activity
20202022
most citedA brief history of AI: how to prevent another winter (a critical review)

187 citations · 207 across the 11 of their papers we have counts for

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Showing physics.med-phShow all

5 papers · 1 filter

physics.med-ph2022★ 2 cited

Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)

Arman Rahmim, Tyler J. Bradshaw, Irène Buvat +10

The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various community me…

physics.med-ph2021★ 1 cited

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics

Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar +3

Artificial intelligence (AI) techniques have significant potential to enable effective, robust and automated image phenotyping including identification of subtle patterns. AI-based…

physics.med-ph2021★ 1 cited

Role of AI in Theranostics: Towards Routine Personalized Radiopharmaceutical Therapies

Julia Brosch-Lenz, Fereshteh Yousefirizi, Katherine Zukotynski +5

We highlight emerging uses of artificial intelligence (AI) in the field of theranostics, focusing on its significant potential to enable routine and reliable personalization of rad…

physics.med-ph2021★ 7 cited

Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician

Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski +5

Artificial intelligence (AI)-based methods are showing promise in multiple medical-imaging applications. Thus, there is substantial interest in clinical translation of these method…

physics.med-ph2021

Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging

Fereshteh Yousefirizi, Abhinav K. Jha, Julia Brosch-Lenz +2

Artificial intelligence (AI) techniques for image-based segmentation have garnered much attention in recent years. Convolutional neural networks (CNNs) have shown impressive result…