Farzad Khalvati

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 63

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

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 (2024)
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 (2024)
Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study. CoRR (2023)
Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access 11 (2023)
Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks. CoRR (2023)
Sajith Rajapaksa, Khashayar Namdar, Farzad Khalvati
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. MILLanD@MICCAI (2023)
Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich
Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study. ICCV (Workshops) (2023)
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)
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 (2022)
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 (2022)
Sajith Rajapaksa, Farzad Khalvati
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models. CoRR (2022)
Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images. CoRR (2022)
Ernest Namdar, Matthias W. Wagner, Birgit Ertl-Wagner, Farzad Khalvati
Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. CoRR (2022)
Zilun Zhang, Farzad Khalvati
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input. CoRR (2022)
Jay J. Yoo, Khashayar Namdar, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. CoRR (2022)
Pranav Agnihotri, Sara Ketabi, Khashayar Namdar, Farzad Khalvati
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology. CoRR (2022)
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 (2022)
Partoo Vafaeikia, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. EMBC (2022)
Yue Tong Leung, Farzad Khalvati
Exploring COVID-19 Related Stressors Using Topic Modeling. CoRR (2022)
Akino Watanabe, Sara Ketabi, Khashayar Namdar, Farzad Khalvati
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators. CoRR (2022)
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 (2022)
Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati
A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification. Frontiers Artif. Intell. 4 (2021)
Saman Motamed, Farzad Khalvati
Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays. EMBC (2021)
Saman Motamed, Farzad Khalvati
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification. CoRR (2021)
Sajith Rajapaksa, Farzad Khalvati
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours. CoRR (2021)
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) (2021)
Saman Motamed, Farzad Khalvati
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification. CoRR (2021)
Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. CoRR (2021)
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. 4 (2021)
Saman Motamed, Farzad Khalvati
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data. EMBC (2021)
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 (2020)
Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning. CoRR (2020)
Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR (2020)
Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors 20 (5) (2020)
Saman Motamed, Patrik Rogalla, Farzad Khalvati
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray. CoRR (2020)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. BMC Medical Imaging 20 (1) (2020)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Frontiers Artif. Intell. 3 (2020)
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR (2020)
Saman Motamed, Farzad Khalvati
Inception Augmentation Generative Adversarial Network. CoRR (2020)
Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. CoRR (2020)
Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
Prostate Cancer Detection using Deep Convolutional Neural Networks. CoRR (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging. CoRR (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning. CoRR (2019)
Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. CoRR (2019)
Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR (2019)
Farzad Khalvati, Yucheng Zhang, Phuong H. U. Le, Isha Gujrathi, Masoom A. Haider
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI. Medical Imaging: Computer-Aided Diagnosis (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images. CoRR (2019)
Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging 18 (1) (2018)
Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR (2018)
Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR (2017)
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR (2017)
Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR (2017)
Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A. Haider
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. BMC Medical Imaging 17 (1) (2017)
Daniel S. Cho, Farzad Khalvati, David A. Clausi, Alexander Wong
A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer. ICIAR (2017)
Junjie Zhang, Sameer Baig, Alexander Wong, Masoom A. Haider, Farzad Khalvati
Segmentation of Prostate in Diffusion MR Images via Clustering. ICIAR (2017)
Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images. ICIAR (2017)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging 16 (2016)
Andrew Cameron, Farzad Khalvati, Masoom A. Haider, Alexander Wong
MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection. IEEE Trans. Biomed. Eng. 63 (6) (2016)
Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging 29 (2) (2016)
Farzad Khalvati, Junjie Zhang, Masoom A. Haider, Alexander Wong
Enhanced dual-stage correlated diffusion imaging. EMBC (2016)
Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. ICMLA (2016)
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging 35 (12) (2016)
Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong
A unified Bayesian-based compensated magnetic resonance imaging. EMBC (2016)
Farzad Khalvati, Alexander Wong, Masoom A. Haider
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Medical Imaging 15 (2015)
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR (2015)
Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
Self-Configuring and Evolving Fuzzy Image Thresholding. CoRR (2015)
Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
Self-Configuring and Evolving Fuzzy Image Thresholding. ICMLA (2015)
Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI (2015)
Farzad Khalvati, Cristina Gallego-Ortiz, Sharmila Balasingham, Anne L. Martel
Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas. IEEE Trans. Medical Imaging 34 (1) (2015)
Audrey G. Chung, Christian Scharfenberger, Farzad Khalvati, Alexander Wong, Masoom A. Haider
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. ICIAR (2015)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR (2015)
Farzad Khalvati, Mark D. Aagaard, Hamid R. Tizhoosh
Window memoization: toward high-performance image processing software. J. Real Time Image Process. 10 (1) (2015)
Alexander Wong, Farzad Khalvati, Masoom A. Haider
Dual-stage correlated diffusion imaging. ISBI (2015)
Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data. CoRR (2015)
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR (2015)
Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access 3 (2015)
Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
Evolving Fuzzy Image Segmentation with Self-Configuration. CoRR (2015)
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR (2015)
Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
Autoencoding the retrieval relevance of medical images. IPTA (2015)
Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
Autoencoding the Retrieval Relevance of Medical Images. CoRR (2015)
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. CoRR (2015)
Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati
Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. ICMLA (2015)
Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC (2014)
Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
EFIS - Evolving Fuzzy Image Segmentation. IEEE Trans. Fuzzy Syst. 22 (1) (2014)
Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh
Cascaded Window Memoization for Medical Imaging. EANN/AIAI (2) (2011)
Farzad Khalvati, Mark D. Aagaard
Window memoization: an efficient hardware architecture for high-performance image processing. J. Real Time Image Process. 5 (3) (2010)
Farzad Khalvati, Hamid R. Tizhoosh
An efficient architecture for hardware implementations of image processing algorithms. CIIP (2009)
Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian
Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR (2009)
Mark D. Aagaard, Vlad C. Ciubotariu, Jason T. Higgins, Farzad Khalvati
Combining Equivalence Verification and Completion Functions. FMCAD (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Farzad Khalvati