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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




CT image-based biopsy to aid prediction of HOPX expression status and prognosis for non-small cell lung cancer patients

Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai
Cancers 2023, 15(8), 2220
Published: 10 April 2023
https://doi.org/10.3390/cancers15082220


Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients

Kenta Ninomiya, Hidetaka Arimura, Kentaro Tanaka, Wai Yee Chan, Yutaro Kabata, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng
Computer Methods and Programs in Biomedicine (accepted on 7 April 2023)
https://doi.org/10.1016/j.cmpb.2023.107544


Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images

Kojiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu, Hidemi Kamezawa, Kenta Ninomiya
Magnetic Resonance Materials in Physics, Biology and Medicine, (Published: 20 April 2023)
https://doi.org/10.1007/s10334-023-01084-0


Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma

Hidemi Kamezawa, Hidetaka Arimura.
Physical and Engineering Sciences in Medicine December 05 2022
https://doi.org/10.1007/s13246-022-01201-8


Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images

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
December 22, 2022

https://doi.org/10.1007/s13246-022-01202-7



Prediction of intracranial aneurysm rupture risk using non-invasive radiomics analysis based on follow-up magnetic resonance angiography images:A preliminary study

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




News & Informationnews

April/22/2023
Last up Date
April/17/2023
Prof. Ronnie Wirestam from Lund University in Sweden has visiting our department for an educational program. April/17-June17/2023
April/16/2023
Prof. Arimura had an invited talk in the 125 JSMP
April/13-15/2023
Seven Oral presentations at JRC2022 in Yokohama (Nagami, Yamanouchi, Quock, Kodama, Jin, Eda, Mitsuhima)
April/10/2023
New paper published
"CT image-based biopsy to aid prediction of HOPX expression status and prognosis for non-small cell lung cancer patients"
Jin Y, Arimura H.et al.
Cancers 2023, 15(8), 2220
https://www.mdpi.com/2072-6694/15/8/2220
April/07/2023
A paper on
"Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients"
has been accepted in Computer Methods and Programs in Biomedicine
Ninomiy K, Arimura H.et al. https://doi.org/10.1016/j.cmpb.2023.107544
April/01/2023
New members have joined our laboratory! Please See Member
March/23/2023
A paper on
gTopology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance imagesh
has been accepted in Magnetic Resonance Materials in Physics, Biology and Medicine
Ikushima K, Arimura H.et al.
March/20/2023
Graduation Ceremony at Kyushu University
March/11/2023
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March/08/2023
Prof. Arimura With Dr. Kondo and Mr. Kodama visited Taylor's University
Host: Dr. Chai Hong Yeong, PhD.
March/07/2023
4th Symposium on Intelligent Data Science for Radiological Imaging (4th iDSRI) between Universiti Malaya & Kyushu University
March/4-8/2023
Prof. Arimura With Dr. Kondo and Mr. Kodama visited University Malaya
Host: Dr. Kwan Hoong Ng, Dr. Jeannie Hsiu Ding Wong.
February/26/2023
Ms. Alya Rusdiana from Bandung Institute of Technology (ITB) in Indonesia joined the lab as a short-term exchange student. February/26/2023-May/23/2023
February/19-23/2023
One e-Poster presentation at SPIE Medical Imaging 2023 in San Diego (Kodama T)
February/11/2023
One Oral presentation at MII the 195Meeting in Nagoya (YiZhi Tong)
January/16/2023
Prof. Anchali Krisanachinda of Chulalongkorn University gave a class on COIL (Collaborative Online International Learning)
January/16/2023
Dr. Saw Shier Nee of University of Malaya gave a class on Special lecture (hands-on lecture-part 2)
Decembe/24/2022
Dr. Saw Shier Nee of University of Malaya gave a class on Special lecture (hands-on lecture-part1)
Decembe/24/2022
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Decembe/23/2022
Mr. Hamasaki received Best Student Award from AOCMP 2022, Congratulations!
"Noninvasive Prediction of Myocardial Ischemia Based on Fractional Flow Reserve Derived from Coronary Computed Tomography"
Decembe/11/2022
Prof. Arimura has been invited to have a talk in AOCMP 2022, Taiwan
Decembe/11/2022
Two Poster presentations at AOCMP 2022, Taiwan (Hamasaki H, Uchino K)
Decembe/09/2022
Prof. Arimura has been invited to have a talk in MCOR 2022, Malaysia
November/21/2022
New paper published "Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma" Kamezawa H, Arimura H.et al.been accepted in Physical and Engineering Physical and Engineering Sciences in Medicine 46, 99-107 (2023)
https://doi.org/10.1007/s13246-022-01201-8
November/17/2022
New paper published "Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images" Nagami N, Arimura H Nagami N, Arimura H,et al. Physical and Engineering Sciences in Medicine 46, 83-97 (2023) https://doi.org/10.1007/s13246-022-01202-7
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 (DC1)Congratulations! JSPS
September/22/2022
Graduation Ceremony for international students at Kyushu University Congratulations! Cui-kun
September/20/2022
3th 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 Studyh
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

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