Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (UNSURE/PIPPI@MICCAI, 2021)

Out-of-Distribution Detection of Melanoma using Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers (CoRR, 2021)

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (CoRR, 2021)

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (CaPTion@MICCAI, 2022)

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)

Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. - Christiaan G. A. Viviers; Joel de Bruijn; Lena Filatova; Peter H. N. de With; Fons van der Sommen (Image-Guided Procedures, 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)

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. - Christiaan G. A. Viviers; M. M. Amaan Valiuddin; 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)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift? - Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Francisco Caetano; Lemar Abdi; Lena Filatova; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (17), 2024)

Retaining Informative Latent Variables in Probabilistic Segmentation. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud van Sloun; Peter H. N. de With; Fons van der Sommen (ICASSP, 2024)

Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. - Lemar Abdi; M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (UNSURE@MICCAI, 2024)

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation. - M. M. Amaan Valiuddin; Ruud J. G. van Sloun; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (CoRR, 2024)

Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. - Christiaan G. A. Viviers; Lena Filatova; Maurice Termeer; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Image Process., 2024)

DisCoPatch: Batch Statistics Are All You Need For OOD Detection, But Only If You Can Trust Them. - Francisco Caetano; Christiaan G. A. Viviers; Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Medical Imaging, 2025)

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs. - Francisco Caetano; Christiaan G. A. Viviers; Lena Filatova; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models. - Francisco Caetano; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching. - Francisco Caetano; Lemar Abdi; Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Fons van der Sommen (CoRR, 2025)

Zero-Shot Image Anomaly Detection Using Generative Foundation Models. - Lemar Abdi; M. M. Amaan Valiuddin; Francisco Caetano; Christiaan G. A. Viviers; Fons van der Sommen (CoRR, 2025)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories. - Lemar Abdi; Francisco Caetano; M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Hamdi Joudeh; Fons van der Sommen (CoRR, 2025)