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eess.IV2024★ 2 cited
Frame forecasting in cine MRI using the PCA respiratory motion model: comparing recurrent neural networks trained online and transformers
Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi +2
Respiratory motion complicates accurate irradiation of thoraco-abdominal tumors during radiotherapy, as treatment-system latency entails target-location uncertainties. This work ad…
eess.IV2021★ 11 cited
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 +2
During lung radiotherapy, the position of infrared reflective objects on the chest can be recorded to estimate the tumor location. However, radiotherapy systems have a latency inhe…