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 Studyh
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 accepteduwbZwζΙξΓ]]ΪξαΜ΄θΜΒ\«v XRarALΊGFA¬ΡanAQuoc Cuong-LeAYγτςAρ{ΎAZΚρ€Aͺ{TVAδ__Aγpζξρwο,
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)
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
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