activity
20192022
most citedA Brief Review of Deep Multi-task Learning and Auxiliary Task Learning

6 citations · 18 across the 5 of their papers we have counts for

collaborators

5 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.IV20201 cited

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

Ruqian Hao, Khashayar Namdar, Lin Liu +1

Brain tumor is one of the leading causes of cancer-related death globally among children and adults. Precise classification of brain tumor grade (low-grade and high-grade glioma) a…

cs.LG20206 cited

A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning

Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati

Multi-task learning (MTL) optimizes several learning tasks simultaneously and leverages their shared information to improve generalization and the prediction of the model for each…

q-bio.QM20204 cited

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks

Ruqian Hao, Khashayar Namdar, Lin Liu +2

Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the t…

eess.IV20194 cited

Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection

Khashayar Namdar, Isha Gujrathi, Masoom A. Haider +1

Convolutional Neural Networks (CNNs) have been used for automated detection of prostate cancer where Area Under Receiver Operating Characteristic (ROC) curve (AUC) is usually used…