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Article
Open AccessThe influence of biophysical parameters in a biomechanical model of cortical folding patterns
Abnormal cortical folding patterns, such as lissencephaly, pachygyria and polymicrogyria malformations, may be related to neurodevelopmental disorders. In this context, computational modeling is a powerful too...
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Article
Open AccessInvestigating the causal role of MRE11A p.E506* in breast and ovarian cancer
The nuclease MRE11A is often included in genetic test panels for hereditary breast and ovarian cancer (HBOC) due to its BRCA1-related molecular function in the DNA repair pathway. However, whether MRE11A is a tru...
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Article
Open AccessDynamic MRI for articulating joint evaluation on 1.5 T and 3.0 T scanners: setup, protocols, and real-time sequences
Dynamic magnetic resonance imaging (MRI) is a non-invasive method that can be used to increase the understanding of the pathomechanics of joints. Various types of real-time gradient echo sequences used for dyn...
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Article
Residual Networks as Flows of Diffeomorphisms
This paper addresses the understanding and characterization of residual networks (ResNet), which are among the state-of-the-art deep learning architectures for a variety of supervised learning problems. We foc...
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Chapter and Conference Paper
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing
Accurate segmentation of cerebral structures remains, after two decades of research, a complex task. In particular, obtaining satisfactory results in terms of topology, in addition to quantitative and geometri...
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Chapter and Conference Paper
Online Atlasing Using an Iterative Centroid
Online atlasing, i.e. incrementing an atlas with new images as they are acquired, is key when performing studies on databases very large or still being gathered. We propose to this end a new diffeomorphic onli...
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Chapter and Conference Paper
Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study
Morphometric analysis of brain structures is of high interest for premature neonates, in particular for defining predictive neurodevelopment biomarkers. This requires beforehand, the correct segmentation of st...
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Article
Open AccessPregnant women’s views on how to promote the use of a decision aid for Down syndrome prenatal screening: a theory-informed qualitative study
For pregnant women and their partners, the decision to undergo Down syndrome prenatal screening is difficult. Patient decision aids (PtDA) can help them make an informed decision. We aimed to identify behaviou...
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Article
Community-preserving anonymization of graphs
In this paper, we propose a novel edge modification technique that better preserves the communities of a graph while anonymizing it. By maintaining the core number sequence of a graph, its coreness, we retain mos...
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Article
Open AccessUse of a patient decision aid for prenatal screening for Down syndrome: what do pregnant women say?
Patient decision aids (PtDAs) help people make difficult, values-sensitive decisions. Prenatal screening for assessing the risk of genetic conditions in the fetus is one such decision and patient decision aids...
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Article
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans
Toward an efficient clinical management of hepatocellular carcinoma (HCC), we propose a classification framework dedicated to tumor necrosis rate estimation from dynamic contrast-enhanced CT scans. Based on ma...
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Article
Open AccessWhat factors influence health professionals to use decision aids for Down syndrome prenatal screening?
Health professionals are expected to engage pregnant women in shared decision making to help them make informed values-based decisions about prenatal screening. Patient decision aids (PtDAs) foster shared deci...
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Article
On the growth and form of cortical convolutions
A 3D-printed fetal brain undergoes constrained expansion to reproduce the shape of the human cerebral cortex. The soft gels of the model swell in solvent, mimicking cortical growth and revealing the mechanical...
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Article
Correction: Corrigendum: Germline RECQL mutations are associated with breast cancer susceptibility
Nat. Genet. 47, 643–646 (2015); published online 27 April 2015; corrected after print 12 January 2016 In the version of this article initially published, one of the variants was incorrectly reported as c.634C>...
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Article
Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture
Human population genomic studies, including whole‐genome sequencing, were undertaken to identify determinants of bone mineral density (BMD), a major predictor of osteoporotic fractures. Non‐coding variants wit...
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Article
Open AccessDecision aids that support decisions about prenatal testing for Down syndrome: an environmental scan
Prenatal screening tests for Down syndrome (DS) are routine in many developed countries and new tests are rapidly becoming available. Decisions about prenatal screening are increasingly complex with each succe...
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Article
Germline RECQL mutations are associated with breast cancer susceptibility
Mohammad Akbari and colleagues report that rare truncating mutations in RECQL are associated with breast cancer susceptibility. RECQL encodes a helicase that helps prevent double-stranded DNA breaks by stabilizin...
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Article
Open AccessExploiting light chains for the scalable generation and platform purification of native human bispecific IgG
Bispecific antibodies enable unique therapeutic approaches but it remains a challenge to produce them at the industrial scale, and the modifications introduced to achieve bispecificity often have an impact on ...
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Chapter and Conference Paper
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
Pre-operative locoregional treatments (PLT) delay the tumor progression by necrosis for patients with hepato-cellular carcinoma (HCC). Toward an efficient evaluation of PLT response, we address the estimation ...
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Chapter and Conference Paper
Main Core Retention on Graph-of-Words for Single-Document Keyword Extraction
In this paper, we apply the concept of k-core on the graph-of-words representation of text for single-document keyword extraction, retaining only the nodes from the main core as representative terms. This approac...
