deep learning

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation

Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne (Talk)

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation

Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn, Eline Kooi, Aad van der Lugt, Marleen de Bruijne

Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation

Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn, Eline Kooi, Aad van der Lugt, Marleen de Bruijne (Talk)

Erasmus MC - Ph.D. student

Ph.D. project focused on uncertainty and interpretability of Convolutional Neural Networks, applied to cardiovascular diseases.

Erasmus MC - GPU cluster administration

Part of the administation team of a GPU cluster of 6 nodes (and 8 GPU per nodes). In charge of the module administration and the in-boarding of new members

Bayesian Deep Learning

A 3 month (part-time) master project investigating Bayesian Deep Learning on MNIST dataset.

Erasmus MC - Internship

3-month internship. Participation to two international medical imaging challenges.