843 citations · 1.4k across the 19 of their papers we have counts for
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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…
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
Jingnan Jia, Zhiwei Zhai, M. Els Bakker +3
Pulmonary lobe segmentation is an important preprocessing task for the analysis of lung diseases. Traditional methods relying on fissure detection or other anatomical features, suc…
ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
Sahar Yousefi, Hessam Sokooti, Wouter M. Teeuwisse +4
Positron Emission Tomography (PET) is an imaging method that can assess physiological function rather than structural disturbances by measuring cerebral perfusion or glucose consum…