Stochastic Neighbor Embedding for interactive visualization of flow patterns in 4D flow MRI

Rotating Frame Relaxation Times for Off-Resonant MRI Pulses

Modelling X-Ray photon transport through a transformer-based neural network in computed tomography forward projection

Classification of primary liver tumors with radiomics and deep learning based on multiphasic MRI

Parametric Relaxation Along a Fictitious Field (pRAFF) Pulse for Robust Quantitative MRI: A Parameterized Exploration of the Subadiabatic and Adiabatic Regimes for Radiofrequency Pulses Design

Low Field Magnetic Resonance Imaging of the Eye: Inexpensive MRI for Ocular Conditions

Validation of Quantitative MRI: Fat Quantification and ADC Mapping in the Head-and-Neck Area

Conceptual probabilistic treatment planning approaches to deal with microscopic disease as an alternative to the Clinical Target Volume

Recovering Quantitative Maps from Conventional Weighted MR Images using Deep Learning

Assessment of Cerebrovascular Reactivity inPatients with Brain Metastases

Evaluating the Robustness of the Recurrent Inference Machine Based on MRI Lesion Data from Multiple Sclerosis Patients

Model based image reconstruction for low-field hand-held MRI: On imaging using field geometry and sample translations

Automated Bone Age Assessment based on DXA scans for a variety of ethnicities using Deep Transfer Learning

An international study on the collection and combination of optimised algorithms or predicting progression in Alzheimer’s Disease

AR-assisted craniotomy planning for tumor resection

The increased risk of post-treatment contrast-enhancing brain lesion in IMPT of glioma, and the mitigation thereof in treatment planning

Towards an understanding of the electron paramagnetic resonance spectra of the ferritin core: A study of human liver ferritin

Acceleration Magnification for Visualising Blood Flow Pulsation in the Skin

The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings