Farzad Khalvati

Farzad Khalvati

University of Toronto

H-index: 28

North America-Canada

About Farzad Khalvati

Farzad Khalvati, With an exceptional h-index of 28 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Biomedical Engineering, Medical Imaging, Machine Learning, Computer Science, Industrial Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges

Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis

Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology

Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning

MRI-based end-to-end pediatric low-grade glioma segmentation and classification

Enhancing MR-guided laser interstitial thermal therapy planning using U-Net: a data-driven approach for predicting MR thermometry images

Farzad Khalvati Information

University

Position

AI Chair in Medical Imaging The Hospital for Sick Children

Citations(all)

3083

Citations(since 2020)

2469

Cited By

1498

hIndex(all)

28

hIndex(since 2020)

26

i10Index(all)

56

i10Index(since 2020)

43

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Farzad Khalvati Skills & Research Interests

Biomedical Engineering

Medical Imaging

Machine Learning

Computer Science

Industrial Engineering

Top articles of Farzad Khalvati

Title

Journal

Author(s)

Publication Date

Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges

Aashim Bhatia

Farzad Khalvati

Birgit Betina Ertl-Wagner

2024/1/4

Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis

Canadian Association of Radiologists Journal

Samantha M Stott

Yujie Wu

Shahob Hosseinpour

Chaojun Chen

Khashayar Namdar

...

2024/3/27

Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology

American Journal of Neuroradiology

Alexandre Boutet

Samuel S Haile

Andrew Z Yang

Hyo Jin Son

Mikail Malik

...

2024/3/25

Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer

Meng Zhou

Farzad Khalvati

2024/2/13

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

arXiv preprint arXiv:2402.03547

Khashayar Namdar

Matthias W Wagner

Cynthia Hawkins

Uri Tabori

Birgit B Ertl-Wagner

...

2024/2/5

Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning

American Journal of Neuroradiology

Matheus D Soldatelli

Khashayar Namdar

Uri Tabori

Cynthia Hawkins

Kristen Yeom

...

2024/4/11

MRI-based end-to-end pediatric low-grade glioma segmentation and classification

Canadian Association of Radiologists Journal

Partoo Vafaeikia

Matthias W Wagner

Cynthia Hawkins

Uri Tabori

Birgit B Ertl-Wagner

...

2024/2

Enhancing MR-guided laser interstitial thermal therapy planning using U-Net: a data-driven approach for predicting MR thermometry images

Saba Sadatamin

Sara Ketabi

Elise Donszelmann-Lund

Saba Abtahi

Yuri Chaban

...

2024/3/29

Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning

Frontiers in Public Health

Maryam Taheri-Shirazi

Khashayar Namdar

Kelvin Ling

Karima Karmali

Melissa D McCradden

...

2023/2/24

Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks

arXiv preprint arXiv:2310.01251

Meng Zhou

Matthias W Wagner

Uri Tabori

Cynthia Hawkins

Birgit B Ertl-Wagner

...

2023/10/2

Radiomic features based on MRI predict progression-free survival in pediatric diffuse midline glioma/diffuse intrinsic pontine glioma

Canadian Association of Radiologists Journal

Matthias W Wagner

Khashayar Namdar

Marc Napoleone

Nicolin Hainc

Afsaneh Amirabadi

...

2023/2

Automated adolescence scoliosis detection using augmented U-net with non-square kernels

Canadian Association of Radiologists Journal

Yujie Wu

Khashayar Namdar

Chaojun Chen

Shahob Hosseinpour

Manohar Shroff

...

2023/11

Using machine learning and silver nanoparticle-based surface-enhanced raman spectroscopy for classification of cardiovascular disease biomarkers

ACS Applied Nano Materials

Katelyn Dixon

Raissa Bonon

Felix Ivander

Saba Ale Ebrahim

Khashayar Namdar

...

2023/8/22

Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study

Sajith Rajapaksa

Jean Marie Uwabeza Vianney

Renell Castro

Farzad Khalvati

Shubhra Aich

2023

Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification

Sara Ketabi

Pranav Agnihotri

Hamed Zakeri

Khashayar Namdar

Farzad Khalvati

2023/10/8

An educational graphical user interface to construct convolutional neural networks for teaching artificial intelligence in radiology

Canadian Association of Radiologists Journal

Haiyue Jin

Matthias W Wagner

Birgit Ertl-Wagner

Farzad Khalvati

2023/8

T2-FLAIR mismatch sign in pediatric low-grade glioma

American Journal of Neuroradiology

Matthias W Wagner

L Nobre

K Namdar

F Khalvati

U Tabori

...

2023/7/1

Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification

Sajith Rajapaksa

Khashayar Namdar

Farzad Khalvati

2023/10/8

Evaluating knowledge transfer in the neural network for medical images

IEEE Access

Sina Akbarian

Laleh Seyyed-Kalantari

Farzad Khalvati

Elham Dolatabadi

2023/6/5

Increased confidence of radiomics facilitating pretherapeutic differentiation of BRAF-altered pediatric low-grade glioma

European Radiology

Kareem Kudus

Matthias W Wagner

Khashayar Namdar

Liana Nobre

Eric Bouffet

...

2023/10/7

See List of Professors in Farzad Khalvati University(University of Toronto)