Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
Sign Up to like & getrecommendations! Published in 2019 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2019.5600
Abstract: Key Points Question How does augmentation with a deep learning segmentation model influence the performance of clinicians in identifying intracranial aneurysms from computed tomographic angiography examinations? Findings In this diagnostic study of intracranial aneurysms, a… read more here.
Keywords: learning; intracranial aneurysms; deep learning; assisted diagnosis ... See more keywords
Machine‐Learning Assisted Electronic Skins Capable of Proprioception and Exteroception in Soft Robotics
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Materials"
DOI: 10.1002/adma.202211385
Abstract: Inspired by natural biological systems, soft robots have recently been developed, showing tremendous potential in real‐world applications because of their intrinsic softness and deformability. The confluence of electronic skins and machine learning is extensively studied… read more here.
Keywords: robotics; electronic skins; learning assisted; machine learning ... See more keywords
Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Science"
DOI: 10.1002/advs.202101099
Abstract: Abstract Atomic dopants and defects play a crucial role in creating new functionalities in 2D transition metal dichalcogenides (2D TMDs). Therefore, atomic‐scale identification and their quantification warrant precise engineering that widens their application to many… read more here.
Keywords: deep learning; dopants defects; atomic dopants; quantification ... See more keywords
Developing diagnostic skills from preclinical dental education: Caries detection and assessment using e-learning assisted practice.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of dental education"
DOI: 10.1002/jdd.12936
Abstract: PURPOSE To evaluate the feasibility of developing visual diagnostic skills for detecting and assessing dental caries using e-learning assisted practice in preclinical dental education. METHODS A one-group before and after the study was conducted. After… read more here.
Keywords: dental education; diagnostic skills; practice; accuracy ... See more keywords
Machine Learning-Assisted High-Throughput SERS Classification of Cell Secretomes.
Sign Up to like & getrecommendations! Published in 2023 at "Small"
DOI: 10.1002/smll.202207658
Abstract: During the response to different stress conditions, damaged cells react in multiple ways, including the release of a diverse cocktail of metabolites. Moreover, secretomes from dying cells can contribute to the effectiveness of anticancer therapies… read more here.
Keywords: learning assisted; high throughput; machine learning; assisted high ... See more keywords
Reinforcement Learning-Assisted Composite Adaptive Control for Time-Varying Parameters
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2428
Abstract: Abstract Adaptive control methods have received a lot of interest to control uncertain systems with parametric uncertainties. In particular, composite adaptation law that incorporates a memory storing the past trajectory data is promising, because it… read more here.
Keywords: time; control; reinforcement learning; composite adaptive ... See more keywords
Deep learning assisted portable IR active imaging sensor spots and identifies live humans through fire
Sign Up to like & getrecommendations! Published in 2020 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2019.105818
Abstract: Abstract Achieving clear imaging through fire is a highly pursued goal and various active field-portable devices have been recently proposed to improve the capabilities of existing thermographic cameras. Here we combine an Infrared active imaging… read more here.
Keywords: imaging sensor; learning assisted; deep learning; active imaging ... See more keywords
Machine Learning-Assisted Pattern Recognition of Amyloid Beta Aggregates with Fluorescent Conjugated Polymers and Graphite Oxide Electrostatic Complexes.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.1c03623
Abstract: Five fluorescent positively charged poly(para-aryleneethynylene) (P1-P5) were designed to construct electrostatic complexes C1-C5 with negatively charged graphene oxide (GO). The fluorescence of conjugated polymers was quenched by the quencher GO. Three electrostatic complexes were enough… read more here.
Keywords: assisted pattern; learning assisted; machine learning; electrostatic complexes ... See more keywords
Explainable Deep-Learning-Assisted Sweat Assessment via a Programmable Colorimetric Chip.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c03927
Abstract: Multianalytes and individual differences of biofluids (such as blood, urine, or sweat) pose enormous complexity and challenges to rapid, facile, high-throughput, and accurate clinical analysis or health assessment. Deep-learning (DL)-assisted image analysis has been demonstrated… read more here.
Keywords: programmable colorimetric; learning assisted; colorimetric chip; deep learning ... See more keywords
Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples
Sign Up to like & getrecommendations! Published in 2022 at "Environmental Science & Technology"
DOI: 10.1021/acs.est.2c02027
Abstract: Laboratory studies of the disposition and toxicity of hydroxylated polychlorinated biphenyl (OH-PCB) metabolites are challenging because authentic analytical standards for most unknown OH-PCBs are not available. To assist with the characterization of these OH-PCBs (as… read more here.
Keywords: meo pcbs; learning assisted; machine learning; assisted identification ... See more keywords
Machine-Learning-Assisted Catalytic Performance Predictions of Single-Atom Alloys for Acetylene Semihydrogenation.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c02317
Abstract: Selective semihydrogenation of acetylene for the production of polymer-grade ethylene is a significant chemical industrial process. Facile activization of acetylene and weak adsorption of ethylene are critical requirements for high-performance catalysis. Single-atom alloys (SAAs) have… read more here.
Keywords: acetylene semihydrogenation; atom alloys; single atom; learning assisted ... See more keywords