Thomas Moreau

ORCID: 0000-0002-1523-3419
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About
Contact & Profiles
Research Areas
  • Sparse and Compressive Sensing Techniques
  • Ocean Waves and Remote Sensing
  • Arctic and Antarctic ice dynamics
  • Geophysics and Gravity Measurements
  • Blind Source Separation Techniques
  • Oceanographic and Atmospheric Processes
  • Image and Signal Denoising Methods
  • COVID-19 Clinical Research Studies
  • Functional Brain Connectivity Studies
  • Stochastic Gradient Optimization Techniques
  • Neural Networks and Applications
  • EEG and Brain-Computer Interfaces
  • Long-Term Effects of COVID-19
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Machine Learning in Healthcare
  • Ionosphere and magnetosphere dynamics
  • Neural dynamics and brain function
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • COVID-19 and healthcare impacts
  • Cryospheric studies and observations
  • Analytical Chemistry and Sensors
  • Risk and Portfolio Optimization
  • Climate change and permafrost
  • Machine Learning and Data Classification

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2020-2024

CEA Paris-Saclay
2020-2024

École Polytechnique
2021-2024

Collecte Localisation Satellites (France)
2013-2024

Université Paris-Saclay
2019-2024

Inria Saclay - Île de France
2019-2024

Assistance Publique – Hôpitaux de Paris
2022

Inserm
2022

Université Paris Cité
2015-2022

Hôpital Corentin-Celton
2022

We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across five countries (www.covidclinical.net). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on temporal changes in key...

10.1038/s41746-020-00308-0 article EN cc-by npj Digital Medicine 2020-08-19

Objective: The use of deep learning for electroencephalography (EEG) classification tasks has been rapidly growing in the last years, yet its application limited by relatively small size EEG datasets. Data augmentation, which consists artificially increasing dataset during training, can be employed to alleviate this problem. While a few augmentation transformations data have proposed literature, their positive impact on performance is often evaluated single and compared one or two competing...

10.1088/1741-2552/aca220 article EN Journal of Neural Engineering 2022-11-11

Inspired by the synthetic aperture radar (SAR) technique, a nadir altimeter concept called "Delay/Doppler altimeter" or "SAR mode provides better precision and resolution capabilities than conventional pulse-limited altimeters (i.e., low-resolution mode). This was initially carried on board CryoSat-2 satellite, then used Sentinel-3, for user requirements ice inland water monitoring. paper addresses geophysical parameter retrieval from Delay/Doppler altimetry over ocean surfaces. For...

10.1109/tgrs.2016.2601958 article EN IEEE Transactions on Geoscience and Remote Sensing 2016-09-26

Objective. This study conduct an extensive Brain-computer interfaces (BCI) reproducibility analysis on open electroencephalography datasets, aiming to assess existing solutions and establish reproducible benchmarks for effective comparison within the field. The need such benchmark lies in rapid industrial progress that has given rise undisclosed proprietary solutions. Furthermore, scientific literature is dense, often featuring challenging-to-reproduce evaluations, making comparisons between...

10.48550/arxiv.2404.15319 preprint EN arXiv (Cornell University) 2024-04-03

10.1109/cvpr52733.2024.02386 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

<h3>Background:</h3> Cobalamin C disease is the most common inborn error of cobalamin metabolism with an autosomal recessive mode inheritance and mutations within <i>MMACHC</i> gene. Clinical features, including systemic, haematological neurological abnormalities, usually occur in first year life. Adolescent adult onset presentations are rare. <h3>Methods:</h3> We report on clinical, molecular imaging features three patients aged 40, 42 years at last follow-up. examine these cases together...

10.1136/jnnp.2007.133025 article EN Journal of Neurology Neurosurgery & Psychiatry 2007-10-10

Abstract Objective To assess the clinical effectiveness of oral hydroxychloroquine (HCQ) with or without azithromycin (AZI) in preventing death leading to hospital discharge. Design Retrospective cohort study. Setting An analysis data from electronic medical records and administrative claim French Assistance Publique - Hôpitaux de Paris (AP-HP) warehouse, 39 public hospitals, Ile-de-France, France. Participants All adult inpatients at least one PCR-documented SARS-CoV-2 RNA a nasopharyngeal...

10.1101/2020.06.16.20132597 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-06-19

During its commissioning phase, the Copernicus Sentinel-3B satellite has been placed in a tandem formation with Sentinel-3A for period of 6 months. This configuration allowed direct comparison measurements obtained by two satellites. The purpose this paper was to present range analyses that can be performed from dataset, highlighting methodology aspects and main outcomes each instrument. We examined, turn, benefit understanding instrument operational modes differences, assessing...

10.3390/rs12172668 article EN cc-by Remote Sensing 2020-08-19

Prior research suggests that psychiatric disorders could be linked to increased mortality among patients with COVID-19. However, whether all or specific are intrinsic risk factors of death in COVID-19 these associations reflect the greater prevalence medical people has yet evaluated.We performed an observational, multicenter, retrospective cohort study examine association between and hospitalized for laboratory-confirmed at 36 Greater Paris University hospitals.Of 15,168 adult patients, 857...

10.1016/j.bpsgos.2021.12.007 article EN cc-by Biological Psychiatry Global Open Science 2022-01-04

This article presents a method for step detection from accelerometer and gyrometer signals recorded with Inertial Measurement Units (IMUs). The principle of our algorithm is to recognize the start end times steps in signal thanks predefined library templates. tested on database 1020 recordings, composed healthy subjects patients various neurological or orthopedic troubles. Simulations more than 40,000 show that template-based achieves remarkable results 98% recall precision. adapts well...

10.3390/s18114033 article EN cc-by Sensors 2018-11-19

Sparse coding is typically solved by iterative optimization techniques, such as the Iterative Shrinkage-Thresholding Algorithm (ISTA). Unfolding and learning weights of ISTA using neural networks a practical way to accelerate estimation. In this paper, we study selection adapted step sizes for ISTA. We show that simple size strategy can improve convergence rate leveraging sparsity iterates. However, it impractical in most large-scale applications. Therefore, propose network architecture...

10.48550/arxiv.1905.11071 preprint EN other-oa arXiv (Cornell University) 2019-01-01

For diagnosis and follow up, it is important to be able quantify limp in an objective, precise way adapted daily clinical consultation. The purpose of this exploratory study was determine if inertial sensor-based method could provide simple features that correlate with the severity lower limb osteoarthritis evaluated by WOMAC index without use step detection signal processing. Forty-eight patients formed two groups separated median (G1, G2). Twelve asymptomatic age-matched control subjects...

10.1371/journal.pone.0164975 article EN cc-by PLoS ONE 2016-10-24

ABSTRACT We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across 5 countries ( www.covidclinical.net ). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on comorbidities...

10.1101/2020.04.13.20059691 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-04-18

Abstract Context Diabetes is reported as a risk factor for severe coronavirus disease 2019 (COVID-19), but whether this similar in all categories of age remains unclear. Objective To investigate the COVID-19 outcomes hospitalized patients with and without diabetes according to categories. Design Setting Participants We conducted retrospective observational cohort study 6314 consecutive between February 30 June 2020 Paris metropolitan area, France; follow-up was recorded until September 2020....

10.1210/clinem/dgab393 article EN cc-by The Journal of Clinical Endocrinology & Metabolism 2021-06-01

Satellite altimetry has been providing a continuous record of ocean measurements with numerous applications across the entire range sciences. A reference orbit used since 1992 TOPEX/Poseidon, which was repeated in Jason missions, and newly launched Sentinel-6 Michael Freilich (in November 2020) to continually monitor trends sea level rise other properties surface. These multidecadal missions have evolved alongside major technological advances, whose are unified into single data owing...

10.3390/rs15020392 article EN cc-by Remote Sensing 2023-01-08

This study presents the first azimuth cutoff analysis in Synthetic Aperture Radar (SAR) altimetry, aiming to assess its applicability characterizing sea-state dynamics. In SAR imaging, serves as a proxy for shortest waves, terms of wavelength, that can be detected by satellite under certain wind and wave conditions. The magnitude this parameter is closely related orbital velocity variance, key wind-wave systems. We exploit modulations exhibited tail fully-focused waveforms extract from radar...

10.3390/rs16071292 article EN cc-by Remote Sensing 2024-04-06

Abstract The interaction of a gravitational wave (GW) with an elastic body is usually described in terms GW “force” driving the oscillations body's normal modes. However, this description only possible for frequencies which response dominated by few At higher modes blend into quasi-continuum and field-theoretical description, as pioneered Dyson already 1969, becomes necessary. since metric perturbation h μν intrinsically relativistic object, consistent coupling to GWs can be obtained within...

10.1088/1475-7516/2024/07/028 article EN cc-by Journal of Cosmology and Astroparticle Physics 2024-07-01
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