Zobrazeno 1 - 10
of 4 129
pro vyhledávání: '"Wilson, Paul A."'
Autor:
Gilany, Mahdi, Harmanani, Mohamed, Wilson, Paul, To, Minh Nguyen Nhat, Jamzad, Amoon, Fooladgar, Fahimeh, Wodlinger, Brian, Abolmaesumi, Purang, Mousavi, Parvin
High resolution micro-ultrasound has demonstrated promise in real-time prostate cancer detection, with deep learning becoming a prominent tool for learning complex tissue properties reflected on ultrasound. However, a significant roadblock to real-wo
Externí odkaz:
http://arxiv.org/abs/2407.12697
We propose a categorical semantics for machine learning algorithms in terms of lenses, parametric maps, and reverse derivative categories. This foundation provides a powerful explanatory and unifying framework: it encompasses a variety of gradient de
Externí odkaz:
http://arxiv.org/abs/2404.00408
Autor:
Harmanani, Mohamed, Wilson, Paul F. R., Fooladgar, Fahimeh, Jamzad, Amoon, Gilany, Mahdi, To, Minh Nguyen Nhat, Wodlinger, Brian, Abolmaesumi, Purang, Mousavi, Parvin
Publikováno v:
Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 1292815 (29 March 2024)
PURPOSE: Deep learning methods for classifying prostate cancer (PCa) in ultrasound images typically employ convolutional networks (CNNs) to detect cancer in small regions of interest (ROI) along a needle trace region. However, this approach suffers f
Externí odkaz:
http://arxiv.org/abs/2403.18233
Autor:
Wilson, Paul, Zanasi, Fabio
We give parallel algorithms for string diagrams represented as structured cospans of ACSets. Specifically, we give linear (sequential) and logarithmic (parallel) time algorithms for composition, tensor product, construction of diagrams from arbitrary
Externí odkaz:
http://arxiv.org/abs/2305.01041
Autor:
Gilany, Mahdi, Wilson, Paul, Perera-Ortega, Andrea, Jamzad, Amoon, To, Minh Nguyen Nhat, Fooladgar, Fahimeh, Wodlinger, Brian, Abolmaesumi, Purang, Mousavi, Parvin
A large body of previous machine learning methods for ultrasound-based prostate cancer detection classify small regions of interest (ROIs) of ultrasound signals that lie within a larger needle trace corresponding to a prostate tissue biopsy (called b
Externí odkaz:
http://arxiv.org/abs/2303.02128
Autor:
Thelwall, Mike, Kousha, Kayvan, Abdoli, Mahshid, Stuart, Emma, Makita, Meiko, Wilson, Paul, Levitt, Jonathan
Systematic evaluations of publicly funded research typically employ a combination of bibliometrics and peer review, but it is not known whether the bibliometric component introduces biases. This article compares three alternative mechanisms for scori
Externí odkaz:
http://arxiv.org/abs/2212.07812
Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021
Autor:
Thelwall, Mike, Kousha, Kayvan, Abdoli, Mahshid, Stuart, Emma, Makita, Meiko, Wilson, Paul, Levitt, Jonathan
Publikováno v:
Journal of the Association for Information Science and Technology, 74(5), 582-593 (2023)
Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com an
Externí odkaz:
http://arxiv.org/abs/2212.07811
Autor:
Thelwall, Mike, Kousha, Kayvan, Abdoli, Mahshid, Stuart, Emma, Makita, Meiko, Wilson, Paul, Levitt, Jonathan
Publikováno v:
Journal of Data and Information Science, 8(1), 9-20 (2023)
Collaborative research causes problems for research assessments because of the difficulty in fairly crediting its authors. Whilst splitting the rewards for an article amongst its authors has the greatest surface-level fairness, many important evaluat
Externí odkaz:
http://arxiv.org/abs/2212.06572
Autor:
Thelwall, Mike, Kousha, Kayvan, Abdoli, Mahshid, Stuart, Emma, Makita, Meiko, Wilson, Paul, Levitt, Jonathan
Publikováno v:
Journal of the Association for Information Science and Technology, 74, 791-810 (2023)
Co-authored articles tend to be more cited in many academic fields, but is this because they tend to be higher quality or is it an audience effect: increased awareness through multiple author networks? We address this unknown with the largest investi
Externí odkaz:
http://arxiv.org/abs/2212.06571
Autor:
Thelwall, Mike, Kousha, Kayvan, Abdoli, Mahshid, Stuart, Emma, Makita, Meiko, Wilson, Paul, Levitt, Jonathan
The Journal Impact Factor and other indicators that assess the average citation rate of articles in a journal are consulted by many academics and research evaluators, despite initiatives against overreliance on them. Despite this, there is limited ev
Externí odkaz:
http://arxiv.org/abs/2212.05419