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)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 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)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging. - Jens D. Winne; Siri Willems; Siri Luthman; Danilo Babin; Hiep Luong 001; Wim Ceelen (CoRR, 2025)