The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Items where Division is "Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)" and Year is 2020

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Authors/Creators | Item Type
Jump to: Article | Conference or Workshop Item | Thesis
Number of items: 6.

Article

A general framework in single and multi-modality registration for lung imaging analysis using statistical prior shapes - Zheng Cui, Sasan Mahmoodi, Matthew Guy, Emma Lewis, Tom Havelock, Michael Bennet and Joy Conway
Type: Article | 2020

Conference or Workshop Item

COPD detection using three-dimensional Gaussian Markov random fields based on binary features - Yasseen, Hamad Al Makady, Sasan Mahmoodi and Michael Bennett
Type: Conference or Workshop Item | 2020 | IEEE

Type: Conference or Workshop Item | 2020

Ridge detection and analysis of susceptibility-weighted magnetic resonance imaging in neonatal hypoxic-ischaemic encephalopathy - Zhen Tang, Sasan Mahmoodi, Srinandan Dasmahapatra, Angela Darker and Brigitte Vollmer
Type: Conference or Workshop Item | 2020 | Springer

Thesis

Type: Thesis | 2020 | University of Southampton

Type: Thesis | 2020 | University of Southampton

This list was generated on Tue Apr 16 02:06:26 2024 BST.
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×