77 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Camille Maumet2 profiles5 · h 17
- Élisa Fromont3 profiles5 · h 21
- Elodie Germani5 · h 3
- E. Bannier2 profiles4 · h 24
- Stéphanie Leplaideur2 profiles4 · h 2
- Youwan Mahé2 profiles4 · h 2
- B. Combès3 · h 14
- E. Caruyer3 · h 20
- Francesca Galassi3 · h 3
- Pierre Maurel2 profiles3 · h 3
- A. Kerbrat2 · h 20
- C. Barillot2 · h 48
- Institut de Recherche en Informatique et Systèmes AléatoiresFR10 papers
- Université de RennesFR9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- InsermFR7 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Centre Hospitalier Universitaire de RennesFR4 papers
- King's College LondonGB4 papers
- McGill UniversityCA3 papers
- Polytechnique MontréalCA3 papers
- University of OxfordGB3 papers
- Boston Children's HospitalUS2 papers
- CEA Paris-SaclayFR2 papers
21 papers
StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows
Youwan Mahé, Axel Plessis, Stéphanie Leplaideur +3
Deep learning frameworks like nnU-Net achieve state-of-theart brain lesion segmentation performance but remain difficult to deploy in clinical research environments due to, among o…
Stroke Lesion Segmentation in Clinical Workflows: A Modular, Lightweight, and Deployment-Ready Tool
Yann Kerverdo, Florent Leray, Youwan Mahé +2
Deep learning frameworks such as nnU-Net achieve state-of-the-art performance in brain lesion segmentation but remain difficult to deploy clinically due to heavy dependencies and m…
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Youwan Mahé, Elise Bannier, Stéphanie Leplaideur +2
Unsupervised anomaly detection (UAD) based on deep generative modelling has been increasingly explored for identifying pathological brain abnormalities without requiring voxel-leve…
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…
Mitigating analytical variability in fMRI results with style transfer
Elodie Germani, Camille Maumet, Elisa Fromont
We propose a novel approach to improve the reproducibility of neuroimaging results by converting statistic maps across different functional MRI pipelines. We make the assumption th…
Structural Brain Connectivity and Treatment Improvement in Mood Disorder
Sébastien Dam, Jean-Marie Batail, Gabriel H Robert +3
Background: The treatment of depressive episodes is well established, with clearly demonstrated effectiveness of antidepressants and psychotherapies. However, more than one-third o…
On the validity of fMRI studies with subject-level data processed through different pipelines
Elodie Germani, Xavier Rolland, Pierre Maurel +1
In recent years, the lack of reproducibility of research findings has become an important source of concerns in many scientific fields, including functional Magnetic Resonance Imag…
The HCP multi-pipeline dataset: an opportunity to investigate analytical variability in fMRI data analysis
Elodie Germani, Elisa Fromont, Pierre Maurel +1
Results of functional Magnetic Resonance Imaging (fMRI) studies can be impacted by many sources of variability including differences due to: the sampling of the participants, diffe…
Uncovering communities of pipelines in the task-fMRI analytical space
Elodie Germani, Elisa Fromont, Camille Maumet
Analytical workflows in functional magnetic resonance imaging are highly flexible with limited best practices as to how to choose a pipeline. While it has been shown that the use o…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation
Agustina Fragueiro, Giorgia Committeri, Claire Cury
The incomplete hippocampal inversion (IHI) is an atypical anatomical pattern of the hippocampus. However, the hippocampus is not a homogeneous structure, as it consists of segregat…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
On the benefits of self-taught learning for brain decoding
Elodie Germani, Elisa Fromont, Camille Maumet
Context. We study the benefits of using a large public neuroimaging database composed of fMRI statistic maps, in a self-taught learning framework, for improving brain decoding on n…
Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis
Haykel Snoussi, Emmanuel Caruyer, Benoit Combes +5
In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiolo…
Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord
Haykel Snoussi, Julien Cohen-Adad, Benoit Combes +5
Multiple sclerosis is an inflammatory disorder of the central nervous system. Quantitative MRI has huge potential to provide intrinsic and normative values of tissue properties use…
Multidomain spectral method for the Gauss hypergeometric function
S. Crespo, M. Fasondini, C. Klein +2
We present a multidomain spectral approach for Fuchsian ordinary differential equations in the particular case of the hypergeometric equation. Our hybrid approach uses Frobenius' m…
A particle filter to reconstruct a free-surface flow from a depth camera
Benoit Combès, Dominique Heitz, Anthony Guibert +1
We investigate the combined use of a Kinect depth sensor and of a stochastic data assimilation method to recover free-surface flows. More specifically, we use a Weighted ensemble K…
Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization
Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos +11
Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assum…
Optimal Efficiency of a Noisy Quantum Heat Engine
Dionisis Stefanatos
In this article we use optimal control to maximize the efficiency of a quantum heat engine executing the Otto cycle in the presence of external noise. We optimize the engine perfor…
Optimal Shortcuts to Adiabaticity for a Quantum Piston
Dionisis Stefanatos
In this paper we use optimal control to design minimum-time adiabatic-like paths for the expansion of a quantum piston. Under realistic experimental constraints, we calculate the m…
A broadband FFT spectrometer for radio and millimeter astronomy
Arnold O. Benz, Paolo C. Grigis, V. Hungerbuhler +4
The core architecture, tests in the lab and first results of a Fast Fourier Transform (FFT) spectrometer are described. It is based on a commercially available fast digital sampler…