activity
20192025
most citedA Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning

10 citations · 16 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.CV2025★ 1 cited

PET Head Motion Estimation Using Supervised Deep Learning with Attention

Zhuotong Cai, Tianyi Zeng, Jiazhen Zhang +8

Head movement poses a significant challenge in brain positron emission tomography (PET) imaging, resulting in image artifacts and tracer uptake quantification inaccuracies. Effecti…

eess.IV2025

Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography

Eléonore V. Lieffrig, Takuya Toyonaga, Jiazhen Zhang +1

Brain positron emission tomography (PET) imaging is broadly used in research and clinical routines to study, diagnose, and stage Alzheimer's disease (AD). However, its potential ca…