endoscopic resection followed by appropriate additional treatment Sakiko Naito, Toshiyuki Yoshio, Akiyoshi Ishiyama, Digestive Endoscopy	2021	25
Additive Effect of Magnifying Endoscopy with Narrow-Band Imaging for Diagnosing Mixed-Type Early Gastric Cancers Yusuke Horiuchi, Yoshitaka Tokai, Noriko Yamamoto, Digestive Diseases and Sciences Medical ImagingMedicineInterventional Endoscopic UltrasoundGastroenterologyEus-guided Gastroenterostomy	2019	24
Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma Yohei Ikenoyama, Toshiyuki Yoshio, Junki Tokura, Endoscopy	2021	18
Incidence of metachronous cancer after endoscopic submucosal dissection: a comparison between undifferentiated-type and differentiated-type early gastric cancer Mitsuaki Ishioka, Toshiyuki Yoshio, Yuji Miyamoto, Gastrointestinal Endoscopy MedicineGastroenterologyPathologyEus-guided GastroenterostomySurgery	2020	16
Clinical outcomes of endoscopic resection of preoperatively diagnosed non-circumferential T1a-muscularis mucosae or T1b-submucosa 1 esophageal squamous cell carcinoma Ken Namikawa, Toshiyuki Yoshio, Shoichi Yoshimizu, Scientific Reports	2021	16

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