Hiroki Suyari

About Hiroki Suyari

Hiroki Suyari, With an exceptional h-index of 13 and a recent h-index of 8 (since 2020), a distinguished researcher at Chiba University, specializes in the field of Applied Information Theory, Nonextensive Statistical Mechanics.

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

Improving respiratory signal prediction with a deep neural network and simple changes to the input and output data format

Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosis

Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatment

Optimizing 3DCT image registration for interfractional changes in carbon-ion prostate radiotherapy

Spatiotemporal forecasting of vertical track alignment with exogenous factors

Multidimensional deep learning reduces false-positives in the automated detection of cerebral aneurysms on time-of-flight magnetic resonance angiography: a multi-center study

Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer

Development of attenuation correction methods using deep learning in brain‐perfusion single‐photon emission computed tomography

Hiroki Suyari Information

University

Position

___

Citations(all)

820

Citations(since 2020)

232

Cited By

655

hIndex(all)

13

hIndex(since 2020)

8

i10Index(all)

18

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Hiroki Suyari Skills & Research Interests

Applied Information Theory

Nonextensive Statistical Mechanics

Top articles of Hiroki Suyari

Title

Journal

Author(s)

Publication Date

Improving respiratory signal prediction with a deep neural network and simple changes to the input and output data format

Physics in Medicine and Biology

Ryusuke Hirai

Shinichiro Mori

HS Suyari

Hitoshi Ishikawa

2024/2/21

Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosis

Heart and Vessels

Manami Takahashi

Reika Kosuda

Hiroyuki Takaoka

Hajime Yokota

Yasukuni Mori

...

2023/11

Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatment

Physical and Engineering Sciences in Medicine

Toshio Kumakiri

Shinichiro Mori

Yasukuni Mori

Ryusuke Hirai

Ayato Hashimoto

...

2023/6

Optimizing 3DCT image registration for interfractional changes in carbon-ion prostate radiotherapy

Scientific Reports

Ryusuke Hirai

Shinichiro Mori

Hiroki Suyari

Hiroshi Tsuji

Hitoshi Ishikawa

2023/5/8

Spatiotemporal forecasting of vertical track alignment with exogenous factors

Scientific Reports

Katsuya Kosukegawa

Yasukuni Mori

Hiroki Suyari

Kazuhiko Kawamoto

2023/2/9

Multidimensional deep learning reduces false-positives in the automated detection of cerebral aneurysms on time-of-flight magnetic resonance angiography: a multi-center study

Frontiers in Neurology

Yuki Terasaki

Hajime Yokota

Kohei Tashiro

Takuma Maejima

Takashi Takeuchi

...

2022/1/18

Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer

Scientific Reports

Yasukuni Mori

Hajime Yokota

Isamu Hoshino

Yosuke Iwatate

Kohei Wakamatsu

...

2021/8/13

Development of attenuation correction methods using deep learning in brain‐perfusion single‐photon emission computed tomography

Medical Physics

Taisuke Murata

Hajime Yokota

Ryuhei Yamato

Takuro Horikoshi

Masato Tsuneda

...

2021/8

A deep convolutional neural network with performance comparable to radiologists for differentiating between spinal schwannoma and meningioma

Spine

Satoshi Maki

Takeo Furuya

Takuro Horikoshi

Hajime Yokota

Yasukuni Mori

...

2020/5/15

Advantages of q-logarithm representation over q-exponential representation from the sense of scale and shift on nonlinear systems

The European Physical Journal Special Topics

Hiroki Suyari

Hiroshi Matsuzoe

Antonio M Scarfone

2020/3

See List of Professors in Hiroki Suyari University(Chiba University)