Wouter Crijns

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 5

Top Topics

Computed Tomography Images

Liver Segmentation

Deformable Registration

Top Venues

DLMIA/ML-CDS@MICCAI

CLIP/DCL/LL-COVID19/PPML@MICCAI

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

Siri Willems, Heleen Bollen, Julie Van Der Veen, Edmond Sterpin, Wouter Crijns, Sandra Nuyts, Frederik Maes
Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Liesbeth Vandewinckele, Siri Willems, David Robben, Julie Van Der Veen, Wouter Crijns, Sandra Nuyts, Frederik Maes
Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (5) (2020)
Siri Willems, Wouter Crijns, Edmond Sterpin, Karin Haustermans, Frederik Maes
Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning. AIRT@MICCAI (2019)
Siri Willems, Wouter Crijns, Agustina La Greca Saint-Esteven, Julie Van Der Veen, David Robben, Tom Depuydt, Sandra Nuyts, Karin Haustermans, Frederik Maes
Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Liesbeth Vandewinckele, David Robben, Wouter Crijns, Frederik Maes
Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI (2018)