Andrew Nicolaides
British surgeon
Facts
9 properties- Instance of
- human
- Date of birth
- 1938
- Place of birth
- Nicosia
- Occupation
- surgeon
- Employer
- Imperial College London, University of Nicosia School of Education[4]
- Educated at
- University of Oxford, King's College London[5][6]
🏷️ Also known as
en Andrew Nicolaides
🔖 Identifiers · 16
- ISNI
- 0000000084270817
- ORCID iD
- 0000-0003-3912-7394
- VIAF cluster ID
- 13629134
- Library of Congress Authorities ID
- n81039779
- GND ID
- 153614315
- BIBSYS ID
- 90174803
- DDB person (GND) ID
- 153614315
- Freebase ID
- /m/04cxnkt
- IEEE Xplore author ID
- 37282401400
- IdRef ID
- 061774936
- J9U entity ID
- 987007385808005171
- NUKAT ID
- n2012067701
Show all 16 identifiers +4
- Nationale Thesaurus voor Auteursnamen ID
- 088008835
- Wellcome Collection concept ID
- r7tgrza7
- WorldCat Entities ID
- E39PBJjMF9wqYmgfCDBXByymVC
- Yale LUX ID
- person/ee4ac035-7254-4005-8557-6ddc2c1b0b86
🔗 Connections
Author of 41
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0,
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach,
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework,
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes,
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application,
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens,
Association of Intima-Media Texture With Prevalence of Clinical Cardiovascular Disease,
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
+33 more
← Authored by 41
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0,
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach,
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework,
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes,
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application,
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens,
Association of Intima-Media Texture With Prevalence of Clinical Cardiovascular Disease,
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
+33 more
Press Enter · cited answer in seconds
0 sources
Summary
Andrew Nicolaides's place of birth was Nicosia[1]. He was born on January 1, 1938[2]. He worked as a surgeon[3].
Body
Education
Educated at University of Oxford[5], a collegiate university[10], in United Kingdom[11], founded in 1096[12], headquartered in Oxford[13] and King's College London[6], a public research university[14], in United Kingdom[15], founded in 1829[16], headquartered in London[17].
FAQs
Where was Andrew Nicolaides born?
Andrew Nicolaides's place of birth was Nicosia[1].
What did Andrew Nicolaides do for work?
Andrew Nicolaides worked as surgeon[3].
Where did Andrew Nicolaides go to school?
Andrew Nicolaides was educated at University of Oxford[5] and King's College London[6].