Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. - Liesbeth Vandewinckele; David Robben; Wouter Crijns; Frederik Maes (DLMIA/ML-CDS@MICCAI, 2018)

Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy. - Siri Willems; Wouter Crijns; Agustina La Greca Saint-Esteven; Julie Van Der Veen; David Robben; Tom Depuydt; Sandra Nuyts; Karin Haustermans; Frederik Maes (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning. - Siri Willems; Wouter Crijns; Edmond Sterpin; Karin Haustermans; Frederik Maes (AIRT@MICCAI, 2019)

Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks. - Liesbeth Vandewinckele; Siri Willems; David Robben; Julie Van Der Veen; Wouter Crijns; Sandra Nuyts; Frederik Maes (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback. - Siri Willems; Heleen Bollen; Julie Van Der Veen; Edmond Sterpin; Wouter Crijns; Sandra Nuyts; Frederik Maes (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)