Mr. Christiaan G.A. Viviers Profile

Christiaan G.A. Viviers

at Technische Univ. Eindhoven

SPIE Involvement:

Author

Area of Expertise:

Deep Learning , Machine Learning , Medical Image Analysis

Profile Summary

I am extremely excited about what modern machine learning can do for the medical domain. As such, I am currently engaged in my PhD Studies at the Technical University of Eindhoven with a strong focus on applied deep learning in medical imaging.

Publications (5)

Proceedings Article | 2 April 2024 Poster + Paper

Evaluating task-specific augmentations in self-supervised pre-training for 3D medical image analysis

C. H. Claessens, J. J. M. Hamm, C. G. Viviers, J. Nederend, D. Grünhagen, P. Tanis, P. H. de With, F. van der Sommen

Proceedings Volume 12926, 129261L (2024) https://doi.org/10.1117/12.3000850

KEYWORDS: Medical imaging, 3D image processing, 3D modeling, Lung, Education and training, Image segmentation, Voxels, Tumors, Image classification

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Proceedings Article | 2 April 2024 Poster + Paper

Robustness evaluation of CAD systems for lung nodule segmentation using clinically relevant image perturbations

Fidan Mammadli, Terese A. Hellström, Christiaan G. Viviers, Igor Jacobs, Lotte J. Ewals, Nick Tasios, Dimitrios Mavroeidis, Hendrika P. Verhees, Peter H. de With, Joost Nederend, Fons van der Sommen

Proceedings Volume 12926, 1292628 (2024) https://doi.org/10.1117/12.3006211

KEYWORDS: Motion models, Lung, Computed tomography, Data modeling, Image segmentation, CT reconstruction, Artificial intelligence, Simulations, Performance modeling, Cancer detection

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Proceedings Article | 7 April 2023 Presentation + Paper

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data

Christiaan G. Viviers, M. M. Amaan Valiuddin, Peter H. de With, Fons van der Sommen

Proceedings Volume 12465, 124651I (2023) https://doi.org/10.1117/12.2654255

KEYWORDS: Measurement uncertainty, Deep convolutional neural networks, Spatial data uncertainty, 3D modeling, Education and training, Image segmentation, Computed tomography, Lung, 3D image processing, Voxels, Computer aided detection

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Proceedings Article | 7 April 2023 Poster + Paper

Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation

Terese A. Hellström, Christiaan G. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha D. Luyer, Peter H. de With, Fons van der Sommen

Proceedings Volume 12465, 124652M (2023) https://doi.org/10.1117/12.2654164

KEYWORDS: Tumors, Cancer detection, Image segmentation, Pancreas, 3D modeling, Computed tomography, Performance modeling, Pancreatic cancer, Artificial intelligence, Education and training

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray

Christiaan G. A. Viviers, Joël de Bruijn, Lena Filatova, Peter H. de With, Fons van der Sommen

Proceedings Volume 12034, 120341V (2022) https://doi.org/10.1117/12.2611143

KEYWORDS: X-rays, X-ray imaging, 3D modeling, Systems modeling, Medical imaging, Computer simulations, Image classification, Machine learning, Machine vision, Image guided radiation therapy, 3D applications

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