Esophageal tumor segmentation in CT images using a dilated dense attention Unet (DDAUnet)
S Yousefi, H Sokooti, MS Elmahdy, IM Lips… - IEEE …, 2021 - ieeexplore.ieee.org
Manual or automatic delineation of the esophageal tumor in CT images is known to be very
challenging. This is due to the low contrast between the tumor and adjacent tissues, the …
challenging. This is due to the low contrast between the tumor and adjacent tissues, the …
ASL to PET translation by a semi-supervised residual-based attention-guided convolutional neural network
S Yousefi, H Sokooti, WM Teeuwisse… - arXiv preprint arXiv …, 2021 - arxiv.org
Positron Emission Tomography (PET) is an imaging method that can assess physiological
function rather than structural disturbances by measuring cerebral perfusion or glucose …
function rather than structural disturbances by measuring cerebral perfusion or glucose …
[PDF][PDF] an der.(2023, Februar 23)
MCE Plas - from https://hdl. handle. net/1887/3564723 … - scholarlypublications …
In this paper, the ability to quantify cerebral blood flow by arterial spin labeling (ASL) was
studied by investigating the separation of the macrovascular and tissue component using a …
studied by investigating the separation of the macrovascular and tissue component using a …
A deep learning approach for hemodynamic parameter estimation from multi-delay arterial spin-labelled MRI
Arterial spin-labelled (ASL) MRI is used to quantify cerebral blood flow and arterial transit
time. Currently, these parameters are not calculated at the scanner given the time …
time. Currently, these parameters are not calculated at the scanner given the time …