Academic achievements

Peer-reviewed academic journal articles

• Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "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]
• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "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] [Lucas-Kanade optical flow code on GitHub] [Nadaraya-Watson image warping code on GitHub] [RTRL code on GitHub]

Preprint articles under review

• Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "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)] [Code on GitHub]
• Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "Future frame prediction in chest cine MR imaging using the PCA respiratory motion model and dynamically trained recurrent neural networks", Preprint submitted to "Computerized Medical Imaging and Graphics" (2024)
  [Latest version (open access)] [Code on GitHub]

Conferences in Japan (highlight)

• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, “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]
• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "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]
• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, Ritu Bhusal Chhatkuli and Akihiro Haga, "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
• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, Ritu Bhusal Chhatkuli, and Akihiro Haga, "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

• Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, Ritu Bhusal Chhatkuli, and Akihiro Haga, "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