Relevance-based Neural Freezing against Catastrophic Forgetting in Neural Network Training


The ability to continuously process and retain new information like we do naturally as humans is a feat that is highly sought after when training neural networks.

Liquid lenses for fast focusing in machine vision. Technical bases


Tunable lenses are conceptionally like a human eye. An elastic polymer membrane covers a reservoir containing an optical liquid.

Liquid lenses for fast focusing in machine vision


The iToBoS project is usually categorized within the field of medical imaging. However, all the technical solutions used or to be developed in the project, from the optics to the artificial intelligence algorithms, are part of the wider field of machine vision.

Invertible Denoising Network: A Light Solution for Real Noise Removal


The task of real-world noise removal is challenging, as the noise model is highly complex. CNNs have lately achieved state-of-the-art denoising performance, but the networks are extremely large and complicated for a better accuracy.

How artificial intelligence can assist in healthcare?


The human resource issue is spreading internationally, and it is apparent that it is not viable to offer care without labor. 

Awareness on sun exposure


UV radiation exposure and fair skin phototype are the most common risk factors for developing cutaneous melanoma in general population.

Diffusion Models


Diffusion Models are a type of likelihood-based models that have recently generated synthetic images of excellent quality.

Understanding DICOM


DICOM stands for Digital Imaging and COmmunications in Medicine: it is an international standard related to the exchange, storage and communication of digital medical images and other related digital data.

New scenarios of the teledermatology


In this article we analyze new scenarios and business cases of teledermatology.

Non-contact dermoscopy for the early detection of skin cancer


iToBoS project was presented through a poster titled “Non-contact dermoscopy for the early detection of skin cancer” in the interdisciplinary workshop Cluster of Excellence PhoenixD.