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Brandon Tatani

Legnano / IT

Università degli Studi di Milano

Vortrag

12.09.2024
14:32 – 14:36 3 Min. 1 Min.
Eposter presentation
PP02.10
Fine tuning of deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy
Artificial intelligence, Clinical radiotherapy

Weitere Beteiligungen

12.09.2024
14:00 – 14:04 3 Min. 1 Min.
Eposter presentation
PP07.01
Machine learning model for patient-specific QA prediction in stereotactic radiosurgery
Artificial intelligence, Clinical radiotherapy
12.09.2024
14:32 – 14:36 3 Min. 1 Min.
Eposter presentation
PP02.10
Fine tuning of deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy
Artificial intelligence, Clinical radiotherapy
12.09.2024
14:52 – 14:56 3 Min. 1 Min.
Eposter presentation
PP03.14
Impact of non-linear resampling to 8-bit CT for total marrow lymph-node irradiation plans
Clinical radiotherapy, Innovative radiotherapy and medical imaging
12.09.2024
17:00 – 17:10 8 Min. 2 Min.
Abstract talk
SC14.02
Targeted patient-specific quality assurance supported by machine learning and lean six sigma for volumetric modulated arc therapy plans
Artificial intelligence, Clinical radiotherapy
12.09.2024
17:30 – 17:40 8 Min. 2 Min.
Abstract talk
SC13.05
Knowledge-based planning of total marrow lymph-node irradiation delivered with volumetric modulated arc therapy
Artificial intelligence, Clinical radiotherapy
13.09.2024
14:44 – 14:48 3 Min. 1 Min.
Eposter presentation
PP18.12
Machine learning-aided automatable replanning tool to improve the patient-specific quality assurance of modulated radiotherapy plans
Clinical radiotherapy