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snmjournals.org18d
Deep Learning Models for Accelerated Bone SPECT Imaging: Acquisition Time–Specific Noise Reduction and Image Quality Enhancement
Introduction: Total-body bone scintigraphy using bone-avid radiopharmaceuticals ... To address the challenge of prolonged scan times, a deep learning model designed to enhance image quality for ...
IEEE25d
CyberPotholes: Pothole Defect Detection Using Synthetic Depth-Maps
Abstract: Road infrastructure is vital globally but increasingly threatened by pothole defects, due primarily to extreme weather driven by climate change. New technologies like depth imaging cameras ...
Frontiers27d
A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients
To automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofibrosis (MF) patients using deep-learning (DL) U-Net models. Methods: Automated segmentation of bone marrow ...
C&EN28d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...
Frontiers29d
Rapid neuralized and vascularized osteogenesis in infected bone defect using biomimetic biomineralized and antibacterial hydrogels
Infected bone defects represent one of the most prevalent clinical conditions ... Consequently, the promising mineralized and antibacterial imCOL1MA was prepared using 10% COL1MA, 2% CNBIS, and 1% ...
IEEE29d
Cross Domain Few-Shot Line-Level Defect Prediction in Open Software Development via Meta Learning
DEF-Hunter consists of two components: defect identification component and transfer learning component. The defect identification component employs a hierarchical attention network to learn the ...
C&EN29d
Unlocking Enhanced Ionic Transport: A Machine Learning-Driven AIMD Study on Doping, Defects, and Strain in Antiperovskite Solid-State Electrolytes
Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), Northeastern University, Shenyang 110819, China Department of Materials Physics and Chemistry, School of Materials ...