Multi-sequence magnetic resonance imaging (MRI) has found wide applicati...
Delineation of tumors and organs-at-risk permits detecting and correctin...
Deep learning models for organ contouring in radiotherapy are poised for...
Visually scoring lung involvement in systemic sclerosis from CT scans pl...
Medical image registration and segmentation are two of the most frequent...
Pulmonary lobe segmentation is an important preprocessing task for the
a...
Positron Emission Tomography (PET) is an imaging method that can assess
...
Manual or automatic delineation of the esophageal tumor in CT images is ...
Recently, joint registration and segmentation has been formulated in a d...
Adaptive intelligence aims at empowering machine learning techniques wit...
Contouring of the target volume and Organs-At-Risk (OARs) is a crucial s...
We propose a supervised nonrigid image registration method, trained usin...
Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL...
Joint image registration and segmentation has long been an active area o...
Predicting registration error can be useful for evaluation of registrati...
Image registration, the process of aligning two or more images, is the c...