Farzad Khalvati

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

M. Soldatelli, U. Tabori, K. Namdar, 2024, American Journal of Neuroradiology.

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

A. Waspe, Sara Ketabi, L. Kahrs, 2024, Medical Imaging.

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

U. Tabori, Khashayar Namdar, L. Nobre, 2024, Scientific reports.

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

A. Bhatia, Farzad Khalvati, B. Ertl-Wagner, 2024, American Journal of Neuroradiology.

Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis

U. Tabori, Sara Ketabi, Cynthia Hawkins, 2024, 2411.00609.

Applications of machine learning to MR imaging of pediatric low-grade gliomas.

Kareem Kudus, Farzad Khalvati, Matthias W. Wagner, 2024, Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery.