A
Alberto Biancardi
Researcher at University of Sheffield
Publications - 75
Citations - 2692
Alberto Biancardi is an academic researcher from University of Sheffield. The author has contributed to research in topics: Medicine & Image processing. The author has an hindex of 16, co-authored 65 publications receiving 1942 citations. Previous affiliations of Alberto Biancardi include University of Pavia & Cornell University.
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Journal ArticleDOI
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G. Armato,Geoffrey McLennan,Luc Bidaut,Michael F. McNitt-Gray,Charles R. Meyer,Anthony P. Reeves,Binsheng Zhao,Denise R. Aberle,Claudia I. Henschke,Eric A. Hoffman,Ella A. Kazerooni,Heber MacMahon,Edwin J. R. van Beek,David F. Yankelevitz,Alberto Biancardi,Peyton H. Bland,Matthew S. Brown,Roger Engelmann,Gary E. Laderach,Daniel Max,Richard C. Pais,David Qing,Rachael Y. Roberts,Amanda R. Smith,Adam Starkey,Poonam Batra,Philip Caligiuri,Ali Farooqi,Gregory W. Gladish,C. Matilda Jude,Reginald F. Munden,Iva Petkovska,Leslie E. Quint,Lawrence H. Schwartz,Baskaran Sundaram,Lori E. Dodd,Charles Fenimore,David Gur,Nicholas Petrick,John Freymann,Justin Kirby,Brian Hughes,Alessi Vande Casteele,Sangeeta Gupte,Maha Sallam,Michael D. Heath,Michael Kuhn,Ekta Dharaiya,Richard Burns,David Fryd,Marcos Salganicoff,Vikram Anand,Uri Shreter,Stephen Vastagh,Barbara Y. Croft,Laurence P. Clarke +55 more
TL;DR: The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus and is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.
Journal ArticleDOI
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
Anthony P. Reeves,Alberto Biancardi,Tatiyana V. Apanasovich,Charles R. Meyer,Heber MacMahon,Edwin J. R. van Beek,Ella A. Kazerooni,David F. Yankelevitz,Michael F. McNitt-Gray,Geoffrey McLennan,Samuel G. Armato,Claudia I. Henschke,Denise R. Aberle,Barbara Y. Croft,Laurence P. Clarke +14 more
TL;DR: The selection of data subsets for performance evaluation is highly impacted by the size metric choice, which is intended to facilitate the selection of unique repeatable size limited nodule subsets.
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Automated aorta segmentation in low-dose chest CT images
TL;DR: Both qualitative and quantitative evaluations have shown that the presented algorithm is able to accurately segment the aorta in low-dose non-contrast CT images.
Journal ArticleDOI
Spatial fuzzy c-means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and 1 H MRI.
TL;DR: An image‐processing pipeline for semiautomated (SA) and reproducible analysis of hyperpolarized gas lung ventilation and proton anatomical magnetic resonance imaging (MRI) scan pairs is developed and results from the software for total lung volume (TLV), ventilated volume (VV), and percentage lung ventilatedVolume (%VV) calculation are compared.
Journal ArticleDOI
Patterns of regional lung physiology in cystic fibrosis using ventilation magnetic resonance imaging and multiple-breath washout.
Laurie Smith,Laurie Smith,Guilhem Collier,Helen Marshall,Paul Hughes,Alberto Biancardi,Martin J Wildman,Ina Aldag,Noreen West,Alex Horsley,Alex Horsley,Jim M. Wild +11 more
TL;DR: Venting distribution on MRI improves at TLC and two distinct patterns of regional lung disease in CF are highlighted, where abnormal FEV1 is associated with VDP >10%.