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You searched for: Author/Creator Rundo, Leonardo

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1. 105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack. (17th July 2020)

2. 146 Ct radiomics in carotid artery atherosclerosis: a systematic evaluation of robustness, reproducibility and predictive performance for culprit lesions. (6th June 2022)

3. 3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. (September 2021)

5. A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. (June 2017)

7. A novel framework for MR image segmentation and quantification by using MedGA. (July 2019)

8. A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. (November 2019)