Perspectives for Generative AI at MPNE Consensus on Data Workshop

Berlin, 1/02/2024.

Presentation of the perspectives of generative Artificial Intelligence in melanoma at the MPNEconsensus 2024 by the iToBoS partner Leibniz University Hannover.

Transformers in Dermoscopic Image Classification

Dermoscopy is a powerful method used in dermatology to analyze the features of skin lesions.

Semi-Supervised Learning

Semi-supervised learning is a type of machine learning paradigm that falls between supervised and unsupervised learning.

Assessing and Implementing Trustworthy AI Across Multiple Dimensions

Artificial intelligence (AI) systems have become more and more prevalent in everyday life and especially in enterprise settings.

Melanoma Education with Generative AI in Dermatology

As artificial intelligence (AI) rapidly advances, its integration into dermatology, particularly through Generative Adversarial Networks (GANs), is opening new horizons in patient education and skin cancer diagnosis.

European Commission and WHO/Europe form partnership agreement for Data Sharing and Governance

The iToBoS project has previously written on the emergence of policy initiatives, regulatory frameworks and legislative proposals concerning a European Health Data Space [1].

Meta-Transformer

Multimodal learning is the challenging task of using data from various modalities to improve the capacity of one model.

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Realistic image super-resolution is the task of creating an image with perceptually realistic details from a lower quality image.

SAM: Segment Anything Model by Meta AI

Segment Anything (SA) project tackles the three main questions for the arduous job of segmentation: