Publications associées à Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward

Publications associées (17)

A Human-Centric Approach to Explainable AI for Personalized Education

Deep neural networks form the backbone of artificial intelligence (AI) research, with potential to transform the human experience in areas ranging from autonomous driving to personal assistants, healthcare to education. However, their integration into the ...

EPFL2025

Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers' Perspectives in Western Cameroon

Jean-Philippe Thiran, Klaus Benedikt Schönenberger, Magali Catherine Jonnalagedda-Cattin

Background: Computer-aided detection and diagnosis (CAD) systems can enhance the objectivity of visual inspection with acetic acid (VIA), which is widely used in low- and middle-income countries (LMICs) for cervical cancer detection. VIA's reliance on subj ...

JMIR PUBLICATIONS, INC2025

Regional uniqueness of tree species composition and response to forest loss and climate change

Devis Tuia, Nina Marion Aurélia Van Tiel

The conservation and restoration of forest ecosystems require detailed knowledge of the native plant compositions. Here, we map global forest tree composition and assess the impacts of historical forest cover loss and climate change on trees. The global oc ...

Nature Portfolio2024

AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation

Emmanuel Abbé, Ntorina Thanou, Edward Carlo Giorgio Andò, Ortal Yona Senouf, Thabodhan Mahendiran

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional c ...

Elsevier BV2024

The role of the visual field size in artificial vision

Diego Ghezzi

Objective. Artificial vision has been and still is the subject of intense research. The ultimate goal is to help blind people in their daily life. Approaches to artificial vision, including visual prostheses and optogenetics, have strongly focused on resto ...

IOP Publishing Ltd2023

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

Friedhelm Christoph Hummel, Claudia Bigoni

The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may require the characte ...

Nature Portfolio2023

Damage-augmented digital twins towards the automated inspection of buildings

Katrin Beyer, Radhakrishna Achanta, Bryan German Pantoja Rosero

Current procedures for the rapid inspection of buildings and infrastructure are subjective, time-consuming, and cumbersome to document, necessitating new technologies to automate the process and eliminate these shortcomings. Fortunately, recent development ...

2023

Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence

Marcello Ienca

Artificial intelligence (AI) plays a rapidly increasing role in clinical care. Many of these systems, for instance, deep learning-based applications using multilayered Artificial Neural Nets, exhibit epistemic opacity in the sense that they preclude compre ...

CAMBRIDGE UNIV PRESS2022

Intentional machines: A defence of trust in medical artificial intelligence

Georg Michael Joachim Starke

Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor–patient relationships, trust is therefore regularly suggested as a way of dealing ...

2022

Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development

Jérôme Chenal

With the increase in the amount and variety of data that are constantly produced, collected, and exchanged between systems, the efficiency and accuracy of solutions/services that use data as input may suffer if an inappropriate or inaccurate technique, met ...

MDPI2022

Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine

Georg Michael Joachim Starke

Assistive systems based on Artificial Intelligence (AI) are bound to reshape decision-making in all areas of society. One of the most intricate challenges arising from their implementation in high-stakes environments such as medicine concerns their frequen ...

2022

Espaces protégés forestiers et libre évolution

Rita Bütler Sauvain

The protection of long time unmanaged forests, formally defined for the first time in the Cévennes National Park, is part of the continuum of a long-lasting history of natural space preservation. These forests cover around 41,000 ha in mainland France in 2 ...

2022

Safety Decision-Making for Laboratory Processes in Academia

Thierry Meyer, Anastasia Jung

There is a need for a tool that facilitates safety decision-making in the academic environment. As this environment is very different from that of industry or other public sectors, there is no information available on the factors that influence the decisio ...

2022

Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Thomas Yu, Claudiu-Cristian Musat, Mohammad Saeed Rad, Hazim Kemal Ekenel

Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic image de ...

2021

Data integration for the numerical simulation of cardiac electrophysiology

Alfio Quarteroni, Andrea Manzoni, Luca Dede', Stefano Pagani

The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing thera ...

WILEY2021

Public Strategies for Artificial Intelligence: Which Value Drivers?

Anca-Georgiana Rusu, Gianluigi Viscusi, Marie-Valentine Renée Agnès Florin

We question the values that inform the artificial intelligence (AI) strategies developed by governments and institutions at the global level. In particular, we investigate the connection between governments? and institutions? fundamental values, second-ord ...

IEEE COMPUTER SOC2020

Online Metric Algorithms with Untrusted Predictions

Marek Elias

Machine-learned predictors, although achieving very good results for inputs resembling training data, cannot possibly provide perfect predictions in all situations. Still, decision-making systems that are based on such predictors need not only to benefit f ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2020