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Academic Radiology
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May 20, 2017
Response to the Letter from LUNGx Challenge
Mizuho Nishio
AJR. American Journal of Roentgenology
|
July 9, 2025
Clinical Usefulness of Multimodal Generative Artificial Intelligence on Chest Radiography
Mizuho Nishio
Academic Radiology
|
January 24, 2017
Computer-aided Diagnosis for Lung Cancer: Usefulness of Nodule Heterogeneity
Mizuho Nishio, Chihiro Nagashima
Peerj. Computer Science
|
December 9, 2024
Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model
Mizuho Nishio, Eiji Ota
Plos One
|
February 15, 2018
Heterogeneity in pulmonary emphysema: Analysis of CT attenuation using Gaussian mixture model
Mizuho Nishio, Yutaka Tanaka
Radiology
|
July 12, 2022
MRI-based Radiomics Models for Pretreatment Risk Stratification of Endometrial Cancer
Aki Kido, Mizuho Nishio
Journal of Magnetic Resonance Imaging : JMRI
|
April 8, 2020
Editorial for "A Multiparametric MRI-based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma"
Aki Kido, Mizuho Nishio
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
June 19, 2024
[[Applications] 11. Automatic Generation of Radiology Reports for Chest X-ray Images]
Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga
Plos One
|
January 23, 2019
Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules
Mizuho Nishio, Takeshi Kubo, Kaori Togashi
International Journal of Chronic Obstructive Pulmonary Disease
|
September 24, 2016
Application of the homology method for quantification of low-attenuation lung region inpatients with and without COPD
Mizuho Nishio, Kazuaki Nakane, Yutaka Tanaka
Page
of 9
Search research articles
Search
Showing results (1-10 of 89) with videos related to
Sort By:
Page
of 9
Academic Radiology
|
May 20, 2017
Response to the Letter from LUNGx Challenge
Mizuho Nishio
AJR. American Journal of Roentgenology
|
July 9, 2025
Clinical Usefulness of Multimodal Generative Artificial Intelligence on Chest Radiography
Mizuho Nishio
Academic Radiology
|
January 24, 2017
Computer-aided Diagnosis for Lung Cancer: Usefulness of Nodule Heterogeneity
Mizuho Nishio, Chihiro Nagashima
Peerj. Computer Science
|
December 9, 2024
Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model
Mizuho Nishio, Eiji Ota
Plos One
|
February 15, 2018
Heterogeneity in pulmonary emphysema: Analysis of CT attenuation using Gaussian mixture model
Mizuho Nishio, Yutaka Tanaka
Radiology
|
July 12, 2022
MRI-based Radiomics Models for Pretreatment Risk Stratification of Endometrial Cancer
Aki Kido, Mizuho Nishio
Journal of Magnetic Resonance Imaging : JMRI
|
April 8, 2020
Editorial for "A Multiparametric MRI-based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma"
Aki Kido, Mizuho Nishio
Nihon Hoshasen Gijutsu Gakkai Zasshi
|
June 19, 2024
[[Applications] 11. Automatic Generation of Radiology Reports for Chest X-ray Images]
Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga
Plos One
|
January 23, 2019
Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules
Mizuho Nishio, Takeshi Kubo, Kaori Togashi
International Journal of Chronic Obstructive Pulmonary Disease
|
September 24, 2016
Application of the homology method for quantification of low-attenuation lung region inpatients with and without COPD
Mizuho Nishio, Kazuaki Nakane, Yutaka Tanaka
Page
of 9