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Author Details

Farzad Khalvati
Research Institute, The Hospital for Sick Children
2013
54
18
PMIDPaper TitleJournal TitlePublished Year
37401906MRI-Based End-To-End Pediatric Low-Grade Glioma Segmentation and Classification.Can Assoc Radiol J2024
37803212Increased confidence of radiomics facilitating pretherapeutic differentiation of BRAF-altered pediatric low-grade glioma.Eur Radiol2024
36908403Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning.Front Public Health2023
37706067Using Machine Learning and Silver Nanoparticle-Based Surface-Enhanced Raman Spectroscopy for Classification of Cardiovascular Disease Biomarkers.ACS Appl Nano Mater2023
35768942Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma/Diffuse Intrinsic Pontine Glioma.Can Assoc Radiol J2023
36949410Automated Adolescence Scoliosis Detection Using Augmented U-Net With Non-square Kernels.Can Assoc Radiol J2023
37348970T2-FLAIR Mismatch Sign in Pediatric Low-Grade Glioma.AJNR Am J Neuroradiol2023
37365116Hepatocellular adenoma subtyping by qualitative MRI features and machine learning algorithm of integrated qualitative and quantitative features: a proof-of-concept study.Clin Radiol2023
36475925An Educational Graphical User Interface to Construct Convolutional Neural Networks for Teaching Artificial Intelligence in Radiology.Can Assoc Radiol J2023
34695189The data behind the image-Deep learning and its potential impact in neuro-oncological imaging.Neuro Oncol2022
37492689Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs.Front Radiol2022
37492678Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators.Front Radiol2022
35731966Exploring COVID-19-Related Stressors: Topic Modeling Study.J Med Internet Res2022
35790559Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence.Pediatr Radiol2022
32749585Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment planning?Eur Radiol2021
33883609RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-ray.Sci Rep2021
33574103Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of <i>BRAF-</i>Mutated and <i>BRAF</i>-Fused Tumors.AJNR Am J Neuroradiol2021
34892067Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data.Annu Int Conf IEEE Eng Med Biol Soc2021
34892057Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays.Annu Int Conf IEEE Eng Med Biol Soc2021
34841040Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images.Inform Med Unlocked2021
34537858Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know.Neuroradiology2021
34079932A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification.Front Artif Intell2021
33934171Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer.Eur Radiol2021
33982917A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation: A Pilot Study on a Novel Biomarker.Transplantation2021
34254200A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks.J Digit Imaging2021
33446870Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.Sci Rep2021
33151087Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced Disease Undergoing Chemotherapy.Can Assoc Radiol J2021
31479397Reducing Unnecessary Prostate Multiparametric Magnetic Resonance Imaging by Using Clinical Parameters to Predict Negative and Indeterminate Findings.J Urol2020
33733206Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma.Front Artif Intell2020
32013871CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging.BMC Med Imaging2020
32591889Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.Eur Radiol2020
32164378Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.Sensors (Basel)2020
30694165Value of Increasing Biopsy Cores per Target with Cognitive MRI-targeted Transrectal US Prostate Biopsy.Radiology2019
31863034Prostate Cancer Detection using Deep Convolutional Neural Networks.Sci Rep2019
30931954Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma.Sci Rep2019
29507399Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.Sci Rep2018
29769042MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.BMC Med Imaging2018
28629416CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.BMC Med Imaging2017
28418006Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.Sci Rep2017
28114978CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib.Cancer Imaging2017
29057288Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks.J Med Imaging (Bellingham)2017
29021990Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection.J Med Imaging (Bellingham)2017
27392347Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model.IEEE Trans Med Imaging2016
28269511Enhanced dual-stage correlated diffusion imaging.Annu Int Conf IEEE Eng Med Biol Soc2016
28268538A unified Bayesian-based compensated magnetic resonance imaging.Annu Int Conf IEEE Eng Med Biol Soc2016
26546179Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.J Digit Imaging2016
26441442MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection.IEEE Trans Biomed Eng2016
27566536Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.BMC Med Imaging2016
25137725Automated segmentation of breast in 3-D MR images using a robust atlas.IEEE Trans Med Imaging2015
26242589Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.BMC Med Imaging2015
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Collaborators

Masoom A Haider
University Health Network
Co-authored papers 30
Birgit Ertl-Wagner
The Hospital for Sick Children
Co-authored papers 8
Matthias W Wagner
The Hospital for Sick Children
Co-authored papers 7
Steven Gallinger
Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto
Co-authored papers 7
Cynthia Hawkins
The Hospital for Sick Children
Co-authored papers 5
Uri Tabori
Co-authored papers 4
Eric Bouffet
The Hospital for Sick Children
Co-authored papers 3
Asthik Biswas
Great Ormond Street Hospital NHS Foundation Trust
Co-authored papers 2
Afsaneh Amirabadi
9The Hospital for Sick Children
Co-authored papers 2
Melissa D McCradden
University of Adelaide
Co-authored papers 2
David A Palma
University of Western Ontario
Co-authored papers 1
Michelle R Downes
University of Toronto
Co-authored papers 1
Khashayar Namdar
The Hospital for Sick Children (SickKids)
Co-authored papers 1
Wayne Lee
The Hospital for Sick Children (SickKids)
Co-authored papers 1
Glenn Bauman
Western University and London Regional Cancer Program
Co-authored papers 1
Kelvin Ling
The Hospital for Sick Children (SickKids)
Co-authored papers 1
Oliver F Bathe
Cumming School of Medicine, University of Calgary
Co-authored papers 1
Lauren E Erdman
The Hospital for Sick Children
Co-authored papers 1
Lauren Erdman
Center for Computational Medicine, Hospital for Sick Children Research Institute
Co-authored papers 1
Suranna R Monah
The Hospital for Sick Children, University Ave.
Co-authored papers 1
Karima Karmali
The Hospital for Sick Children (SickKids)
Co-authored papers 1
Logi Vidarsson
The Hospital for Sick Children
Co-authored papers 1
Maryam Taheri-Shirazi
The Hospital for Sick Children (SickKids)
Co-authored papers 1
Osvaldo Espin-Garcia
Princess Margaret Cancer Centre, University Health Network
Co-authored papers 1
Julie M Wilson
Ontario Institute for Cancer Research
Co-authored papers 1
Release 1.2