60 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Western AustraliaAU4 papers
- Harry Perkins Institute of Medical ResearchAU3 papers
- Australian National UniversityAU1 paper
- Bar-Ilan UniversityIL1 paper
- Bordeaux Population HealthFR1 paper
- Curtin UniversityAU1 paper
- Holon Institute of TechnologyIL1 paper
- National Marrow Donor ProgramUS1 paper
- Okinawa Institute of Science and Technology Graduate UniversityJP1 paper
- Rabin Medical CenterIL1 paper
- Royal Perth HospitalAU1 paper
- Stanley FoundationUS1 paper
7 papers
4D-CTA Image and geometry dataset for kinematic analysis of abdominal aortic aneurysms
Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat +10
This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms", published in the Journal of Biomechanics. The dataset is publicly available for down…
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks
Shi Zong, Josh Seltzer, Jiahua +3
Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for pro…
3D Brain and Heart Volume Generative Models: A Survey
Yanbin Liu, Girish Dwivedi, Farid Boussaid +1
Generative models such as generative adversarial networks and autoencoders have gained a great deal of attention in the medical field due to their excellent data generation capabil…
Family based HLA imputation and optimization of haplo-identical transplants
Zuriya Ansbacher-Feldman, Sapir Israeli, Martin Maiers +4
Recently, haplo-identical transplantation with multiple HLA mismatches has become a viable option for system cell transplants. Haplotype sharing detection requires imputation of do…
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images
Yanbin Liu, Girish Dwivedi, Farid Boussaid +3
The generation of three-dimensional (3D) medical images has great application potential since it takes into account the 3D anatomical structure. Two problems prevent effective trai…
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
Isaac Ronald Ward, Ling Wang, Juan lu +3
Explainable Artificial Intelligence (XAI) has been identified as a viable method for determining the importance of features when making predictions using Machine Learning (ML) mode…
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn +8
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which in…