5 citations · 6 across the 3 of their papers we have counts for
4 papers
Clinical DVH metrics as a loss function for 3D dose prediction in head and neck radiotherapy
Ruochen Gao, Marius Staring, Frank Dankers
Purpose: Deep-learning-based three-dimensional (3D) dose prediction is widely used in automated radiotherapy workflows. However, most existing models are trained with voxel-wise re…
A deep learning model to reduce agent dose for contrast-enhanced MRI of the cerebellopontine angle cistern
Yunjie Chen, Rianne A. Weber, Olaf M. Neve +6
Objectives: To evaluate a deep learning (DL) model for reducing the agent dose of contrast-enhanced T1-weighted MRI (T1ce) of the cerebellopontine angle (CPA) cistern. Materials an…
Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve +5
Vestibular schwannomas (VS) are benign tumors that are generally managed by active surveillance with MRI examination. To further assist clinical decision-making and avoid overtreat…
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
Yunjie Chen, Marius Staring, Olaf M. Neve +5
Multi-sequence magnetic resonance imaging (MRI) has found wide applications in both modern clinical studies and deep learning research. However, in clinical practice, it frequently…