Results 101 to 110 of about 1,040,675 (320)
D-Sempre: Learning Deep Semantic-Preserving Embeddings for User interests-Social Contents Modeling [PDF]
Exponential growth of social media consumption demands effective user interests-social contents modeling for more personalized recommendation and social media summarization. However, due to the heterogeneous nature of social contents, traditional approaches lack the ability of capturing the hidden semantic correlations across these multi-modal data ...
arxiv
Theory In, Theory Out: The uses of social theory in machine learning for social science [PDF]
Research at the intersection of machine learning and the social sciences has provided critical new insights into social behavior. At the same time, a variety of critiques have been raised ranging from technical issues with the data used and features constructed, problematic assumptions built into models, their limited interpretability, and their ...
arxiv
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen+11 more
wiley +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola+5 more
wiley +1 more source
Rapid developments in contemporary societies not only ask for lifelong learning but increasingly also for training in generic competencies suitable for multiple contexts and life stages.
Laurent Testers+3 more
doaj +1 more source
The paper presents results of research conducted under the support of the IGA LDF MENDELU project, id. No. 32/2010 (Anthropometry in Disabled Children in Relation to Furniture) and the NIS MPO ČR FR-TI1/050 project (Information System for the Support of ...
Martin Zach, Pavel Vyleťal
doaj +1 more source
Methods for working with problem residents in medical physics residency education
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley +1 more source
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising+11 more
wiley +1 more source
The need for high-quality pre-service and inservice teacher training in social and emotional learning [PDF]
Dana Murano+5 more
doaj +1 more source