387 citations · 645 across the 37 of their papers we have counts for
7 papers · 1 filter
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Florian Dubost, Benjamin Collery, Antonin Renaudier +5
Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles. We propose…
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
Bo Li, Wiro Niessen, Stefan Klein +4
To accurately analyze changes of anatomical structures in longitudinal imaging studies, consistent segmentation across multiple time-points is required. Existing solutions often in…
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
Bo Li, Marius de Groot, Meike Vernooij +3
Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to white matter tract structural integrity and neurodegeneration. As a consequence, there i…
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz +5
Localization of focal vascular lesions on brain MRI is an important component of research on the etiology of neurological disorders. However, manual annotation of lesions can be ch…
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Florian Dubost, Marleen de Bruijne, Marco Nardin +10
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce po…
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Florian Dubost, Hieab Adams, Pinar Yilmaz +6
Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated…
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron +3
Event-based models (EBM) are a class of disease progression models that can be used to estimate temporal ordering of neuropathological changes from cross-sectional data. Current EB…