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20162024
most citedSemi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

187 citations · 451 across the 28 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

eess.IV2019

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…

cs.CV2019★ 187 cited

Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2

The scarcity of labeled data often limits the application of supervised deep learning techniques for medical image segmentation. This has motivated the development of semi-supervis…

eess.SP2019

APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network

Chaoping Zhang, Florian Dubost, Marleen de Bruijne +2

Deep learning has been successfully demonstrated in MRI reconstruction of accelerated acquisitions. However, its dependence on representative training data limits the application a…

eess.IV2019

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…

eess.IV2019

Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Bernhard Egger, Markus D. Schirmer, Florian Dubost +3

We propose and demonstrate a joint model of anatomical shapes, image features and clinical indicators for statistical shape modeling and medical image analysis. The key idea is to…

eess.IV2019

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…