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Ali Haidar

UNSW Sydney · AU
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Area of research
Environmental Engineering · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Segmentation and Artificial intelligence, with related work in Great vessels, Particle swarm optimization, Modalities. Notable publications include 'Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation', 'PSPSO: A package for parameters selection using particle swarm optimization', and 'Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach'.
h-index
citations
57
works
3
NIH funding
primary concept
email

Recent publications

Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation
Physical and Engineering Sciences in Medicine 2023cited by 31position: middledoi
Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach
Cancers 2023cited by 4position: firstdoi
PSPSO: A package for parameters selection using particle swarm optimization
SoftwareX 2021cited by 22position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Lois Holloway · The University of Sydney3 papers (2021–2023)Phillip Chlap · UNSW Sydney2 papers (2023–2023)Jonathan Sykes · Quanta Technology (United States)2 papers (2021–2023)Martin Carolan · University of Wollongong2 papers (2021–2023)Vicky Chin · UNSW Sydney2 papers (2023–2023)Matthew Field · UNSW Sydney2 papers (2021–2023)Shalini Vinod · UNSW Sydney2 papers (2023–2023)Geoff P. Delaney · UNSW Sydney2 papers (2023–2023)Farhannah Aly · University of Wollongong1 papers (2023–2023)Robert Finnegan · The University of Sydney1 papers (2023–2023)Jason Dowling · Commonwealth Scientific and Industrial Research Organisation1 papers (2023–2023) · 1 papers (2023–2023) · 1 papers (2023–2023)Xiaoshui Huang · Shanghai Jiao Tong University1 papers (2023–2023)James Otton · UNSW Sydney1 papers (2023–2023)Vikneswary Batumalai · UNSW Sydney1 papers (2023–2023)David Thwaites · The University of Sydney1 papers (2023–2023)
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