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 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)
- 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