843 citations · 1.4k across the 19 of their papers we have counts for
19 papers
Joint optimization of a -VAE for ECG task-specific feature extraction
Viktor van der Valk, Douwe Atsma, Roderick Scherptong +1
Electrocardiography is the most common method to investigate the condition of the heart through the observation of cardiac rhythm and electrical activity, for both diagnosis and mo…
Local Implicit Neural Representations for Multi-Sequence MRI Translation
Yunjie Chen, Marius Staring, Jelmer M. Wolterink +1
In radiological practice, multi-sequence MRI is routinely acquired to characterize anatomy and tissue. However, due to the heterogeneity of imaging protocols and contra-indications…
Report on AI-Infused Contouring Workflows for Adaptive Proton Therapy in the Head and Neck
Nicolas F. Chaves-de-Plaza, Prerak Mody, Klaus Hildebrandt +5
Delineation of tumors and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive proton therap…
Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy
Prerak Mody, Nicolas Chaves-de-Plaza, Klaus Hildebrandt +3
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted…
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
Jingnan Jia, Marius Staring, Irene Hernández-Girón +3
Visually scoring lung involvement in systemic sclerosis from CT scans plays an important role in monitoring progression, but its labor intensiveness hinders practical application.…
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi +4
Medical image registration and segmentation are two of the most frequent tasks in medical image analysis. As these tasks are complementary and correlated, it would be beneficial to…