Academic achievements

Peer-reviewed academic journal articles

• Pohl Michel, Uesaka Mitsuru, Takahashi Hiroyuki, Demachi Kazuyuki, and Chhatkuli Ritu Bhusal, "Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy", Computer Methods and Programs in Biomedicine (2022), impact factor 7.03 (2021), position 140/2240 in the category "Computer Science Applications" of the 2020 SJR ranking
  [Accepted manuscript version on ArXiv (open access)] [Published journal article on ScienceDirect] [Code on GitHub]
• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, and Chhatkuli Ritu Bhusal, "Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy", Computerized Medical Imaging and Graphics (2021), impact factor 7.42 (2021), position 16/610 in the category "Computer Vision and Pattern Recognition" of the 2020 SJR ranking
  [Accepted manuscript version on ArXiv (open access)] [Published journal article on ScienceDirect] [Code on GitHub]

Preprint articles under review

• Pohl Michel, Uesaka Mitsuru, Takahashi Hiroyuki, Demachi Kazuyuki, and Chhatkuli Ritu Bhusal, "Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally guided radiotherapy", Preprint submitted to "Computer Methods and Programs in Biomedicine" (2024)
  [Latest version (open access)]

Conferences in Japan (highlight)

• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, and Chhatkuli Ritu Bhusal, “Prediction of the position of external markers on the chest and abdomen using a recurrent neural network trained with real-time recurrent learning for accurate and safe lung cancer radiotherapy”, 2021 Spring Meeting of the Atomic Energy Society of Japan, online, March 2021
  [Presentation information] [One-page abstract]
• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, and Chhatkuli Ritu Bhusal, "3D internal points position prediction using a recurrent neural network for tumor tracking during lung cancer radiotherapy", 2020 Spring Meeting of the Atomic Energy Society of Japan, Fukushima, March 2020
  [Presentation information] [One-page abstract]
• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, Chhatkuli Ritu Bhusal and Haga Akihiro, "CT slice prediction with optical flow for delay compensation in image-guided lung radiotherapy", 12th Students' research meeting of the Kanto-Koetsu branch of the Atomic Energy Society of Japan, Tokyo, March 2019
• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, Chhatkuli Ritu Bhusal, and Haga Akihiro, "Optical flow and principal components analysis combination for tumor motion analysis during X-ray radiotherapy", 2018 Spring Meeting of the Atomic Energy Society of Japan, Osaka, March 2018
  [Presentation information] [One-page abstract]

International Workshop

• Pohl Michel, Uesaka Mitsuru, Demachi Kazuyuki, Chhatkuli Ritu Bhusal, and Haga Akihiro, "Optical flow for the calculation of lung motion during X-ray radiotherapy", SNU & Utokyo Joint Workshop, Seoul, July 2017

Awards

• September 2019: SEUT-RA (The University of Tokyo Doctoral Student Special Incentives Program) Type A (top 20 applicants in the 2nd year of the Ph.D. Program at the Grad. School of Engineering)
• March 2019: Encouragement Prize (oral presentation at the students' research meeting of the Kanto-Koetsu branch of the Atomic Energy Society of Japan, link in Japanese)
• March 2018: Idea Prize (students' poster session of the 2018 Annual Meeting of the Atomic Energy Society of Japan)
• 2016: Valedictorian award (M.Sc. in Signal and Image Processing, Centrale Marseille, video in French)

Service

• 2023: reviewer for IEEE Access