Search Results for author: Christopher R. Madan

Found 5 papers, 1 papers with code

AI and Non AI Assessments for Dementia

no code implementations30 Jun 2023 Mahboobeh, Parsapoor, Hamed Ghodrati, Vincenzo Dentamaro, Christopher R. Madan, Ioulietta Lazarou, Spiros Nikolopoulos, Ioannis Kompatsiaris

Thus, this paper, which can be readable by both clinicians and AI engineers, fills the gap in the literature in explaining the existing solutions for the recognition of dementia to clinicians, as well as the techniques used and the most widespread dementia datasets to AI engineers.

Artificial Intelligence for Dementia Research Methods Optimization

no code implementations2 Mar 2023 Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke, Amir Dehsarvi, Christopher R. Madan, Sarah J. Marzi, Cameron Shand, Brian M. Schilder, Stefano Tamburin, Hanz M. Tantiangco, Ilianna Lourida, David J. Llewellyn, Janice M. Ranson

Introduction: Machine learning (ML) has been extremely successful in identifying key features from high-dimensional datasets and executing complicated tasks with human expert levels of accuracy or greater.

Multi-Task Learning

A Survey of Crowdsourcing in Medical Image Analysis

no code implementations25 Feb 2019 Silas Ørting, Andrew Doyle, Arno van Hilten, Matthias Hirth, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina

Despite the growing popularity of this approach, there has not yet been a comprehensive literature review to provide guidance to researchers considering using crowdsourcing methodologies in their own medical imaging analysis.

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