Faculty

Institution

Unit

Venue

Olivier Salvado

Chief Research Scientist eq Professor Honorary Professor

Case Western Reserve University

Affiliations

School of Medicine

Biomedical Engineering

Case School of Engineering

Biomedical Engineering

Olivier Salvado is currently serving as a Biomedical Engineering Chief Research Scientist eq Professor Honorary Professor at Case Western Reserve University.

Honors

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Experiences

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Education

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Olivier Salvado

Case Western Reserve University

Chief Research Scientist eq Professor Honorary Professor

You can click a keyword to filter the displayed items

medical imaging medical image computing biomedical imaging radiology neuroscience neuroimaging image analysis neurology medical image analysis alzheimer's disease computational imaging neuroscience of aging magnetic resonance imaging brain imaging biomedical engineering neuroradiology image segmentation digital image processing neurodegenerative diseases cancer imaging image representation brain mapping 3d imaging computational anatomy machine learning image registration cognitive impairment molecular neurodegeneration aging-associated diseases machine vision neuroimaging biomarkers nuclear medicine diagnostic imaging statistical shape analysis brain pathology positron emission tomography mr images computer-aided diagnosis deformation reconstruction shape modeling machine learning research experimental gerontology cardiovascular imaging computational intelligence geriatric neurology image reconstruction neurochemical biomarkers convolutional neural networks optical engineering cerebral blood flow mammalian biology bioimage analysis radiation therapy planning image guidance anatomical model oncologic imaging gi technique intensity inhomogeneity reverse diffusion magnetic resonance images partial volume estimation preclinical alzheimer memory assessment ischemic syndrome cerebrovascular disease vascular dementia alzheimer disease multimodal mri cognitive decline cortical thickness measurement partial volume maps statistical shape models cognitive reserve quadratus lumborum muscle brain cortex topology-corrected segmentation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Neural Radiance Fields for the Real World: A Survey. ACM Computing Surveys (2026)

neural computationcomputer graphicsneuroscienceillumination modelingcomputational imagingreal worldimage representationmachine visionoptical image recognitioncomputational illumination

Improving the Generation of Vaes With High Dimensional Latent Spaces by the Use of Hyperspherical Coordinates. arXiv (Cornell University) (2025)

nonlinear dimensionality reductionhyperspherical coordinatesnumerical analysisscientific computingmathematicshigher dimensional problemsspectral theoryapplied mathematicshigh-dimensional statistics

Interpretability of AI Race Detection Model in Medical Imaging With Saliency Methods. Computational and Structural Biotechnology Journal (2025)

artificial intelligencecomputer sciencemedical image computingai healthcarecomputer-aided diagnosismedical imagingmedical image analysiscomputational intelligencedata sciencesaliency methodsimage analysisai safetymachine learning

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. arXiv (Cornell University) (2024)

neural computationneural recodingvisual processingneuroscienceneural network (machine learning)cognitive sciencecomputational neuroscienceneural radiance fieldstraining paradigmvisual science

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. (2024)

Olivier SalvadoSalamata KonateRodrigo Santa CruzAndrew BdadleyJudy Wawira GichoyaLaleh Seyyed-KalantariBrandon PriceClinton FookesLéo Lebrat

medical image computingdeep learningdiagnosismedical imagingcomputer-aided diagnosisradiologyracial informationchest x-raydeep learning diagnosis

Nerf Director: Revisiting View Selection in Neural Volume Rendering. (2024)

computer scienceneural computationcomputer graphicsnon-photorealistic renderinggraphicscomputational imagingdifferentiable renderingnerf directorimage representationvolume renderingvisualization

Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Computing Surveys (2024)

medical image computingcomputer scienceconvolutional neural networkssynthetic datacomputer visiondeep learningmedical image analysiscomputational imagingimage denoisingneural network (machine learning)data scienceimage representationimage analysissynthetic image generationmachine learning

Bias Identification With Rankpix Saliency. (2023)

multi-image fusionimage quality assessmentcomputer visionbias identificationdata sciencemachine visionimage representationimage analysispattern recognitionstatistics

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. (2023)

medical image computingimage segmentationgeometric learningdeep learninggeometric modelinggeometric 3dmedical image analysisgeneralization propertiesdata scienceimage representationshape analysismedical segmentationimage analysisapplied mathematicsmachine learning

Corticalflow$^{++}$: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. arXiv (Cornell University) (2022)

medical image computingneurologyneurosciencecomputational imagingimage representationcomputational neuroscienceneuroimagingbiomedical imagingbrain mapping

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Olivier Salvado

Chief Research Scientist eq Professor Honorary Professor

Case Western Reserve University

Affiliations

School of Medicine

Biomedical Engineering

Case School of Engineering

Biomedical Engineering

Olivier Salvado is currently serving as a Biomedical Engineering Chief Research Scientist eq Professor Honorary Professor at Case Western Reserve University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Olivier Salvado

Case Western Reserve University

Chief Research Scientist eq Professor Honorary Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Neural Radiance Fields for the Real World: A Survey. ACM Computing Surveys (2026)

neural computationcomputer graphicsneuroscienceillumination modelingcomputational imagingreal worldimage representationmachine visionoptical image recognitioncomputational illumination

Improving the Generation of Vaes With High Dimensional Latent Spaces by the Use of Hyperspherical Coordinates. arXiv (Cornell University) (2025)

nonlinear dimensionality reductionhyperspherical coordinatesnumerical analysisscientific computingmathematicshigher dimensional problemsspectral theoryapplied mathematicshigh-dimensional statistics

Interpretability of AI Race Detection Model in Medical Imaging With Saliency Methods. Computational and Structural Biotechnology Journal (2025)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. arXiv (Cornell University) (2024)

neural computationneural recodingvisual processingneuroscienceneural network (machine learning)cognitive sciencecomputational neuroscienceneural radiance fieldstraining paradigmvisual science

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. (2024)

Olivier SalvadoSalamata KonateRodrigo Santa CruzAndrew BdadleyJudy Wawira GichoyaLaleh Seyyed-KalantariBrandon PriceClinton FookesLéo Lebrat

medical image computingdeep learningdiagnosismedical imagingcomputer-aided diagnosisradiologyracial informationchest x-raydeep learning diagnosis

Nerf Director: Revisiting View Selection in Neural Volume Rendering. (2024)

computer scienceneural computationcomputer graphicsnon-photorealistic renderinggraphicscomputational imagingdifferentiable renderingnerf directorimage representationvolume renderingvisualization

Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Computing Surveys (2024)

Bias Identification With Rankpix Saliency. (2023)

multi-image fusionimage quality assessmentcomputer visionbias identificationdata sciencemachine visionimage representationimage analysispattern recognitionstatistics

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. (2023)

Corticalflow$^{++}$: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. arXiv (Cornell University) (2022)

medical image computingneurologyneurosciencecomputational imagingimage representationcomputational neuroscienceneuroimagingbiomedical imagingbrain mapping

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Similar Faculty Members

William Speier

Institution

University of California, Los Angeles

neuroscience

biomedical computing

Reza Sameni

Institution

Emory University

model-based machine learning

bio-inspired computation

Yingying Zhu

Institution

University of Texas at Arlington

deep learning

data science

Ranu Jung

Institution

Florida International University

rehabilitation engineering

neural interface

Jonghwan Lee

Institution

Brown University

neuroscience

neuroimaging

Ghulam Rasool

Institution

University of South Florida

personalized medicine

deep learning

Peter Doerschuk

Institution

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biocybernetics

Yingchun Zhang

Institution

University of Miami

neuroscience

brain imaging

Mujdat Cetin

Institution

University of Rochester

medical image computing

neuroimaging

Shuo Li

Institution

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biomedical imaging

spectral learning