Farzad Khalvati

108 papers B 1C 3Misc 1Journal 74Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial Intelligence for Sentiment Analysis of Persian Poetry. CoRR Arash Zargar, Abolfazl Moshiri, Mitra Shafaei, Shabnam Rahimi-Golkhandan, Mohamad Tavakoli-Targhi, Farzad Khalvati
2025	J	`jnl`	A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI. CoRR Felicia Liu, Jay J. Yoo, Farzad Khalvati
2025	J	`jnl`	AI-Driven MRI-based Brain Tumour Segmentation Benchmarking. CoRR Connor Ludwig, Khashayar Namdar, Farzad Khalvati
2025	—	`conf`	ClinicalFMamba: Advancing Clinical Assessment Using Mamba-Based Multimodal Neuroimaging Fusion. MLMI@MICCAI Meng Zhou, Farzad Khalvati
2025	J	`jnl`	Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks. Comput. Biol. Medicine Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
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`	Predicting pediatric diagnostic imaging patient no-show and extended wait-times using LLMs, regression, and tree based models. Frontiers Artif. Intell. Daniel Rafique, Xuan Liu, Bo Gong, Laura Belsito, Melissa D. McCradden, Mjaye L. Mazwi, Wayne Lee, Graham Ohanlon, Kyle Tsang, Manohar Shroff, Birgit Ertl-Wagner, Farzad Khalvati
2025	J	`jnl`	ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling. CoRR Martin Licht, Sara Ketabi, Farzad Khalvati
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	—	`conf`	Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer. MIDL Meng Zhou, 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`	Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion. BIBM Meng Zhou, Yuxuan Zhang, Xiaolan Xu, Jiayi Wang, Farzad Khalvati
2024	J	`jnl`	Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion. CoRR Meng Zhou, Yuxuan Zhang, Xiaolan Xu, Jiayi Wang, 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
2024	J	`jnl`	Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis. CoRR Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Betina Ertl-Wagner, 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	J	`jnl`	Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2023	J	`jnl`	Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks. CoRR Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, 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
2023	—	`conf`	Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study. ICCV (Workshops) Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
2023	J	`jnl`	Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study. CoRR Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
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`	Exploring COVID-19 Related Stressors Using Topic Modeling. CoRR Yue Tong Leung, 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	—	`conf`	Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. EMBC Partoo Vafaeikia, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input. CoRR Zilun Zhang, 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`	Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. CoRR Ernest Namdar, Matthias W. Wagner, Birgit Ertl-Wagner, Farzad Khalvati
2022	J	`jnl`	Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models. CoRR Sajith Rajapaksa, 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
2021	J	`jnl`	Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. CoRR Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
2021	—	`conf`	Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays. EMBC Saman Motamed, Farzad Khalvati
2021	J	`jnl`	Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours. CoRR Sajith Rajapaksa, Farzad Khalvati
2021	J	`jnl`	Multi-class Generative Adversarial Nets for Semi-supervised Image Classification. CoRR Saman Motamed, Farzad Khalvati
2021	—	`conf`	Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data. EMBC Saman Motamed, Farzad Khalvati
2021	J	`jnl`	Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification. CoRR Saman Motamed, 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
2020	J	`jnl`	CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. BMC Medical Imaging Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
2020	J	`jnl`	Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2020	J	`jnl`	Inception Augmentation Generative Adversarial Network. CoRR Saman Motamed, Farzad Khalvati
2020	J	`jnl`	Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Frontiers Artif. Intell. Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
2020	J	`jnl`	RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray. CoRR Saman Motamed, Patrik Rogalla, Farzad Khalvati
2020	J	`jnl`	Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2019	J	`jnl`	A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. CoRR Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati
2019	J	`jnl`	CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging. CoRR Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, 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
2019	J	`jnl`	Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images. CoRR Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
2019	J	`jnl`	Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning. CoRR Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
2019	—	`conf`	PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI. Computer-Aided Diagnosis Farzad Khalvati, Yucheng Zhang, Phuong H. U. Le, Isha Gujrathi, Masoom A. Haider
2019	J	`jnl`	Prostate Cancer Detection using Deep Convolutional Neural Networks. CoRR Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
2018	J	`jnl`	MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
2018	J	`jnl`	ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2017	—	`conf`	A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer. ICIAR Daniel S. Cho, Farzad Khalvati, David A. Clausi, Alexander Wong
2017	J	`jnl`	CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. BMC Medical Imaging Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A. Haider
2017	—	`conf`	Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2017	J	`jnl`	Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2017	—	`conf`	Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
2017	—	`conf`	Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images. ICIAR Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati
2017	—	`conf`	Segmentation of Prostate in Diffusion MR Images via Clustering. ICIAR Junjie Zhang, Sameer Baig, Alexander Wong, Masoom A. Haider, Farzad Khalvati
2016	—	`conf`	A unified Bayesian-based compensated magnetic resonance imaging. EMBC Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong
2016	C	`conf`	Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. ICMLA Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider
2016	—	`conf`	Enhanced dual-stage correlated diffusion imaging. EMBC Farzad Khalvati, Junjie Zhang, Masoom A. Haider, Alexander Wong
2016	J	`jnl`	MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection. IEEE Trans. Biomed. Eng. Andrew Cameron, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2016	J	`jnl`	Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2016	J	`jnl`	Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh
2016	J	`jnl`	Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Autoencoding the Retrieval Relevance of Medical Images. CoRR Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	—	`conf`	Autoencoding the retrieval relevance of medical images. IPTA Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas. IEEE Trans. Medical Imaging Farzad Khalvati, Cristina Gallego-Ortiz, Sharmila Balasingham, Anne L. Martel
2015	J	`jnl`	Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Medical Imaging Farzad Khalvati, Alexander Wong, Masoom A. Haider
2015	J	`jnl`	Discovery Radiomics for Computed Tomography Cancer Detection. CoRR Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	—	`conf`	Dual-stage correlated diffusion imaging. ISBI Alexander Wong, Farzad Khalvati, Masoom A. Haider
2015	J	`jnl`	Evolving Fuzzy Image Segmentation with Self-Configuration. CoRR Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	C	`conf`	Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. ICMLA Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data. CoRR Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. CoRR Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2015	C	`conf`	Self-Configuring and Evolving Fuzzy Image Thresholding. ICMLA Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	J	`jnl`	Self-Configuring and Evolving Fuzzy Image Thresholding. CoRR Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2015	—	`conf`	Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
2015	J	`jnl`	Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2015	—	`conf`	Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. ICIAR Audrey G. Chung, Christian Scharfenberger, Farzad Khalvati, Alexander Wong, Masoom A. Haider
2015	J	`jnl`	Window memoization: toward high-performance image processing software. J. Real Time Image Process. Farzad Khalvati, Mark D. Aagaard, Hamid R. Tizhoosh
2014	J	`jnl`	EFIS - Evolving Fuzzy Image Segmentation. IEEE Trans. Fuzzy Syst. Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2014	—	`conf`	Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
2011	Misc	`conf`	Cascaded Window Memoization for Medical Imaging. AIAI Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh
2010	J	`jnl`	Window memoization: an efficient hardware architecture for high-performance image processing. J. Real Time Image Process. Farzad Khalvati, Mark D. Aagaard
2009	—	`conf`	An efficient architecture for hardware implementations of image processing algorithms. CIIP Farzad Khalvati, Hamid R. Tizhoosh
2009	—	`conf`	Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian
2008	—	`—`	Computational Redundancy in Image Processing. Farzad Khalvati
2004	B	`conf`	Combining Equivalence Verification and Completion Functions. FMCAD Mark D. Aagaard, Vlad C. Ciubotariu, Jason T. Higgins, Farzad Khalvati