Christiaan G. A. Viviers

According to our database, Christiaan G. A. Viviers authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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

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

CoRR, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

CoRR, 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

Proceedings of the Applications of Medical Artificial Intelligence, 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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 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

Proceedings of the Cancer Prevention Through Early Detection, 2022

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

Proceedings of the Cancer Prevention Through Early Detection, 2022

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

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 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021