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Tatsuaki Kobayashi

Showing results (1-10 of 9) with videos related to

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Radiological Physics and Technology|July 6, 2022
RadiomicsJ: a library to compute radiomic featuresTatsuaki Kobayashi
Applications in Plant Sciences|May 5, 2016
Development and characterization of 14 microsatellite markers for Indigofera pseudotinctoria (Fabaceae)Tomoko Otao, Tatsuaki Kobayashi, Koichi Uehara
Radiological Physics and Technology|August 21, 2022
Classifying presence or absence of calcifications on mammography using generative contribution mappingTatsuaki Kobayashi, Takafumi Haraguchi, Tomoharu Nagao
Radiological Physics and Technology|July 29, 2025
Integrating MRI radiomics with novel fluid-based texture features (GLFZM) to predict atherothrombotic stroke riskTatsuaki Kobayashi, Satoru Kawai, Masami Goto
Nihon Hoshasen Gijutsu Gakkai Zasshi|July 22, 2015
Development of a Knowledge-based Application Utilizing Ontologies for the Continuing Site-specific JJ1017 Master MaintenanceTatsuaki Kobayashi, Shintaro Tsuji, Ayako Yagahara, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2021
[Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study]Takao Tanuma, Tatsuaki Kobayashi, Eichi Takaya, et al.
European Radiology|February 24, 2022
Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary studyHayato Tomita, Tatsuaki Kobayashi, Eichi Takaya, et al.
Journal of X-Ray Science and Technology|April 11, 2023
Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancerTakafumi Haraguchi, Yasuyuki Kobayashi, Daisuke Hirahara, et al.
Cancers|February 6, 2021
Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell CarcinomaHayato Tomita, Tsuneo Yamashiro, Joichi Heianna, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Radiological Physics and Technology|July 6, 2022
RadiomicsJ: a library to compute radiomic featuresTatsuaki Kobayashi
Applications in Plant Sciences|May 5, 2016
Development and characterization of 14 microsatellite markers for Indigofera pseudotinctoria (Fabaceae)Tomoko Otao, Tatsuaki Kobayashi, Koichi Uehara
Radiological Physics and Technology|August 21, 2022
Classifying presence or absence of calcifications on mammography using generative contribution mappingTatsuaki Kobayashi, Takafumi Haraguchi, Tomoharu Nagao
Radiological Physics and Technology|July 29, 2025
Integrating MRI radiomics with novel fluid-based texture features (GLFZM) to predict atherothrombotic stroke riskTatsuaki Kobayashi, Satoru Kawai, Masami Goto
Nihon Hoshasen Gijutsu Gakkai Zasshi|July 22, 2015
Development of a Knowledge-based Application Utilizing Ontologies for the Continuing Site-specific JJ1017 Master MaintenanceTatsuaki Kobayashi, Shintaro Tsuji, Ayako Yagahara, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2021
[Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study]Takao Tanuma, Tatsuaki Kobayashi, Eichi Takaya, et al.
European Radiology|February 24, 2022
Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary studyHayato Tomita, Tatsuaki Kobayashi, Eichi Takaya, et al.
Journal of X-Ray Science and Technology|April 11, 2023
Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancerTakafumi Haraguchi, Yasuyuki Kobayashi, Daisuke Hirahara, et al.
Cancers|February 6, 2021
Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell CarcinomaHayato Tomita, Tsuneo Yamashiro, Joichi Heianna, et al.
Pageof 1