Yuki Himoto

助教 / Assistant Professor

Kyoto University

Japan

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About

Yuki Himoto is an Assistant Professor at Kyoto University in Japan. His research areas focus on the application of magnetic resonance imaging (MRI) in gynecological oncology, specifically in conditions such as adenomyosis, endometrial cancer, and placental function. Recent publications include studies on the diagnostic performance of imaging techniques and the differentiation of uterine fibroids and sarcomas. His work aims to enhance clinical practices through advanced imaging evaluation and predictive modeling in cancer diagnosis.

Articles (19)

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2025

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2022

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2022

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2022

Collaborators (5)

Aki Kido

Associate Professor

University of Toyama

JAPAN

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Ken Yamaguchi

Kyoto University

JAPAN

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Yuji Nakamoto

Kyoto University

JAPAN

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Sachiko Minamiguchi

准教授 / Associate Professor

Kyoto University

JAPAN

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Koji Fujimoto

特定准教授 / Program-Specific Associate Professor

Kyoto University

JAPAN

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Yuki Himoto

Research Interests

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About

Articles (19)

Uterine peristalsis of adenomyosis patients on cine magnetic resonance imaging

Limited diagnostic performance of imaging evaluation for staging in gastric-type endocervical adenocarcinoma: a multi-center study

Differentiation of uterine fibroids and sarcomas by MRI and serum LDH levels: a multicenter study of the KAMOGAWA study

Toward Clinical Implementation of Magnetic Resonance Imaging for Placental Function

Editorial for “Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes”

Preoperative Imaging Evaluation of Endometrial Cancer in FIGO 2023

Reply to Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression

A case of paraovarian tumor of borderline malignancy with decrease of apparent diffusion coefficient value and marked 18F-fluorodeoxyglucose accumulation

Alteration of gut microbiota signatures and its association with diarrhea during abemaciclib treatment: A multicenter prospective cohort study (KBCRN-A002 study)

Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features: a two-center study

Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion (vol 85, pg 161, 2022)

Survival impact of the degree of parametrial invasion on MRI in locally advanced cervical cancer

Nodal infiltration in endometrial cancer: a prediction model using best subset regression

Diagnostic Value of DCE-MRI for Differentiating Malignant Adnexal Masses Compared with Contrast-enhanced-T1WI

MR findings of polypoid endometriosis of female genital organs: report of three cases

MRI in the Diagnosis of Endometriosis and Related Diseases

MRI in the Diagnosis of Endometriosis and Related Diseases

Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion

Risk Stratification for Pregnancies Diagnosed With Fetal Growth Restriction Based on Placental MRI

Collaborators (5)

Aki Kido

Ken Yamaguchi

Yuji Nakamoto

Sachiko Minamiguchi

Koji Fujimoto

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