Farzad Khalvati - Publications, H-index & Citations

Farzad Khalvati

University of Toronto

30H指数

185论文数

3.4K被引数

收录论文 36

发表时间

Federated Learning in Neurology: Bridging Data Privacy and Artificial Intelligence for Brain Health 神经病学中的联邦学习：连接数据隐私与人工智能以促进脑健康

Seminars in Neurology

IF2

2025-12-01

PREAI

Soltanieh, Sahar; Khalvati, Farzad; Yeh, E. Ann

Segmentation-free pretherapeutic assessment of BRAF-status in pediatric low-grade gliomas 无分割预治疗评估儿童低级别胶质瘤的BRAF状态

Communications Medicine

IF6.3

2025-11-27

OAAI

Kareem Kudus; Matthias Wagner; Min Sheng; Julie Bennett; Anthony Liu; Peter Dirks; Uri Tabori; Cynthia Hawkins; Birgit Betina Ertl-Wagner; Farzad Khalvati

Multiclass machine learning models for molecular subtype identification of pediatric low-grade glioma using bi-institutional MRIs for precision medicine 基于双机构MRI的儿童低级别胶质瘤分子亚型识别的多分类机器学习模型研究

npj Precision Oncology

IF8

2025-11-17

OAAI

Khashayar Namdar; Matthias W. Wagner; Min Sheng; Peter Dirks; Kristen W. Yeom; Cynthia Hawkins; Uri Tabori; Birgit B. Ertl-Wagner; Farzad Khalvati

Correction: Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images 更正：用于弱监督分割和脑肿瘤MR图像下游分类的生成式AI

Scientific Reports

IF3.9

2025-10-16

OAAI

Jay J. Yoo; Khashayar Namdar; Matthias W. Wagner; Kristen W. Yeom; Liana F. Nobre; Uri Tabori; Cynthia Hawkins; Birgit B. Ertl-Wagner; Farzad Khalvati

Seeing Beyond the Scan: Artificial Intelligence and the Future of Detecting Hypoxic-Ischemic Brain Injury in Children 超越扫描：人工智能与儿童缺氧缺血性脑损伤检测的未来

Resuscitation

IF4.6

2025-07-21

PREAI

Barnaby R. Scholefield; Farzad Khalvati

Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis

SCIENTIFIC REPORTS

IF3.9

2025-03-30

OAAI

Ketabi, Sara; Wagner, Matthias W.; Hawkins, Cynthia; Tabori, Uri; Ertl-Wagner, Birgit Betina; Khalvati, Farzad

Beyond hand-crafted features for pretherapeutic molecular status identification of pediatric low-grade gliomas

SCIENTIFIC REPORTS

IF3.9

2024-08-17

OAAI

Kudus, Kareem; Wagner, Matthias W.; Namdar, Khashayar; Bennett, Julie; Nobre, Liana; Tabori, Uri; Hawkins, Cynthia; Ertl-Wagner, Birgit Betina; Khalvati, Farzad

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

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2024-04-11

PREAI

Soldatelli, Matheus D.; Namdar, Khashayar; Tabori, Uri; Hawkins, Cynthia; Yeom, Kristen; Khalvati, Farzad; Ertl-Wagner, Birgit B.; Wagner, Matthias W.

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

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2024-03-23

PREAI

Boutet, Alexandre; Haile, Samuel S.; Yang, Andrew Z.; Son, Hyo Jin; Malik, Mikail; Pai, Vivek; Nasralla, Mehran; Germann, Jurgen; Vetkas, Artur; Khalvati, Farzad; Ertl-Wagner, Birgit B.

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

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2024-01-04

PREAI

Bhatia, Aashim; Khalvati, Farzad; Ertl-Wagner, Birgit Betina

T2-FLAIR Mismatch Sign in Pediatric Low-Grade Glioma

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2023-06-22

OAAI

Wagner, M. W.; Nobre, L.; Namdar, K.; Khalvati, F.; Tabori, U.; Hawkins, C.; Ertl-Wagner, B. B.

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

FRONTIERS IN PUBLIC HEALTH

IF3.4

2023-02-24

OAAI

Taheri-Shirazi, Maryam; Namdar, Khashayar; Ling, Kelvin; Karmali, Karima; McCradden, Melissa D.; Lee, Wayne; Khalvati, Farzad

Evaluating Knowledge Transfer in the Neural Network for Medical Images

IEEE ACCESS

IF3.6

2023-01-01

OAAI

Akbarian, S.; Seyyed-Kalantari, L.; Khalvati, F.; Dolatabadi, E.

Exploring COVID-19-Related Stressors: Topic Modeling Study

JOURNAL OF MEDICAL INTERNET RESEARCH

IF6

2022-07-13

OAAI

Leung, Yue Tong; Khalvati, Farzad

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account

FRONTIERS IN ARTIFICIAL INTELLIGENCE

IF4.7

2021-11-30

OAAI

Namdar, Khashayar; Haider, Masoom A.; Khalvati, Farzad

The data behind the image-Deep learning and its potential impact in neuro-oncological imaging

NEURO-ONCOLOGY

IF13.4

2021-10-25

OAAI

Ertl-Wagner, Birgit; Khalvati, Farzad

A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation: A Pilot Study on a Novel Biomarker

TRANSPLANTATION

IF5

2021-10-21

OAAI

Ivanics, Tommy; Salinas-Miranda, Emmanuel; Abreu, Phillipe; Khalvati, Farzad; Namdar, Khashayar; Dong, Xin; Deniffel, Dominik; Gorgen, Andre; Erdman, Lauren; Jhaveri, Kartik; Haider, Masoom; Veit-Haibach, Patrick; Sapisochin, Gonzalo

A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification 基于迁移学习的脑肿瘤主动学习分类框架

FRONTIERS IN ARTIFICIAL INTELLIGENCE

IF4.7

2021-05-17

OAAI

Hao, Ruqian; Namdar, Khashayar; Liu, Lin; Khalvati, Farzad

RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-ray

SCIENTIFIC REPORTS

IF3.9

2021-04-21

OAAI

Motamed, Saman; Rogalla, Patrik; Khalvati, Farzad

Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2021-02-11

OAAI

Wagner, M. W.; Hainc, N.; Khalvati, F.; Namdar, K.; Figueiredo, L.; Sheng, M.; Laughlin, S.; Shroff, M. M.; Bouffet, E.; Tabori, U.; Hawkins, C.; Yeom, K. W.; Ertl-Wagner, B. B.

研究方向