My blog article about the prediction of the position of external markers on the chest with RNNs for safer radiotherapy.
Academic achievements
Peer-reviewed academic journal articles
- Michel Pohl, Mitsuru Uesaka, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy", Computer Methods and Programs in Biomedicine (2025)
[arXiv preprint] [Published version] [Code on GitHub] - 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)
[arXiv preprint] [Published version] [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)
[arXiv preprint] [Published version] [Code: Lucas-Kanade optical flow] [Code: RTRL] [Code: Nadaraya-Watson image warping]
Preprint articles under review
- Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi, Kazuyuki Demachi, and Ritu Bhusal Chhatkuli, "Future frame prediction in chest and liver cine MRI using the PCA respiratory motion model: comparing transformers and dynamically trained recurrent neural networks", Preprint submitted to "Computerized Medical Imaging and Graphics" (2026)
[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)
Service
- 2023: reviewer for IEEE Access