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Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
TMLR 2025 [pdf] [openreview]
A. Valiuddin, R. van Sloun, C. Viviers, P. de With, F. van der Sommen
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
IEEE TMI 2025 [pdf]
A. Valiuddin, C. Viviers, R. Van Sloun, P. de With, F. van der Sommen
Retaining Informative Latent Variables in Probabilistic Segmentation
ICASSP 2024 (Oral) [pdf]
A. Valiuddin, C. Viviers, R. van Sloun, P. de With, F. van der Sommen
Probabilistic 3D Segmentation for Aleatoric Uncertainty Quantification in Full 3D Medical Data
SPIE Medical Imaging 2023 [pdf]
C. Viviers, A. Valiuddin, P. de With, F. van der Sommen
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic ductal Adenocarcinoma
CVAMD @ ICCV 2023 [pdf]
C. Viviers, M. Ramaekers, A. Valiuddin, T. Hellström, N. Tasios, J. van der Ven, I. Jacobs, L. Ewals, J. Nederend, M. Luyer, F. van der Sommen
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
UNSURE @ MICCAI 2021 [pdf]
A. Valiuddin, c. Viviers, R. van Sloun, P. de With, F. van der Sommen
Out-of-distribution / anomaly detection
Zero-Shot Image Anomaly Detection Using Generative Foundation Models
ADFM @ ICCV 2025 [pdf]
L. Abdi, A. Valiuddin, F. Caetano, C. Viviers, F. Van Der Sommen
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
UNSURE @ MICCAI 2025 [pdf]
L. Abdi, F. Caetano, A. Valiuddin, C. Viviers, H. Joudeh, F. van der Sommen
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
OOD-CV @ ECCV 2024 [pdf]
C. Viviers, A. Valiuddin, F. Caetano, L. Abdi, L. Filatova, P. de With, F. van der Sommen
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
CAPTION @ MICCAI 2022 [pdf]
A. Valiuddin, C. Viviers, R. van Sloun, P. de With, F. van der Sommen
Others
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
DGM @ MICCAI 2025 [pdf]
F. Caetano, L. Abdi, C. Viviers, A. Valiuddin, F. van der Sommen