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. - Michel Pohl; Mitsuru Uesaka; Kazuyuki Demachi; Ritu Bhusal Chhatkuli (Comput. Medical Imaging Graph., 2021)

Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy. - Michel Pohl; Mitsuru Uesaka; Hiroyuki Takahashi; Kazuyuki Demachi; Ritu Bhusal Chhatkuli (Comput. Methods Programs Biomed., 2022)

Comparison of Resting-State Functional Connectivity Between Generalized Anxiety Disorder and Social Anxiety Disorder: Differences in the Nucleus Accumbens and Thalamus Network. - Tomomi Nagano; Kohei Kurita; Tokiko Yoshida; Koji Matsumoto; Junko Ota; Ritu Bhusal Chhatkuli; Eiji Shimizu; Yoshiyuki Hirano (Brain Connect., 2024)

Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally guided radiotherapy. - Michel Pohl; Mitsuru Uesaka; Hiroyuki Takahashi; Kazuyuki Demachi; Ritu Bhusal Chhatkuli (CoRR, 2024)

Future frame prediction in chest cine MR imaging using the PCA respiratory motion model and dynamically trained recurrent neural networks. - Michel Pohl; Mitsuru Uesaka; Hiroyuki Takahashi; Kazuyuki Demachi; Ritu Bhusal Chhatkuli (CoRR, 2024)

Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy. - Michel Pohl; Mitsuru Uesaka; Hiroyuki Takahashi; Kazuyuki Demachi; Ritu Bhusal Chhatkuli (Comput. Methods Programs Biomed., 2025)