Hidetaka Arimura Laboratory, Kyushu University@
Hide Arimura Lab
Hidetaka Arimura Laboratory
Kyushu University, Division of Medical Quantum Sciences
Department of Health Sciences, Faculty of Medical Sciences
"Artificial intelligence-based diagnostic and treatment systems"
Our Keywords : Precision Medicine, Medical AI, Radiomics, Medical Images,
Data Science, Medical Physics, Medical Image Analysis, Medical Image Processing
Pattern Recognition, Machine Learning, Radiation Physics
Publication
Kodama Takumi, Arimura Hidetaka, Shirakawa Yumi, Ninomiya Kenta, Yoshitake Tadamasa, Shioyama Yoshiyuki.
Thoracic Cancer, 16 June 2022
https://doi.org/10.1111/1759-7714.14483
Kenta Ninomiya, Hidetaka Arimura, Tadamasa Yoshitake, Taka-aki Hirose, Yoshiyuki Shioyama, PLOS ONE, January 31, 2022
https://doi.org/10.1371/journal.pone.0263292
Feasibility for prediction of primary cancer sites of brain metastases based on Hessian index images
Kazutoshi MORIYAMA, Hidetaka ARIMURA, Kazuma KOBAYASHI, Quoc CUONG-LE, Akimasa URAKAMI, Kenta NINOMIYA, Takumi KODAMA, Hiroyuki OKAMOTO, Hiroshi IGAKI
Medical Imaging and Information Sciences
2022,39(3);57-67, September 30, 2022
(English abstract, Japanese body text)
https://doi.org/10.11318/mii.39.57
News & Informationnews
- December/24/2022
- γBͺρvuοΜ²Δΰ ζ[γpΚqόZpΘwR[Xuο12/24
- Decembe/11/2022
- Prof. Arimura has been invited to have a talk in AOCMP 2022, Taiwan
- Decembe/09/2022
- Prof. Arimura has been invited to have a talk in MCOR 2022, Malaysia
- November/21/2022
- A paper on "Recurrence prediction with local binary pattern-based
dosiomics in patients with head and neck squamous cell carcinoma"
has been accepted in Physical and Engineering Sciences in Medicine
Kamezawa H, Arimura H.et al. - November/17/2022
- A paper on "Dual segmentation models for poorly and well-differentiated
hepatocellular carcinoma using two-step transfer deep learning on dynamic
contrast-enhanced CT images" has been accepted in Physical and Engineering
Sciences in Medicine
Nagami N, Arimura H, et al. - November/10/2022
- Prof. Arimura received a Highly Cited Award in 35th JASTRO at Hiroshima
- October/25/2022
- Welcome BBQ party at Ohohori park
- October/01/2022
- New members have joined our laboratory! Please See Member
- September/28/2022
- Mr. Kodama received Research Fellowships for Young Scientists! JSPS
- September/22/2022
- Graduation Ceremony for international students at Kyushu University Congratulations! Cui-kun
- September/20/2022
- Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya & Kyushu University, Participants:79.
- September/17/2022
- One poster presentation at 114th JSMP in Nagasaki (Cui Y.)
- September/13/ 2022
- Arimura had a Keynote Speech in 5th International Conference of Computer and Informatics Engineering (IC2IE) Virtually Conference, Indonesia
- August/28/2022
- New paper published gPrediction of Intracranial Aneurysm Rupture Risk Using
Non-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance Angiography
Images: A Preliminary Studyh
Yamanouchi M, Arimura H, et al.
Applied Sciences, 2022, 12(17), 8615
https://www.mdpi.com/2076-3417/12/17/8615 - July/30/2022
- New paper published "Feasibility for prediction of primary cancer
sites of brain metastases based on Hessian index images"
MORIYAMA K, ARIMURA H, et al.
Medical Imaging and Information Sciences
2022,39(3);57-67, September 30, 2022
(English abstract, Japanese body text) 57-67 https://doi.org/10.11318/mii.39.57 - July/29-31/2022
- Three Oral presentations at JAMIT2022 in Nagoya (Uchino K, Hirakawa Y, Kodama T)
- July/10-14/2022
- One ePoster presentation at AAPM2022, LIVE and IN-PERSON Meeting (Iwasaki T.)
- June/16/2022
- New paper published " Relapse predictability of topological signature
on pretreatment planning CT images of stage I non-small cell lung cancer
patients before treatment with stereotactic ablative radiotherapy"
Kodama T, Arimura H, et al. Thoracic Cancer 2022
https://doi.org/10.1371/journal.pone.0263292 - June/12/2022
- Two Oral presentations Medical Physics and Biomedical Engineering (IUPESM WC2022) in Singapore hybrid congress (Cui Y, Kodama T.)
- April/14-17/2022
- Four Oral presentations at JRC2022 in Yokohama (Ikushima K, Iwasaki T,
Furuta R, Jin Y)
Invited Talk at JSMP on April 17 (Arimura H) - April/01/2022
- New members have joined our laboratory! Please See Member
- March/23/2022
- Graduation Ceremony at Kyushu University
- March/16/2022
- Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya & Kyushu University
- January/ 31/ 2022
- New paper published " Synergistic combination of a topologically invariant
imaging signature and a biomarker for the accurate prediction of symptomatic
radiation pneumonitis before stereotactic ablative radiotherapy for lung
cancer: A retrospective analysis"
Ninomiya K, Arimura H, et al. PLOS ONE
https://doi.org/10.1371/journal.pone.0263292
Hidemi Kamezawa, Hidetaka Arimura.et al.
Physical and Engineering Sciences in Medicine (accepted on Nov.21,2022)
Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Cui Yunhao, Kenta Ninomiya,Manabu Ogata, Mitsutoshi Oishi, Keiichi Ohira, Shigetoshi Kitamura, Hiroyuki Irie
Physical and Engineering Sciences in Medicine (accepted on Nov.17,2022)
Masayuki Yamanouchi, Hidetaka Arimura, Takumi Kodama, Akimasa Urakami
Applied Sciences, 2022, 12(17), 8615
August 28, 2022
https://www.mdpi.com/2076-3417/12/17/8615