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:

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

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

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

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

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

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

Google Scholar

Farzad Khalvati Skills & Research Interests

Biomedical Engineering

Medical Imaging

Machine Learning

Computer Science

Industrial Engineering

Top articles of Farzad Khalvati

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

American Journal of Neuroradiology

2024/4/11

Farzad Khalvati
Farzad Khalvati

H-Index: 19

Matthias W Wagner
Matthias W Wagner

H-Index: 13

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

2024/3/29

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

Canadian Association of Radiologists Journal

2024/3/27

Yujie Wu
Yujie Wu

H-Index: 10

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

American Journal of Neuroradiology

2024/3/25

Alexandre Boutet
Alexandre Boutet

H-Index: 12

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

2024/2/13

Meng Zhou
Meng Zhou

H-Index: 23

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

arXiv preprint arXiv:2402.03547

2024/2/5

Matthias W Wagner
Matthias W Wagner

H-Index: 13

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

Canadian Association of Radiologists Journal

2024/2

Matthias W Wagner
Matthias W Wagner

H-Index: 13

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

2024/1/4

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

2023/10/8

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

2023/10/8

Sajith Rajapaksa
Sajith Rajapaksa

H-Index: 2

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

European Radiology

2023/10/7

Matthias W Wagner
Matthias W Wagner

H-Index: 13

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

arXiv preprint arXiv:2310.01251

2023/10/2

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

ACS Applied Nano Materials

2023/8/22

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

Canadian Association of Radiologists Journal

2023/8

T2-FLAIR mismatch sign in pediatric low-grade glioma

American Journal of Neuroradiology

2023/7/1

Evaluating knowledge transfer in the neural network for medical images

IEEE Access

2023/6/5

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

Frontiers in Public Health

2023/2/24

Wayne Lee
Wayne Lee

H-Index: 13

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

Canadian Association of Radiologists Journal

2023/2

Matthias W Wagner
Matthias W Wagner

H-Index: 13

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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

2023

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

Canadian Association of Radiologists Journal

2023/11

Yujie Wu
Yujie Wu

H-Index: 10

Farzad Khalvati
Farzad Khalvati

H-Index: 19

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