Abstract
Image inpainting is a crucial technique in computer vision, particularly for reconstructing corrupted images. In medical imaging, it addresses issues from instrumental errors, artifacts, or human factors. The development of deep learning techniques has revolutionized image inpainting, allowing for the generation of high-level semantic information to ensure structural and textural consistency in restored images. This article presents a comprehensive review of 53 studies on deep image inpainting in medical imaging, analyzing its evolution, impact, and limitations. The findings highlight the significance of deep image inpainting in artifact removal and enhancing the performance of multi-task approaches by localizing and inpainting regions of interest. Furthermore, the study identifies magnetic resonance imaging and computed tomography as the predominant modalities and highlights generative adversarial networks and U-Net as preferred architectures. Future research directions include the development of blind inpainting techniques, the exploration of techniques suitable for 3D/4D images, multiple artifacts, and multi-task applications, and the improvement of architectures.

Abstract

Abstract
The purpose of this study was to explore the influence of brand coolness on the intention to acquire NFTs within the luxury fashion market. To achieve this purpose, we developed a conceptual model offering a broader perspective regarding consumers' purchase intention of luxury brands' NFTs by including both emotional aspects related to the brand (brand love) and perceptions predominantly related to the financial nature of the investment (perceived risk). Word-of-mouth (WOM) and willingness to pay (WTP) are also analyzed as outcomes of brand coolness. The model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the proposed relationships. The findings show that brand coolness positively impacts brand love, WOM, and WTP. Although it was not possible to observe a significant relationship between brand coolness and consumers' purchase intention of luxury brands' NFTs, it has significant indirect effects through brand love. Guided by the unexpected findings of the quantitative study, this article also includes a follow-up qualitative study, whose main aim was to further explore the influence of brand coolness on the intention to acquire NFTs within the luxury fashion market. Participants were individuals with relevant knowledge and experience with NFTs. The qualitative study revealed that brand coolness alone is insufficient to drive NFT purchases, while brand love, tied to trust and symbolic value, plays a stronger role, helping explain the quantitative results. Overall, this study contributes to the literature by shedding light on the complex interplay between brand coolness, consumer behavior, and NFTs in the luxury fashion context.

Abstract
The main aim of this chapter is to study the digital touchpoints influencing customers' decisions in the five-star hospitality industry. This chapter adopted a qualitative methodology in the form of semi-structured interviews. The findings suggest the preeminent role of online travel agencies and hotel websites as the two most powerful touchpoints influencing the decision-making of the customer and serving as the principal means of making the reservation at the hotel. It also stresses the growing influence of customer-owned touchpoints, particularly user-generated content, in influencing customer perception. This research emphasizes the significance of personalized engagement in influencing customer satisfaction and loyalty. Overall, the study presents practical managerial implications for hoteliers, offering insights on how to effectively interact with customers at each stage of their journey, thereby enhancing both service delivery and overall guest experience. © 2025, IGI Global Scientific Publishing. All rights reserved.

Abstract
The main aim of this chapter is to explore the role of social media in the internationalization of business-to-business (B2B) companies, addressing a remaining gap in the literature. It includes a qualitative study, where data from semi-structured interviews was subject to thematic content analysis. The study found that social media acts as a facilitator of internationalization in the B2B setting. While social media alone does not determine the success of internationalization efforts, it has become an essential tool for firms seeking to engage with global markets and maintain a competitive edge. The study provides relevant insights for managers, recommending that businesses should track social media performance to understand its impact on internationalization efforts and adjust strategies accordingly. © 2025 Elsevier B.V., All rights reserved.

Abstract