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20212024
most citedPrediction 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

16 citations · 32 across the 4 of their papers we have counts for

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2 papers · 1 filter

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…

cs.LG2024★ 3 cited

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 +2

In lung radiotherapy, infrared cameras can track reflective objects on the chest to estimate tumor motion due to breathing, but treatment system latencies hinder radiation beam pre…