Khashayar Namdar

31 papers Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-Driven MRI-based Brain Tumour Segmentation Benchmarking. CoRR Connor Ludwig, Khashayar Namdar, Farzad Khalvati
2025	J	`jnl`	Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning. CoRR Khashayar Namdar, Pin-Chien Wang, Tushar Raju, Steven Zheng, Fiona Li, Safwat Tahmin Khan
2025	—	`conf`	Enabling Uncertainty Measurement in Multi-subregion Tumor Segmentation: BraTS 2025 Pediatrics. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Khashayar Namdar, Saeidehsadat Mirjalili, Sangwook Kim, Dominik Deniffel, Keith Brunt, Leo Anthony Celi, Michael D. Cusimano, Pascal N. Tyrrell
2025	J	`jnl`	Non-invasive liver fibrosis screening on CT images using radiomics. BMC Medical Imaging Jay J. Yoo, Khashayar Namdar, Sean Carey, Sandra E. Fischer, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
2025	J	`jnl`	Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines. BMC Medical Imaging Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2025	J	`jnl`	Red Teaming Large Language Models for Healthcare. CoRR Vahid Balazadeh Meresht, Michael Cooper, David Pellow, Atousa Assadi, Jennifer Bell, Jim Fackler, Gabriel Funingana, Spencer Gable-Cook, Anirudh Gangadhar, Abhishek Jaiswal, Sumanth Kaja, Christopher Khoury, Randy Lin, Kaden McKeen, Sara Naimimohasses, Khashayar Namdar, Aviraj Newatia, Allan Pang, Anshul Pattoo, Sameer Peesapati, Diana Prepelita, Bogdana Rakova, Saba Sadatamin, Rafael Schulman, Ajay Shah, Syed Azhar Shah, Syed Ahmar Shah, Babak Taati, Balagopal Unnikrishnan, Stephanie Williams, Rahul G. Krishnan
2024	—	`conf`	Advanced Receiver Operating Characteristic Curve Analysis to Identify Outliers in Binary Machine Learning Classifications for Precision Medicine. BHI Khashayar Namdar, Farzad Khalvati
2024	—	`conf`	Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model. EMBC Chaojun Chen, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	—	`conf`	Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation. EMBC Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour, Manohar Shroff, Andrea Doria, Farzad Khalvati
2024	J	`jnl`	Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images. BMC Medical Imaging Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
2024	—	`conf`	Improving Interpretability of Radiology Report-based Pediatric Brain Tumor Pathology Classification and Key-phrases Extraction Using Large Language Models. BHI Chen Zhao, Kareem Kudus, Sara Ketabi, Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	J	`jnl`	Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati
2024	J	`jnl`	Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad. CoRR Arash Rasti-Meymandi, Zahra Hosseini, Sina Davari, Abolfazl Moshiri, Shabnam Rahimi-Golkhandan, Khashayar Namdar, Nikta Feizi, Mohamad Tavakoli-Targhi, Farzad Khalvati
2023	—	`conf`	Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. MILLanD@MICCAI Sajith Rajapaksa, Khashayar Namdar, Farzad Khalvati
2023	—	`conf`	Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Sara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati
2022	J	`jnl`	A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. CoRR Jay J. Yoo, Khashayar Namdar, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
2022	J	`jnl`	A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation. CoRR Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour, Manohar Shroff, Andrea S. Doria, Farzad Khalvati
2022	J	`jnl`	Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators. CoRR Akino Watanabe, Sara Ketabi, Khashayar Namdar, Farzad Khalvati
2022	J	`jnl`	Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning. CoRR Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati
2022	J	`jnl`	Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images. CoRR Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
2022	J	`jnl`	Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology. CoRR Pranav Agnihotri, Sara Ketabi, Khashayar Namdar, Farzad Khalvati
2021	J	`jnl`	A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. J. Digit. Imaging Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati
2021	J	`jnl`	A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
2021	J	`jnl`	A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification. Frontiers Artif. Intell. Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati
2020	J	`jnl`	A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning. CoRR Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati
2020	J	`jnl`	A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks. CoRR Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati
2020	J	`jnl`	A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
2020	J	`jnl`	A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. CoRR Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati
2019	J	`jnl`	Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati