2 citations · 4 across the 8 of their papers we have counts for
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Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri +3
Radiotherapy requires precise segmentation of organs at risk (OARs) and of the Clinical Target Volume (CTV) to maximize treatment efficacy and minimize toxicity. While deep learnin…
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs
Leonardo Crespi, Samuele Camnasio, Damiano Dei +4
In many clinical settings, the use of both Computed Tomography (CT) and Magnetic Resonance (MRI) is necessary to pursue a thorough understanding of the patient's anatomy and to pla…
Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri +3
In order to optimize the radiotherapy delivery for cancer treatment, especially when dealing with complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI), the acc…