activity
20152022
most citedIntroducing Vision Transformer for Alzheimer's Disease classification task with 3D input

8 citations · 45 across the 14 of their papers we have counts for

collaborators

21 papers

eess.IV20223 cited

Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation

Chaojun Chen, Khashayar Namdar, Yujie Wu +4

Scoliosis is a three-dimensional deformity of the spine, most often diagnosed in childhood. It affects 2-3% of the population, which is approximately seven million people in North…

eess.IV2022

Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models

Sajith Rajapaksa, Farzad Khalvati

Deep learning techniques have greatly benefited computer-aided diagnostic systems. However, unlike other fields, in medical imaging, acquiring large fine-grained annotated datasets…

eess.IV20228 cited

Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input

Zilun Zhang, Farzad Khalvati

Many high-performance classification models utilize complex CNN-based architectures for Alzheimer's Disease classification. We aim to investigate two relevant questions regarding c…

cs.CL2022

Exploring COVID-19 Related Stressors Using Topic Modeling

Yue Tong Leung, Farzad Khalvati

The COVID-19 pandemic has affected lives of people from different countries for almost two years. The changes on lifestyles due to the pandemic may cause psychosocial stressors for…

cs.CV2021

Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification

Saman Motamed, Farzad Khalvati

Generative Adversarial Networks can learn the mapping of random noise to realistic images in a semi-supervised framework. This mapping ability can be used for semi-supervised image…

cs.CV20215 cited

Multi-class Generative Adversarial Nets for Semi-supervised Image Classification

Saman Motamed, Farzad Khalvati

From generating never-before-seen images to domain adaptation, applications of Generative Adversarial Networks (GANs) spread wide in the domain of vision and graphics problems. Wit…