This retrospective study aims to evaluate the generalizability of a promising state-of-the-art
multitask deep learning (DL) model for predicting the response of locally advanced rectal …

Purpose To correlate dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
parameters to tumor grading and to assess their reliability in predicting pathological …

Objectives To validate and adapt a modified two-compartment model, originally developed
for magnetic resonance imaging, for measuring human single-kidney glomerular filtration …

Purpose The prediction of an infiltration of the mesorectal fascia (MRF) and malignant lymph
nodes is essential for treatment planning and prognosis of patients with rectal cancer. The …

Background Although several studies have evaluated dynamic contrast‐enhanced (DCE)
MRI in the orbit, showing its utility when detecting and diagnosing orbital lesions, none have …

Purpose Normothermic perfusion is an emerging strategy for donor organ preservation and
therapy, incited by the high worldwide demand for organs for transplantation …

To compare in patients with untreated rectal cancer quantitative perfusion parameters
calculated from 3rd-generation dual-source dynamic volume perfusion CT (dVPCT) with 3 …

Introduction In 25% of women, symptomatic uterus myomas are diagnosed with clinical and
functional impairment ranging from abdominal and pelvic pain to dys-and hypermenorrhea …

Abstract Development of a deterministic algorithm for automated detection of the Arterial
Input Function (AIF) in DCE-MRI of colorectal cancer. Using a filter pipeline to determine the …

Abstract Dynamic-Contrast-Enhanced (DCE) Imaging has been widely studied to
characterize microcirculatory disorders associated with various diseases. Although …