Christiaan G. A. Viviers

According to our database1, Christiaan G. A. Viviers authored at least 11 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.
CoRR, 2023

Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma.
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.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features.
Proceedings of the Cancer Prevention Through Early Detection, 2022

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows.
Proceedings of the Cancer Prevention Through Early Detection, 2022

2021
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows.
CoRR, 2021

Out-of-Distribution Detection of Melanoma using Normalizing Flows.
CoRR, 2021

Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021


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