Integrated membranes within centrifugal microfluidic devices: A review

KC O'Connell, JP Landers - Lab on a Chip, 2023 - pubs.rsc.org
Centrifugal microfluidics has evolved into a sophisticated technology capable of enabling
the exploration of fundamental questions in such fields as protein analysis, environmental …

DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks

M Salvi, F Branciforti, F Veronese, E Zavattaro… - Computer Methods and …, 2022 - Elsevier
Background and objective Dermatological images are typically diagnosed based on visual
analysis of the skin lesion acquired using a dermoscope. However, the final quality of the …

Analysis of biases in automatic white balance datasets and methods

M Buzzelli, S Zini, S Bianco, G Ciocca… - Color Research & …, 2023 - Wiley Online Library
Annotated datasets for automatic white balance (AWB) are used for the evaluation and,
when necessary, the training, of AWB methods. Relying on such datasets requires …

Contrast sensitivity function in deep networks

A Akbarinia, Y Morgenstern, KR Gegenfurtner - Neural Networks, 2023 - Elsevier
The contrast sensitivity function (CSF) is a fundamental signature of the visual system that
has been measured extensively in several species. It is defined by the visibility threshold for …

Divergences in color perception between deep neural networks and humans

EO Nadler, E Darragh-Ford, BS Desikan, C Conaway… - Cognition, 2023 - Elsevier
Deep neural networks (DNNs) are increasingly proposed as models of human vision,
bolstered by their impressive performance on image classification and object recognition …

Contrast sensitivity functions in autoencoders

Q Li, A Gomez-Villa, M Bertalmío, J Malo - Journal of Vision, 2022 - jov.arvojournals.org
Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge
from the enhancement required for a more efficient analysis of retinal images. Here we …

Emergent color categorization in a neural network trained for object recognition

JP de Vries, A Akbarinia, A Flachot, KR Gegenfurtner - Elife, 2022 - elifesciences.org
Color is a prime example of categorical perception, yet it is unclear why and how color
categories emerge. On the one hand, prelinguistic infants and several animals treat color …

Object-based color constancy in a deep neural network

H Heidari-Gorji, KR Gegenfurtner - JOSA A, 2023 - opg.optica.org
Color constancy refers to our capacity to see consistent colors under different illuminations.
In computer vision and image processing, color constancy is often approached by explicit …

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

V Biscione, D Yin, G Malhotra, M Dujmovic… - arXiv preprint arXiv …, 2024 - arxiv.org
Multiple benchmarks have been developed to assess the alignment between deep neural
networks (DNNs) and human vision. In almost all cases these benchmarks are observational …

Color constancy mechanisms in virtual reality environments

RG Rodríguez, L Hedjar, M Toscani… - Journal of …, 2024 - jov.arvojournals.org
Prior research has demonstrated high levels of color constancy in real-world scenarios
featuring single light sources, extensive fields of view, and prolonged adaptation periods …