Farzad Khalvati

Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know

2021 · 152 Zit. · Neuroradiology

Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence

2022 · 14 Zit. · Pediatric Radiology

Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators

2022 · 14 Zit. · Frontiers in Radiology

An Educational Graphical User Interface to Construct Convolutional Neural Networks for Teaching Artificial Intelligence in Radiology

2022 · 10 Zit. · Canadian Association of Radiologists Journal

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

2024 · 8 Zit. · American Journal of Neuroradiology

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

2024 · 8 Zit. · American Journal of Neuroradiology

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

2023 · 2 Zit. · Lecture notes in computer science

Federated Learning in Neurology: Bridging Data Privacy and Artificial Intelligence for Brain Health

2025 · 1 Zit. · Seminars in Neurology

P.074 Assessing the emergence and evolution of artificial intelligence and machine learning research in neuroradiology

2024 · 0 Zit. · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques

Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology

2022 · 0 Zit. · arXiv (Cornell University)