Browsing by Author "Marin, Daniele"
Now showing items 1-10 of 10
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A mathematical framework to quantitatively balance clinical and radiation risk in Computed Tomography
(2021-12-01)Purpose: Risk in medical imaging is a combination of radiation risk and clinical risk, which is largely driven by the effective diagnosis. While radiation risk has traditionally been the main focus of Computed Tomography ... -
Correlation of pre-operative imaging characteristics with donor outcomes and operative difficulty in laparoscopic donor nephrectomy.
(American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019-09-25)This study aimed to understand the relationship of pre-operative measurements and risk factors on operative time and outcomes of laparoscopic donor nephrectomy. 242 kidney donors between 2010 and 2017 were identified. Patient's ... -
CT Radiomic Features of Superior Mesenteric Artery Involvement in Pancreatic Ductal Adenocarcinoma: A Pilot Study.
(Radiology, 2021-09-07)Background Current imaging methods for prediction of complete margin resection (R0) in patients with pancreatic ductal adenocarcinoma (PDAC) are not reliable. Purpose To investigate whether tumor-related and perivascular ... -
Deep learning based spectral extrapolation for dual-source, dual-energy x-ray computed tomography.
(Medical physics, 2020-09)<h4>Purpose</h4>Data completion is commonly employed in dual-source, dual-energy computed tomography (CT) when physical or hardware constraints limit the field of view (FoV) covered by one of two imaging chains. Practically, ... -
Evaluating renal lesions using deep-learning based extension of dual-energy FoV in dual-source CT-A retrospective pilot study.
(European journal of radiology, 2021-06)<h4>Purpose</h4>Dual-source (DS) CT, dual-energy (DE) field of view (FoV) is limited to the size of the smaller detector array. The purpose was to establish a deep learning-based approach to DE extrapolation by estimating ... -
LRP1B mutations are associated with favorable outcomes to immune checkpoint inhibitors across multiple cancer types.
(Journal for immunotherapy of cancer, 2021-03)<h4>Background</h4>Low-density lipoprotein receptor-related protein 1b (encoded by LRP1B) is a putative tumor suppressor, and preliminary evidence suggests LRP1B-mutated cancers may have improved outcomes with immune checkpoint ... -
Lawn Mower Versus Left Ventricular Assist Device
(JACC: Case Reports, 2020-03) -
Total risk index: a mathematical model for decision making based on clinical and radiation risk assessment in CT
(2019-12-04)Purpose. Radiological risk is a combination of radiation and clinical risk (likelihood of not delivering a proper diagnosis), which together may be characterized as a total risk index (TRI). While many strategies have been ... -
Validation of algorithmic CT image quality metrics with preferences of radiologists
(MEDICAL PHYSICS, 2019-11-01) -
Validation of Algorithmic CT Image Quality Metrics with Preferences of Radiologists.
(Medical physics, 2019-08-29)PURPOSE:Automated assessment of perceptual image quality on clinical Computed Tomography (CT) data by computer algorithms has the potential to greatly facilitate data-driven monitoring and optimization of CT image acquisition ...
