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Over ons Praktische zaken Waar vindt u ons B.C. Nagam

Publicaties

Automating the detection of strong gravitational lenses in large-scale surveys using deep learning

Automation of finding strong gravitational lenses in the Kilo Degree Survey with U-DenseLens (DenseLens + Segmentation)

Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks

Automation of finding strong gravitational lenses in the Kilo Degree Survey with U – DenseLens (DenseLens + Segmentation)

Euclid: The Early Release Observations Lens Search Experiment

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

Euclid. I. Overview of the Euclid mission

MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble

Object classification with Convolutional Neural Networks: from KiDS to Euclid

DenseLens -- Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses,