Coen de Vente

Orcid: 0000-0001-5908-8367

According to our database1, Coen de Vente authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.
IEEE Trans. Medical Imaging, January, 2024

Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography.
Medical Image Anal., 2024

Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.
CoRR, 2023

2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
IEEE Trans. Artif. Intell., 2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.
CoRR, 2022

2021
Rotterdam EyePACS AIROGS train set - Part 2/2.
Dataset, December, 2021

Rotterdam EyePACS AIROGS train set - Part 1/2.
Dataset, December, 2021

Rotterdam EyePACS AIROGS train set.
Dataset, December, 2021

Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI.
IEEE Trans. Biomed. Eng., 2021

2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study.
CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

2018
Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018


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