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Radiogenomics and Radioproteomics for Precision Medicine

Medical Imaging and Information Sciences, 2023, Vol.40(4), pp.85-87

Uchiyama, Yoshikazu

2023

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Prediction of pathological complete response using radiomics on MRI in patients with breast cancer undergoing neoadjuvant pharmacotherapy

International journal for computer assisted radiology and surgery, 2022-04, Vol.17 (4), p.619-625

2022

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Prediction of COVID‐19 patients in danger of death using radiomic features of portable chest radiographs

Journal of medical radiation sciences, 2023-03, Vol.70 (1), p.13-20

2023

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Movements of Ancient Human Endogenous Retroviruses Detected in SOX2-Expressing Cells

Journal of virology, 2022-05, Vol.96 (9), p.e0035622-e0035622

2022

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Radiomic Researches for Lung Cancer

Medical Imaging and Information Sciences, 2021/07/06, Vol.38(2), pp.59-60

UCHIYAMA, Yoshikazu

2021

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The Nature of the HTLV-1 Provirus in Naturally Infected Individuals Analyzed by the Viral DNA-Capture-Seq Approach

Cell reports (Cambridge), 2019-10, Vol.29 (3), p.724-735.e4

2019

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Development of an automated region-of-interest-setting method based on a deep neural network for brain perfusion single photon emission computed tomography quantification methods

Asia oceania journal of nuclear medicine and biology, 2024-01, Vol.12 (2), p.120-130

2024

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Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning

Asia oceania journal of nuclear medicine and biology, 2024-01, Vol.12 (2), p.108-119

2024

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Selection of Radiological Physics and Technology Awards 2023

Radiological physics and technology, 2024-03, Vol.17 (1), p.9-10

2024

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Prognostic Prediction of Lung Cancer Patients Using Random Survival Forest

Medical Imaging and Information Sciences, 2019/06/30, Vol.36(2), pp.93-97

2019

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Dynamics and mechanisms of clonal expansion of HIV-1-infected cells in a humanized mouse model

Scientific reports, 2017-07, Vol.7 (1), p.6913-12, Article 6913

2017

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Analysis of the Relationship between Image and Blood Examinations in an Artificial Intelligence System for the Molecular Diagnosis of Breast Cancer

Open journal of applied sciences (Irvine, CA), 2021, Vol.11 (9), p.1016-1027

2021

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Computer Aided Diagnosis for Cerebrovascular Diseases on MR images

Medical Imaging and Information Sciences, 2014/08/25, Vol.31(2), pp.xxiii-xxvii

UCHIYAMA, Yoshikazu

2014

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Reorganization of Radiomics and New Possibilities

Medical Imaging and Information Sciences, 2024, Vol.41(2), pp.37-40

Uchiyama, Yoshikazu

2024

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Data Visualization for Decision Support in Radiomics

Medical Imaging and Information Sciences, 2022, Vol.39(1), pp.1-6

2022

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Announcement of nominations for the Radiological Physics and Technology awards 2022

Radiological physics and technology, 2023-03, Vol.16 (1), p.8-9

2023

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Discrimination of Positive and Negative Hormone Receptor in Breast Cancer by using Radioproteomics

Medical Imaging and Information Sciences, 2023, Vol.40(1), pp.1-6

2023

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Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images

Radiological physics and technology, 2018-09, Vol.11 (3), p.265-273

2018

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Feasibility of Deep Convolution Neural Network-Based Automatic Time Activity Curve Fitting Method for Non-Invasive Cerebral Blood Flow Quantification

RADIATION SAFETY MANAGEMENT, 2023, Vol.22, p.7-17, Article 231218

2023

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Proportional Hazards Assumption of Radiomic Features in Survival Analysis

Medical Imaging and Information Sciences, 2021/03/29, Vol.38(1), pp.15-20

2021

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A micro-disc-based multiplex method for monitoring emerging SARS-CoV-2 variants using the molecular diagnostic tool Intelli-OVI

Communications medicine, 2024-08, Vol.4 (1), p.161-15, Article 161

2024

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Morphology filter bank for extracting nodular and linear patterns in medical images

International journal for computer assisted radiology and surgery, 2017-04, Vol.12 (4), p.617-625

2017

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A Fast and Fully Automatic Method for Cerebrovascular Segmentation on Time-of-Flight (TOF) MRA Image

Journal of digital imaging, 2011-08, Vol.24 (4), p.609-625

2011

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Analysis of the Relationship Between Radiomic Features and Gene Expression for Stratification of Hepatocellular Carcinomas

Medical Imaging and Information Sciences, 2020/09/30, Vol.37(3), pp.52-57

2020

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Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique

Radiological physics and technology, 2015-01, Vol.8 (1), p.53-59

2015

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Radiogenomics and Radioproteomics for Precision Medicine

Prediction of pathological complete response using radiomics on MRI in patients with breast cancer undergoing neoadjuvant pharmacotherapy

Prediction of COVID‐19 patients in danger of death using radiomic features of portable chest radiographs

Movements of Ancient Human Endogenous Retroviruses Detected in SOX2-Expressing Cells

Radiomic Researches for Lung Cancer

The Nature of the HTLV-1 Provirus in Naturally Infected Individuals Analyzed by the Viral DNA-Capture-Seq Approach

Development of an automated region-of-interest-setting method based on a deep neural network for brain perfusion single photon emission computed tomography quantification methods

Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning

Selection of Radiological Physics and Technology Awards 2023

Prognostic Prediction of Lung Cancer Patients Using Random Survival Forest

Dynamics and mechanisms of clonal expansion of HIV-1-infected cells in a humanized mouse model

Analysis of the Relationship between Image and Blood Examinations in an Artificial Intelligence System for the Molecular Diagnosis of Breast Cancer

Computer Aided Diagnosis for Cerebrovascular Diseases on MR images

Reorganization of Radiomics and New Possibilities

Data Visualization for Decision Support in Radiomics

Announcement of nominations for the Radiological Physics and Technology awards 2022

Discrimination of Positive and Negative Hormone Receptor in Breast Cancer by using Radioproteomics

Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images

Feasibility of Deep Convolution Neural Network-Based Automatic Time Activity Curve Fitting Method for Non-Invasive Cerebral Blood Flow Quantification

Proportional Hazards Assumption of Radiomic Features in Survival Analysis

A micro-disc-based multiplex method for monitoring emerging SARS-CoV-2 variants using the molecular diagnostic tool Intelli-OVI

Morphology filter bank for extracting nodular and linear patterns in medical images

A Fast and Fully Automatic Method for Cerebrovascular Segmentation on Time-of-Flight (TOF) MRA Image

Analysis of the Relationship Between Radiomic Features and Gene Expression for Stratification of Hepatocellular Carcinomas

Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique

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