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Khashayar Namdar

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A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection

Nov 25, 2022
Jay J. Yoo, Khashayar Namdar, Chris McIntosh, Farzad Khalvati, Patrik Rogalla

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Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation

Nov 25, 2022
Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour, Manohar Shroff, Andrea S. Doria, Farzad Khalvati

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A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images

Nov 10, 2022
Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati

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Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI

Oct 13, 2022
Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Brigit Ertl-Wagner, Farzad Khalvati

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Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images

Sep 20, 2022
Jay J. Yoo, Khashayar Namdar, Farzad Khalvati

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Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning

Aug 22, 2022
Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati

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A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

Nov 16, 2020
Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati

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

Jul 02, 2020
Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati

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A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account

Jun 08, 2020
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati

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

Jun 01, 2020
Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati

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