Alert button
Picture for Khashayar Namdar

Khashayar Namdar

Alert button

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

Feb 05, 2024
Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati

Viaarxiv icon

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

Figure 1 for A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Figure 2 for A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Figure 3 for A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Figure 4 for A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Viaarxiv icon

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

Figure 1 for Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Figure 2 for Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Figure 3 for Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Figure 4 for Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Viaarxiv icon

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

Figure 1 for A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images
Figure 2 for A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images
Figure 3 for A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images
Figure 4 for A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images
Viaarxiv icon

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

Figure 1 for Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI
Figure 2 for Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI
Figure 3 for Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI
Viaarxiv icon

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

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

Figure 1 for Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images
Figure 2 for Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images
Figure 3 for Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images
Figure 4 for Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images
Viaarxiv icon

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

Figure 1 for Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
Figure 2 for Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
Figure 3 for Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
Figure 4 for Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
Viaarxiv icon

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

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

Figure 1 for A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Figure 2 for A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Figure 3 for A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Figure 4 for A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Viaarxiv icon

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

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

Figure 1 for A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Figure 2 for A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Figure 3 for A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Figure 4 for A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Viaarxiv icon

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

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

Figure 1 for A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Figure 2 for A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Figure 3 for A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Figure 4 for A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Viaarxiv icon