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PharmacoForge: pharmacophore generation with diffusion models [PDF]
Frontiers in BioinformaticsStructure-based drug design (SBDD) is enhanced by machine learning (ML) to improve both virtual screening and de novo design. Despite advances in ML tools for both strategies, screening remains bounded by time and computational cost, while generative ...
Emma L. Flynn +7 more
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Exploring the relationship between visual inspection time task and intelligence in young children
Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας, 2023 Inspection time task (IT) indexes individual differences in perceptual discrimination speed and it is a reliable predictor of psychometric intelligence However, the reasons underlying the relationship between IT and intelligence are not clear, because ...
Γεώργιος Σπανούδης +1 more
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Generation of Musculoskeletal Ultrasound Images with Diffusion Models
BioMedInformatics, 2023 The recent advances in deep learning have revolutionised computer-aided diagnosis in medical imaging. However, deep learning approaches to unveil their full potential require significant amounts of data, which can be a challenging task in some scientific
Sofoklis Katakis +6 more
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Cellular automata multi-component diffusion models [PDF]
Computer Methods in Materials Science, 2009 The paper presents a survey of developed multi-component diffusion models. Stochastic and continuous PDE models for multi-component diffusion problems are studied by performing a sequence of numerical simulations.
Anna Paszyńska +3 more
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A Multi-Scale Deep Back-Projection Backbone for Face Super-Resolution with Diffusion Models
Applied Sciences, 2023 Face verification and recognition are important tasks that have made great progress in recent years. However, recognizing low-resolution faces from small images is still a difficult problem.
Juhao Gao, Ni Tang, Dongxiao Zhang
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IEEE Access, 2023 Currently, medical image domain translation operations show a high demand from researchers and clinicians. Amongst other capabilities, this task allows the generation of new medical images with sufficiently high image quality, making them clinically ...
Cristiana Tiago +3 more
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Sensors, 2023 Non-intrusive Load Monitoring (NILM) is a critical technology that enables detailed analysis of household energy consumption without requiring individual metering of every appliance, and has the capability to provide valuable insights into energy usage ...
Ruichen Sun, Kun Dong, Jianfeng Zhao
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Deep Learning‐Assisted Design of Novel Promoters in Escherichia coli
Advanced Genetics, 2023 Deep learning (DL) approaches have the ability to accurately recognize promoter regions and predict their strength. Here, the potential for controllably designing active Escherichia coli promoter is explored by combining multiple deep learning models ...
Xinglong Wang +5 more
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Evaluation of the Impact of b-Value Ranges on Six Body Diffusion Models in Prostate Application
Chinese Journal of Magnetic ResonanceThis paper investigated the impact of different b-value acquisition ranges (from 0 to 2 500 s/mm2) on the quantitative parameter calculation of six body diffusion models, including mono-exponential (Mono), diffusion kurtosis imaging (DKI), intravoxel ...
ZHOU Minxiong +11 more
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Dynamical regimes of diffusion models
Nature CommunicationsWe study generative diffusion models in the regime where both the data dimension and the sample size are large, and the score function is trained optimally.
Giulio Biroli +3 more
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