Symposium (Oral)

[23p-F307-1~6] Machine learning in radiation research

Wed. Mar 23, 2022 1:00 PM - 4:15 PM F307 (F307)

Kenji Shinozaki(AIST), Ota Ryosuke(Hamamatsu Photonics )

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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1:00 PM - 1:30 PM

[23p-F307-1] Brief tutorial of data-driven science for materials measurement

〇Yasunobu Ando¹ (1.AIST)

1:30 PM - 2:00 PM

[23p-F307-2] Extraction of physical information from extended X-ray absorption fine structure(EXAFS) data by sparse modeling

〇Yasuhiko Igarashi¹, Hiroyuki Kumazoe², Fabio Iesari³, Kazunori Iwamitsu², Okajima Toshihiro³, Yoshiki Seno⁴, Ichiro Akai², Masato Okada⁵ (1.Univ. Tsukuba, 2.Kumamoto Univ., 3.Aichi SR, 4.SAGA-LS, 5.Univ. Tokyo)

2:00 PM - 2:30 PM

[23p-F307-3] Japanese history of machine learning application in radiation measurement field and examples of applications at Kyushu University

〇Tadahiro Kin¹ (1.Kyushu Univ.)

2:45 PM - 3:15 PM

[23p-F307-4] It's never too late! Introduction to Deep Learning

〇Tomoki Saka¹ (1.Kanazawa Inst.)

3:15 PM - 3:45 PM

[23p-F307-5] Deep Learning in Medical Imaging

〇Fumio Hashimoto¹ (1.Hamamatsu Photonics)

3:45 PM - 4:15 PM

[23p-F307-6] Developments and applications of machine-learning technique to search for hypernuclear events

〇Manami Nakagawa¹ (1.RIKEN)

Sessions

Symposium » Machine learning in radiation research