Megumi Nakao

Megumi Nakao

Kyoto University

H-index: 21

Asia-Japan

About Megumi Nakao

Megumi Nakao, With an exceptional h-index of 21 and a recent h-index of 12 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Biomedical Machine Intelligence, Biomedical Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest

Medical Image Synthesis and Statistical Reconstruction Methods

Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning

A biomarker study of atezolizumab (atezo) + bevacizumab (bev) + carboplatin (carbo) + paclitaxel (pac) (ABCP) for patients with NSCLC harboring EGFR mutations …

階層的潜在変数を用いた MeshVAE による臓器形状アトラスの構築

三次元変位場の学習に基づく腹部臓器を対象とした 2D/3D 深層画像位置合わせ

Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region

Three‐dimensional assessment of interfractional cervical and uterine motions using daily magnetic resonance images to determine margins and timing of replanning

Megumi Nakao Information

University

Position

Associate Professor Graduate School of Informatics

Citations(all)

1626

Citations(since 2020)

576

Cited By

1159

hIndex(all)

21

hIndex(since 2020)

12

i10Index(all)

50

i10Index(since 2020)

16

Email

University Profile Page

Kyoto University

Google Scholar

View Google Scholar Profile

Megumi Nakao Skills & Research Interests

Biomedical Machine Intelligence

Biomedical Engineering

Top articles of Megumi Nakao

Title

Journal

Author(s)

Publication Date

Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest

Available at SSRN 4777494

Wenhui Zhuang

Kimihiko Masui

Naoto Kume

Megumi Nakao

2024

Medical Image Synthesis and Statistical Reconstruction Methods

Megumi Nakao

2023

Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning

arXiv preprint arXiv:2301.10863

Tomoki Oya

Megumi Nakao

Tetsuya Matsuda

2023/1/25

A biomarker study of atezolizumab (atezo) + bevacizumab (bev) + carboplatin (carbo) + paclitaxel (pac) (ABCP) for patients with NSCLC harboring EGFR mutations …

Satoshi Watanabe

Naoki Furuya

Atsushi Nakamura

Jun Shiihara

Ichiro Nakachi

...

2023/6/1

階層的潜在変数を用いた MeshVAE による臓器形状アトラスの構築

電子情報通信学会技術報告 (MI)

梅原隆一, 中村光宏, 中尾恵

2023/11/7

三次元変位場の学習に基づく腹部臓器を対象とした 2D/3D 深層画像位置合わせ

研究報告コンピュータビジョンとイメージメディア (CVIM)

三浦龍人, 中村光宏, 中尾恵

2023/1/19

Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region

Journal of Applied Clinical Medical Physics

Hideaki Hirashima

Mitsuhiro Nakamura

Keiho Imanishi

Megumi Nakao

Takashi Mizowaki

2023/5

Three‐dimensional assessment of interfractional cervical and uterine motions using daily magnetic resonance images to determine margins and timing of replanning

Journal of Applied Clinical Medical Physics

Yukako Kishigami

Mitsuhiro Nakamura

Megumi Nakao

Hiroyuki Okamoto

Ayaka Takahashi

...

2023/10

Machine learning device, estimation device, non-transitory computer readable medium, and learned model

2023/4/18

生成型学習を用いた内視鏡カメラ画像に対する形状位置合わせ

研究報告コンピュータビジョンとイメージメディア (CVIM)

大矢友貴, 門松由佳, 芳川豊史, 中尾恵

2023/1/19

New method for delineation of the intersegmental line in a deflated lung

Journal of Thoracic Disease

Shoji Okado

Yuka Kadomatsu

Megumi Nakao

Harushi Ueno

Koichi Fukumoto

...

2023/9/9

Clinical application of resection process map as a novel surgical guide in thoracic surgery

Interdisciplinary CardioVascular and Thoracic Surgery

Yuka Kadomatsu

Megumi Nakao

Harushi Ueno

Shota Nakamura

Koichi Fukumoto

...

2023/4/1

CT 画像間の変位場を用いた Style Mixing の評価と解析

研究報告コンピュータビジョンとイメージメディア (CVIM)

栗山由也, 中村光宏, 中尾恵

2023/1/19

Impact of prior bevacizumab therapy on the incidence of ramucirumab-induced proteinuria in colorectal cancer: a multi-institutional cohort study

International Journal of Clinical Oncology

Satoshi Dote

Eiji Shiwaku

Emiko Kohno

Ryohei Fujii

Keiji Mashimo

...

2023/8

Shape reconstruction for undetectable regions of abdominal organs based on a graph convolutional network

Expert Systems with Applications

Zijie Wang

Megumi Nakao

Mitsuhiro Nakamura

Tetsuya Matsuda

2023/11/15

3 次元メッシュ変分オートエンコーダーを用いた臓器形状アトラスの構築

電子情報通信学会技術報告 (MI)

梅原隆一, 中村光宏, 中尾恵

2023/2/27

可変形 3 次元画像による大規模バーチャル手術手技アトラスと呼吸器外科手術ガイドシステムの創出

生体医工学

芳川豊史, 中尾恵

2023

Construction of Shape Atlas for Abdominal Organs using Three-Dimensional Mesh Variational Autoencoder

Ryuichi Umehara

Mitsuhiro Nakamura

Megumi Nakao

2023/7/24

ハンズフリーのデバイス操作のための汎用イヤラブルデバイスの IMU センサーを用いた表情認識手法

研究報告ユビキタスコンピューティングシステム (UBI)

北森迪耶, 坪内孝太, 西尾信彦, 西山勇毅, 下坂正倫, 楊心明, 門本淳一郎, 入江英嗣, 坂井修一, 崔明根, 坂本大介, 小野哲雄, 髙山英里, 渡邊恵太, 林大智, 岡拓也, 川島拓也, 簗瀬洋平, 大矢友貴, 中尾恵, 松田哲也, 三原翔一郎, 吉川慧司, 村上隆秀, 新保宏之, 菅野一平, 中村聡史, 飛鳥惇, 東孝文, 髙橋拓, 柴山咲希, 藤波香織, 中原ひかり, 松永康佑, 胥皓, 矢谷浩司, 横谷靖, 相馬仁, 吉崎翔大, 飯田勝吉, 高井昌彰, 巻口誉宗, 高田英明, 新島有信, 松井龍也, 横山正典

2023/11/14

Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs

IEEE Transactions on Medical Imaging

Megumi Nakao

Mitsuhiro Nakamura

Tetsuya Matsuda

2022

See List of Professors in Megumi Nakao University(Kyoto University)

Co-Authors

H-index: 44
Takashi Mizowaki

Takashi Mizowaki

Kyoto University

H-index: 43
Toyofumi Fengshi Chen-Yoshikawa

Toyofumi Fengshi Chen-Yoshikawa

Nagoya University

H-index: 25
Masayuki Ohzeki

Masayuki Ohzeki

Tohoku University

H-index: 24
Tomohiro Kuroda

Tomohiro Kuroda

Kyoto University

H-index: 16
Yoshihiro Kuroda

Yoshihiro Kuroda

University of Tsukuba

H-index: 12
Ryo Haraguchi

Ryo Haraguchi

University of Hyogo

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