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ORCIDKhashayar Namdar
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2020 – today
- 2024
[i15]Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati:
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR abs/2402.03547 (2024)- [i14]Arash Rasti-Meymandi, Zahra Hosseini, Sina Davari, Abolfazl Moshiri, Shabnam Rahimi-Golkhandan, Khashayar Namdar, Nikta Feizi, Mohamad Tavakoli-Targhi, Farzad Khalvati:
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad. CoRR abs/2405.06760 (2024) - 2023
- [c2]Sara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati:
Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 107-116 - [c1]Sajith Rajapaksa, Khashayar Namdar, Farzad Khalvati:
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. MILLanD@MICCAI 2023: 171-180 - 2022
- [i13]Akino Watanabe, Sara Ketabi, Khashayar Namdar, Farzad Khalvati:
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators. CoRR abs/2207.00157 (2022) - [i12]Pranav Agnihotri, Sara Ketabi, Khashayar Namdar, Farzad Khalvati:
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology. CoRR abs/2207.14781 (2022) - [i11]Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati:
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning. CoRR abs/2208.10390 (2022) - [i10]Jay J. Yoo, Khashayar Namdar, Farzad Khalvati:
Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images. CoRR abs/2209.09930 (2022) - [i9]Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR abs/2210.07287 (2022) - [i8]Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati:
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR abs/2211.05269 (2022) - [i7]Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour, Manohar Shroff, Andrea S. Doria, Farzad Khalvati:
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation. CoRR abs/2211.14122 (2022) - [i6]Jay J. Yoo, Khashayar Namdar, Chris McIntosh
, Farzad Khalvati, Patrik Rogalla:
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. CoRR abs/2211.14396 (2022) - 2021
- [j3]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. 4: 582928 (2021) - [j2]Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification. Frontiers Artif. Intell. 4: 635766 (2021) - [j1]Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. J. Digit. Imaging 34(4): 862-876 (2021) - 2020
- [i5]Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks. CoRR abs/2006.01693 (2020) - [i4]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR abs/2006.04836 (2020) - [i3]Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati:
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning. CoRR abs/2007.01126 (2020) - [i2]Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. CoRR abs/2011.09265 (2020)
2010 – 2019
- 2019
- [i1]Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR abs/1911.01477 (2019)
Coauthor Index
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