Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. - Christiaan G. A. Viviers; Mark Ramaekers; Peter H. N. de With; Dimitrios Mavroeidis; Joost Nederend; Misha Luyer; Fons van der Sommen (CaPTion@MICCAI, 2022)

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. - Christiaan G. A. Viviers; Mark Ramaekers; M. M. Amaan Valiuddin; Terese Hellström; Nick Tasios; John van der Ven; Igor Jacobs; Lotte Ewals; Joost Nederend; Peter H. N. de With; Misha Luyer; Fons van der Sommen (ICCV (Workshops), 2023)

Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. - Terese Hellström; Christiaan G. A. Viviers; Mark Ramaekers; Nick Tasios; Joost Nederend; Misha Luyer; Peter H. N. de With; Fons van der Sommen (Computer-Aided Diagnosis, 2023)

Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. - Sanne E. Okel; Christiaan G. A. Viviers; Mark Ramaekers; Terese Hellström; Nick Tasios; Dimitrios Mavroeidis; Jon R. Pluyter; Igor Jacobs; Misha Luyer; Peter H. N. de With; Fons van der Sommen (AMAI@MICCAI, 2023)

From Experience to Experience: Key Insights for Improved Interaction with AI in Radiology. - Ning Fang; Jon R. Pluyter; Saskia Bakker; Igor Jacobs; Misha Luyer; Joost Nederend; Jeroen Raijmakers; Lin-Lin Chen; Mathias Funk (CHI Extended Abstracts, 2024)

Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits. - Terese A. E. Thornblad; Lotte Ewals; Joost Nederend; Misha Luyer; Peter H. N. de With; Fons van der Sommen (Comput. Biol. Medicine, 2025)