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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 · 36 across the 8 of their papers we have counts for

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cs.CV2021★ 4 cited

Cross-Task Consistency Learning Framework for Multi-Task Learning

Akihiro Nakano, Shi Chen, Kazuyuki Demachi

Multi-task learning (MTL) is an active field in deep learning in which we train a model to jointly learn multiple tasks by exploiting relationships between the tasks. It has been s…

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…