Results 101 to 110 of about 4,517,874 (378)
Working Memory Connections for LSTM [PDF]
Neural Networks, 2021 Federico Landi +3 more
semanticscholar +1 more source
Thalamic projections sustain prefrontal activity during working memory maintenance
Nature Neuroscience, 2017 The mediodorsal thalamus (MD) shares reciprocal connectivity with the prefrontal cortex (PFC), and decreased MD–PFC connectivity is observed in schizophrenia patients.
S. Bolkan +8 more
semanticscholar +1 more source
Fast Weight Long Short-Term Memory [PDF]
arXiv, 2018 Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs.
arxiv
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.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
Long-term memory guides resource allocation in working memory
Scientific Reports, 2020 Working memory capacity is incredibly limited and thus it is important to use this resource wisely. Prior knowledge in long-term memory can aid in efficient encoding of information by allowing for the prioritization of novel stimuli over familiar ones ...
Allison L. Bruning +1 more
doaj +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler +4 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien +8 more
wiley +1 more source
A Python package for fast GPU‐based proton pencil beam dose calculation
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya +4 more
wiley +1 more source
Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang +13 more
wiley +1 more source
Fluctuations of Attention and Working Memory
Journal of Cognition, 2019 Attention and working memory are intricately related, yet there remain ambiguities in how to best characterize this relationship. In his review, Oberauer formalizes several dimensions for the relationship between attention and working memory, focusing ...
Kirsten C.S. Adam +1 more
doaj +1 more source