Anahita Fathi Kazerooni

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art

2025 · 5 Zit. · The Lancet Oncology

NIMG-66. AI-BASED PROGNOSTIC IMAGING BIOMARKERS FOR PRECISION NEUROONCOLOGY AND THE RESPOND CONSORTIUM

2020 · 3 Zit. · Neuro-Oncology

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation

2025 · 3 Zit. · The Lancet Oncology

NEIM-07 HARNESSING END-TO-END CLOUD-BASED WORKFLOWS AND MULTI-MODAL DATA ANALYTICS IN PEDIATRIC BRAIN TUMOR IMAGING AT THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN)

2023 · 0 Zit. · Neuro-Oncology Advances

IMG-03. HARNESSING COMPUTATIONAL IMAGING, SCALABLE CLOUD-BASED WORKFLOWS, AND MULTI-MODAL DATA ANALYTICS WITH INTEROPERABLE SOFTWARE PLATFORMS IN PEDIATRIC NEURO-ONCOLOGY; THE ROAD AHEAD FOR CHILDREN’S BRAIN TUMOR NETWORK (CBTN)

2023 · 0 Zit. · Neuro-Oncology