6 citations · 9 across the 4 of their papers we have counts for
4 papers
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala, Marco Aversa, Gabriel Nobis +10
Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. Howeve…
Artifacts in optical projection tomography due to refractive index mismatch: model and correction
Yan Liu, Jonathan Dong, Cédric Schmidt +3
Optical Projection Tomography (OPT) is a powerful tool for 3D imaging of mesoscopic samples, thus of great importance to image whole organs for the study of various disease models…
Quantifying the effect of image compression on supervised learning applications in optical microscopy
Enrico Pomarico, Cédric Schmidt, Florian Chays +11
The impressive growth of data throughput in optical microscopy has triggered a widespread use of supervised learning (SL) models running on compressed image datasets for efficient…
Visible spectrum extended-focus optical coherence microscopy for label-free sub-cellular tomography
Paul J. Marchand, Arno Bouwens, Daniel Szlag +6
We present a novel extended-focus optical coherence microscope (OCM) attaining 0.7 μm axial and 0.4 μm lateral resolution maintained over a depth of 40 μm, while preserving the adv…