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Hidetaka Arimura Laboratory, Kyushu University@

Activities

Activities 2022


JAMIT 2022 in Nagoya

December/24/2022
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December/09/2022
Prof. Arimura has been invited to have a talk in AOCMP2022,Taiwan
December/09/2022
Prof. Arimura has been invited to have a talk in MCOR 2022, Malaysian
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
NagamiN, 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
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 Computerand Informatics Engineering (IC2IE) Virtually online Conference, Indonesia
August/28/2022
New paper published gPrediction of Intracranial Aneurysm Rupture Risk UsingNon-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance AngiographyImages: A Preliminary Studyh
Yamanouchi M, Arimura H, et al.
Applied Sciences, 2022, 12(17), 8615
https://www.mdpi.com/2076-3417/12/17/8615
July/29-31/2022
Three presentations at JAMIT2022 in Nagoya (Uchino K, Hirakawa Y, Kodama T)
July/30/2022
New paper accepteduƒwƒbƒZŽw”‰ζ‘œ‚ΙŠξ‚Γ‚­”]“]ˆΪŽξα‡‚ΜŒ΄”­‘ƒ„’θ‚Μ‰Β”\«v XŽR˜arA—L‘ΊGFA¬—Ρ˜a”nAQuoc Cuong-LeA‰YγτˆςA“ρ‹{Œ’‘ΎA™Z‹Κ‘ρ–€A‰ͺ–{—T”VAˆδŠ__Aˆγ—p‰ζ‘œξ•ρŠw‰οŽ, Published on September/30/2022
July/10-14/2022
One presentation at AAPM2022, LIVE and IN-PERSON Annual Meeting (Iwasaki)
June/12-17/2022
Two presentations in Medical Physics and Biomedical Engineering (IUPESM WC2022) in Singapore hybrid congress (Cui, Kodama)
June/16/2022
New paper published by Thoracic Cancer
"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.
https://doi.org/10.1111/1759-7714.14483
April/13-17/2022
Four presentations at JRC2022 in Yokohama (Ikushima, Iwasaki, Furuta, Jin)
Invited Talk at JSMP on April 17 (Arimura)
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 by PLOS ONE
" 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.
https://doi.org/10.1371/journal.pone.0263292




Hide Arimura Lab

Hidetaka Arimura, PhD
Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical Sciences,
Kyushu University
3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan