Richard Leahy – författare

Literary Illumination examines the relationship between literature and artificial illumination, demonstrating that developments of lighting technology during the nineteenth century definitively altered the treatment of light as symbol, metaphor and textual motif. Correspondingly, the book also engages with the changing nature of darkness, and how the influence of artificial light altered both public perceptions of, and behaviour within, darkness, as well as examining literary chiaroscuros. Within each of four main chapters dedicated to the analysis of a single dominant light source in the long nineteenth-century – firelight, candlelight, gaslight, and electric light – the author considers the phenomenological properties of the light sources, and where their presence would be felt most strongly in the nineteenth century, before collating a corpus of texts for each light source and environment.

Literary Illumination examines the relationship between literature and artificial illumination, demonstrating that developments of lighting technology during the nineteenth century definitively altered the treatment of light as symbol, metaphor and textual motif. Correspondingly, the book also engages with the changing nature of darkness, and how the influence of artificial light altered both public perceptions of, and behaviour within, darkness, as well as examining literary chiaroscuros. Within each of four main chapters dedicated to the analysis of a single dominant light source in the long nineteenth-century – firelight, candlelight, gaslight, and electric light – the author considers the phenomenological properties of the light sources, and where their presence would be felt most strongly in the nineteenth century, before collating a corpus of texts for each light source and environment.

This book constitutes the refereed proceedings of the First International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.

The 13 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.

The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.