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ORCIDChristiaan G. A. Viviers
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2020 – today
- 2025
[j2]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. IEEE Trans. Medical Imaging 44(1): 384-395 (2025)- 2024
- [j1]Christiaan G. A. Viviers
, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen:
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. IEEE Trans. Image Process. 33: 2462-2476 (2024) - [c10]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen:
Retaining Informative Latent Variables in Probabilistic Segmentation. ICASSP 2024: 5635-5639 - [c9]Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen:
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. UNSURE@MICCAI 2024: 149-159 - [i11]Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen:
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. CoRR abs/2405.11677 (2024) - [i10]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? CoRR abs/2409.03043 (2024) - [i9]M. M. Amaan Valiuddin, Ruud J. G. van Sloun, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen:
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation. CoRR abs/2411.16370 (2024) - 2023
- [c8]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:
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. ICCV (Workshops) 2023: 2413-2423 - [c7]Terese Hellström, Christiaan G. A. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen:
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. Computer-Aided Diagnosis 2023 - [c6]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. Computer-Aided Diagnosis 2023 - [c5]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:
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. AMAI@MICCAI 2023: 52-61 - [i8]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. CoRR abs/2305.00950 (2023) - [i7]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR abs/2307.16694 (2023) - [i6]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:
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. CoRR abs/2310.00639 (2023) - 2022
- [c4]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI 2022: 99-107 - [c3]Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CaPTion@MICCAI 2022: 139-148 - [c2]Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. Image-Guided Procedures 2022 - [i5]Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CoRR abs/2208.03581 (2022) - [i4]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR abs/2208.04639 (2022) - [i3]Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray. CoRR abs/2211.03211 (2022) - 2021
- [c1]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI 2021: 75-88 - [i2]M. M. Amaan Valiuddin, Christiaan G. A. Viviers:
Out-of-Distribution Detection of Melanoma using Normalizing Flows. CoRR abs/2103.12672 (2021) - [i1]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR abs/2108.02155 (2021)
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