4 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Light-sheet microscopy to assess cancer pathology: current views and future trends
Uma Pisarović, Taichi Ochi, Iryna Samarska +6
In recent years, light-sheet fluorescence microscopy (LSFM) has emerged as a powerful tool for visualizing and analyzing cancer tissue samples, including patient-derived specimens,…
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
Daan Kuppens, Sebastiano Barbieri, Daisy van den Berg +4
Deep learning has proven to be a suitable alternative to least-squares (LSQ) fitting for parameter estimation in various quantitative MRI (QMRI) models. However, current deep learn…
A novel imaging setup for hybrid radiotherapy tailored PET/MR in patients with head and neck cancer
R. M. Winter, O. Engelsen, O. J. Bratting +4
Purpose: Radiotherapy commonly relies on CT, but there is growing interest in using hybrid PET/MR. Therefore, dedicated hardware setups have been proposed for PET/MR systems which…
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…