W
Walter Romano
Researcher at University of Western Ontario
Publications - 21
Citations - 1172
Walter Romano is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Uterine artery & Occlusion. The author has an hindex of 11, co-authored 21 publications receiving 1111 citations.
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Journal ArticleDOI
Incremental Support Vector Learning for Ordinal Regression
TL;DR: Numerical experiments on the several benchmark and real-world data sets show that the incremental algorithm can converge to the optimal solution in a finite number of steps, and is faster than the existing batch and incremental SVOR algorithms.
Journal ArticleDOI
Evaluation of MRI-TRUS fusion versus cognitive registration accuracy for MRI-targeted, TRUS-guided prostate biopsy.
TL;DR: In this paper, the authors compared transrectal ultrasound (TRUS) biopsy accuracies of operators with different levels of prostate MRI experience using cognitive registration versus MRI-TRUS fusion to assess the preferred method of TRUS prostate biopsy for MRI-identified lesions.
Book ChapterDOI
Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation
TL;DR: This study investigates novel object-interaction priors for graph cut image segmentation with application to intervertebral disc delineation in magnetic resonance (MR) lumbar spine images and demonstrates experimentally the invariance of the proposed geometric attributes.
Journal ArticleDOI
Non-invasive assessment of functionally relevant coronary artery stenoses with quantitative CT perfusion: preliminary clinical experiences
Aaron So,Aaron So,Aaron So,Gerald Wisenberg,Gerald Wisenberg,Gerald Wisenberg,Ali Islam,Justin Amann,Walter Romano,James E. Brown,Dennis Humen,George Jablonsky,Jianying Li,Jiang Hsieh,Ting-Yim Lee,Ting-Yim Lee,Ting-Yim Lee +16 more
TL;DR: DCE-CT imaging with quantitative CT perfusion analysis could be useful for detecting coronary stenoses that are functionally significant and demonstrates the important relationship between myocardial reserve and coronary stenosis.
Journal ArticleDOI
Regression Segmentation for $M^{3}$ Spinal Images
TL;DR: A novel approach is proposed, Regression Segmentation, that is for the first time able to segment M3 spinal images in one single unified framework and is fulfilled by a multi-dimensional support vector regressor (MSVR) which operates in an implicit, high dimensional feature space where M3 diversity and specificity can be systematically categorized, extracted, and handled.