Generative adversarial registration for improved conditional deformable templates
Deformable templates are essential to large-scale medical image registration, segmentation,
and population analysis. Current conventional and deep network-based methods for …
and population analysis. Current conventional and deep network-based methods for …
Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans
C Brossard, J Grèze, JA de Busschère, A Attyé… - Scientific Reports, 2023 - nature.com
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI)
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …
[HTML][HTML] Age-specific structural fetal brain atlases construction and cortical development quantification for chinese population
In magnetic resonance imaging (MRI) studies of fetal brain development, structural brain
atlases usually serve as essential references for the fetal population. Individual images are …
atlases usually serve as essential references for the fetal population. Individual images are …
Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients
Background Lesion-symptom mapping (LSM) is a statistical technique to investigate the
population-specific relationship between structural integrity and post-stroke clinical outcome …
population-specific relationship between structural integrity and post-stroke clinical outcome …
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas
The Human BioMolecular Atlas Program (HuBMAP) provides an opportunity to contextualize
findings across cellular to organ systems levels. Constructing an atlas target is the primary …
findings across cellular to organ systems levels. Constructing an atlas target is the primary …
Prediction of clinical outcomes in acute ischaemic stroke patients: a comparative study
Background: Clinical stroke rehabilitation decision making relies on multi-modal data,
including imaging and other clinical assessments. However, most previously described …
including imaging and other clinical assessments. However, most previously described …
A regional stocktake of maize yield vulnerability to droughts in the Horn of Africa
Climate projections in sub-Saharan Africa predict increased frequency of droughts with
parallel impacts on crop yield. The Horn of Africa is among the most vulnerable regions in …
parallel impacts on crop yield. The Horn of Africa is among the most vulnerable regions in …
COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation
Longitudinal brain atlases that present brain development trend along time, are essential
tools for brain development studies. However, conventional methods construct these atlases …
tools for brain development studies. However, conventional methods construct these atlases …
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT
T Wang, H Xing, Y Li, S Wang, L Liu, F Li, H Jing - BMC Medical Imaging, 2022 - Springer
Objective We aim to propose a deep learning-based method of automated segmentation of
eight brain anatomical regions in head computed tomography (CT) images obtained during …
eight brain anatomical regions in head computed tomography (CT) images obtained during …
Multi-contrast computed tomography healthy kidney atlas
The construction of three-dimensional multi-modal tissue maps provides an opportunity to
spur interdisciplinary innovations across temporal and spatial scales through information …
spur interdisciplinary innovations across temporal and spatial scales through information …