Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Autor: Giulia Bertò, Daniel Bullock, Pietro Astolfi, Soichi Hayashi, Luca Zigiotto, Luciano Annicchiarico, Francesco Corsini, Alessandro De Benedictis, Silvio Sarubbo, Franco Pestilli, Paolo Avesani, Emanuele Olivetti

Publikováno v: NeuroImage, Vol 224, Iss , Pp 117402- (2021)

Virtual delineation of white matter bundles in the human brain is of paramount importance for multiple applications, such as pre-surgical planning and connectomics. A substantial body of literature is related to methods that automatically segment bun

Externí odkaz: https://doaj.org/article/8889caff0b464aa4aed1c5c495033f1b

Scalable Quality Assurance for Neuroimaging (SQAN): automated quality control for medical imaging

Autor: Soichi Hayashi, Raymond W. Perigo, Michael D. Young, Meenakshisundaram Paramasivam, John D. West, Arvind Gopu, Robert Henschel, Andrea Avena Koenigsberger

Publikováno v: Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications.

Medical imaging, a key component in clinical diagnosis of and research on numerous medical conditions, is very costly and can generate massive datasets. For instance, a single scanned subject produces hundreds of thousands of images and millions of k

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1fbb210ba20d0dc9827bf3cad1f0bc6f
https://doi.org/10.1117/12.2549722

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Autor: Yiming Qian, Andrew J. Saykin, Soichi Hayashi, Bradley Caron, Cesar F. Caiafa, Andrew Patterson, Franco Pestilli, Brent McPherson, Olaf Sporns, Eleftherios Garyfallidis, Robert Henschel, Lei Wang, Emanuele Olivetti, David Y. Hancock, Lindsey Kitchell, Ivo D. Dinov, Daniel Bullock, Paolo Avesani

Publikováno v: BASE-Bielefeld Academic Search Engine
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Scientific Data, Vol 6, Iss 1, Pp 1-13 (2019)
Scientific Data

We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-object-identifier. The data derivatives were generated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fadfe6a669d5148fc210950c1fee27b1
https://doi.org/10.31234/osf.io/y82n7

An Archive of Spectra from the Mayall Fourier Transform Spectrometer at Kitt Peak

Autor: Michael D. Young, H. B. Dennis, Kenneth H. Hinkle, Arvind Gopu, Robert Henschel, Soichi Hayashi, Catherine A. Pilachowski

We describe the SpArc science gateway for spectral data obtained during the period from 1975 through 1995 at the Kitt Peak National Observatory using the Fourier Transform Spectrometer (FTS) in operation at the Mayall 4-m telescope. SpArc is hosted b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f6d1ddcd53f8776a72714ba719cf45
http://arxiv.org/abs/1610.02535

RabbitQR: fast and flexible big data processing at LSST data rates using existing, shared-use hardware

Autor: Soichi Hayashi, Arvind Gopu, Ralf Kotulla

Publikováno v: SPIE Proceedings.

Processing astronomical data to science readiness was and remains a challenge, in particular in the case of multi detector instruments such as wide-field imagers. One such instrument, the WIYN One Degree Imager, is available to the astronomical commu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::660783ab1ddf38881627db18c2c5c93b
https://doi.org/10.1117/12.2233527