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Oscar Esteban

Research and Teaching SNSF Fellow (Bioinformatics and computational biology not elsewhere classified)

Lausanne, Switzerland

Publications

  • Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis
  • QuantiDOPA: A quantification software for dopaminergic neurotransmission SPECT DOI: 10.1007/978-3-319-00846-2_110
  • MBIS: Multivariate Bayesian Image Segmentation tool DOI: 10.1016/j.cmpb.2014.03.003
  • Including anatomical and functional information in MC simulation of PET and SPECT brain studies. Brain-VISET: A voxel-based iterative method DOI: 10.1109/TMI.2014.2326041
  • FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using monte carlo simulation DOI: 10.1007/s12021-012-9158-x
  • Classical Segmentation Methods on Novel MR Imaging: A Study of Brain Tissue Segmentation of MP2RAGE Vs MPRAGE
  • Atlas-free Brain Tissue Segmentation Using a Single T1-weighted MRI Acquisition
  • The OpenNeuro resource for sharing of neuroscience data
  • FocusDET: A software tool to locate epileptogenic foci in intractable partial epilepsy
  • RegSeg: Structure-informed segmentation and registration of brain MR images
  • OpenNeuro: An open resource for sharing of neuroimaging data
  • Age-specific adult rat brain MRI templates and tissue probability maps
  • BIDS Apps: Improving ease of use, accessibility and reproducibility of neuroimaging data analysis methods
  • Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1
  • fMRIPrep: a robust preprocessing pipeline for functional MRI
  • Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge
  • Pydra - a flexible and lightweight dataflow engine for scientific analyses
  • Searching for Imaging Biomarkers of Psychotic Dysconnectivity
  • The challenge of mapping the human connectome based on diffusion tractography
  • Diffantom: whole-brain diffusion MRI phantoms derived from real datasets of the Human Connectome Project
  • Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines
  • Quality control and nuisance regression of fMRI, looking out where signal should not be found
  • Defacing biases manual and automated quality assessments of structural MRI with MRIQC
  • Atlas-based brain extraction is robust across rat MRI studies
  • An open-source implementation of estimation and correction of head-motion and eddy-current distortions generalizable across diffusion MRI signal models
  • A data resource from concurrent intracranial stimulation and functional MRI of the human brain
  • Including anatomical and functional information in MC simulation of PET and SPECT brain studies. Brain-VISET: A voxel-based iterative method
  • QuantiDOPA: A quantification software for dopaminergic neurotransmission SPECT
  • MBIS: Multivariate Bayesian Image Segmentation tool
  • FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using monte carlo simulation
  • Surface-driven registration method for the structure-informed segmentation of diffusion MR images
  • MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
  • MRIQC Web-API: Crowdsourcing image quality metrics and expert quality ratings of structural and functional MRI
  • Software tool to read, represent, manipulate, and apply n-dimensional spatial transforms
  • NiPreps: enabling the division of labor in neuroimaging beyond fMRIPrep
  • Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
  • Analysis of task-based functional MRI data preprocessed with fMRIPrep
  • The Bermuda Triangle of d- and f-MRI sailors - software for susceptibility distortions (SDCFlows)
  • High-sensitivity detection of facial features on MRI brain scans with a convolutional network
  • NiTransforms: A Python tool to read, represent, manipulate, and apply dimensional spatial transforms
  • Open and reproducible neuroimaging: from study inception to publication

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