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LMU ART Lab

Lorenzo Placidi

Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects
Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives

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