- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Pneumonia and Respiratory Infections
- Microbial infections and disease research
- AI in cancer detection
- COVID-19 diagnosis using AI
- Medical Image Segmentation Techniques
- Respiratory viral infections research
- Advanced Neural Network Applications
- Graphene and Nanomaterials Applications
- Radiomics and Machine Learning in Medical Imaging
- Ion Channels and Receptors
- Lung Cancer Diagnosis and Treatment
- Eurasian Exchange Networks
- Digital Imaging for Blood Diseases
- Wound Healing and Treatments
- Optimal Experimental Design Methods
- Remote Sensing and LiDAR Applications
- Cannabis and Cannabinoid Research
- Water Quality Monitoring Technologies
- Phytochemicals and Antioxidant Activities
- Advanced Multi-Objective Optimization Algorithms
- Advanced Sensor and Energy Harvesting Materials
- Autophagy in Disease and Therapy
Nanjing University of Posts and Telecommunications
2025
State Ethnic Affairs Commission
2022-2024
North Minzu University
2022-2024
Van Andel Institute
2024
Tsinghua University
2018-2023
Istanbul Technical University
2021
Sultan Idris Education University
2020
Fudan University
2009-2010
Huashan Hospital
2009-2010
Abstract Temperature profoundly affects macromolecular function, particularly in proteins with temperature sensitivity 1,2 . However, its impact is often overlooked biophysical studies that are typically performed at non-physiological temperatures, potentially leading to inaccurate mechanistic and pharmacological insights. Here we demonstrate temperature-dependent changes the structure function of TRPM4, a temperature-sensitive Ca 2+ -activated ion channel 3–7 By studying TRPM4 prepared...
Fifty-three Mycoplasma pneumoniae strains were isolated from pediatric patients in Shanghai, China, October 2005 to February 2008. Of 53 clinical isolates, 44 (83%) resistant erythromycin (MICs of >128 microg/ml for all strains), azithromycin, and clarithromycin. All macrolide-resistant M. harbored an A-to-G transition mutation at position 2063 23S rRNA genes. Forty-five (85%) isolates classified into the P1 gene restriction fragment length polymorphism type I, six (11%) II.
Gaussian process (GP)-based robust optimization is an effective tool in product quality improvement. However, most existing variable selection methods are designed for parametric models and unsuitable nonparametric GP models. Additionally, improving the prediction accuracy of with limited design points remains a significant challenge optimization. To address these issues, this article proposes GP-based multi-stage parameter method that integrates symmetry modeling, sensitivity analysis (SA),...
Purpose Single‐shot (SS) EPI is widely used for clinical DWI. This study aims to develop an end‐to‐end deep learning–based method with a novel loss function in improved network structure simultaneously increase the resolution and correct distortions SS‐EPI Theory Methods Point‐spread‐function (PSF)–encoded can provide high‐resolution, distortion‐free DWI images. A distorted image from be described as convolution between PSF image. The deconvolution process recover achieved neural network,...
COVID-19 is the most widespread infectious disease in world. There an incubation period early stage of infection. At present, there are some difficulties diagnosis COVID-19. Medical image analysis based on computed tomography (CT) images important tool for clinical diagnosis. However, lesion size smaller, and shape more complex. The effect aided model not good. To solve this problem, diagnostic COVID-ResNet was proposed CT images. Firstly, improved attention ResNet designed to focus focal...
Protein nanocapsules have exhibited promising potential applications in the field of protein drug delivery. A major issue with various nano-sized biotherapeutics including is that owing to their particle size they are subject cellular uptake via endocytosis, and become entrapped then degraded within endolysosomes, which can significantly impair therapeutic efficacy. In addition, many could be also sequestered by autophagosomes through autolysosomal pathway. Thus, a limiting step achieving an...
Purpose This study aims to propose a novel algorithm for slab boundary artifact correction in both single‐band multislab imaging and simultaneous (SMSlab) imaging. Theory Methods In image domain, the formation of artifacts can be regarded as modulating artifact‐free images using profiles introducing aliasing along slice direction. Slab is inverse problem this process. An iterative based on convolutional neural networks (CNNs) proposed solve problem, termed CNN‐enabled inversion profile...
Diffusion-weighted MRI suffers from relatively long acquisition time, especially for high spatial- resolution and/or angular- acquisitions. Thus, methods to increase the speed are urgently needed. Recently, increasing attention has been paid utilize relations between k- and q-space points further acceleration. Here, we extend Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER) leverage shared information in multi-shell acquisitions incorporate eddy-induced...
Different multi-shot spiral sampling schemes have been developed for high-resolution DWI. However, the performances of these strategies such as variable-density (VDS), dual-density (DDS) and uniform-density (UDS) not compared comprehensively. In this study, we compare UDS, VDS DDS in brain DWI terms inter-shot phase error correction, overall image quality SNR performance. Both theoretical analysis in-vivo results demonstrate that UDS exhibits best off-resonance performance among three...
Single-shot spiral acquisitions allow shorter TE, thus provide higher SNR compared to EPI for DWI. However, are sensitive field inhomogeneity. Parallel imaging techniques can be used alleviate static B0 off-resonance effects. In this study, single-shot with a large acceleration factor of 5 or 6 were achieve sub-millimeter diffusion tensor at 3T. The in vivo results demonstrate that the sampling strategy adopted whole-brain an in-plane resolution 0.77×0.77mm2.
Multi-modal medical images are important in tumor lesion detection. However, the existing detection models only use single-modal to detect lesions, a multi-modal semantic correlation is not enough consider and lacks ability express shape, size, contrast degree features of lesions. A Cross Modal YOLOv5 model (CMYOLOv5) proposed. Firstly, there two networks, auxiliary network consisted by dual-branch structure extract information from PET CT, backbone PET/CT. Secondly, Cross-modal Features...
The present study intends to find a proper solution for the estimation of physical behaviors enlarged piles through combination small-scale laboratory tests and hybrid computational predictive intelligence process. In first step, experimental program is completed considering various critical influential factors. results best multilayer perceptron (MLP)-based network was implemented three mathematical-based solutions dragonfly algorithm (DA), whale optimization (WOA), ant lion (ALO). Three...
Purpose To compare the performances of uniform‐density spiral (UDS), variable‐density (VDS), and dual‐density (DDS) samplings in multi‐shot diffusion imaging, determine a sampling strategy that balances reliability shot navigator overall DWI image quality. Theory Methods UDS, VDS, DDS trajectories were implemented to achieve four‐shot diffusion‐weighted imaging. First, static B0 off‐resonance effects acquisitions analyzed based on signal model. Then, vivo experiments performed verify...
Abstract Single-shot echo planer imaging (SS-EPI) is widely used for clinical Diffusion-weighted magnetic resonance (DWI) acquisitions. However, due to the limited bandwidth along phase encoding direction, obtained images suffer from distortion and blurring, which limits its value diagnosis. Here we proposed a deep learning-based image-quality-transfer method with novel loss function improved network structure simultaneously increase resolution correct distortions SS-EPI. We modified based...
The myth of a nation reflects the collective memory and is source philosophy, religion, literature nation. Since 1930s, mythological research has gradually emerged in China, but there are few comparative studies on Chinese Arab mythology. Comparative study between Arabic: Phoenix as an example terms social values national traits. This article based specific exploration mythical image Phoenix. records world for phoenix derived from some ancient Arabic books this mythology starts with basic...
Owing to hardware advancements, a resurgence of interest has emerged in low field MRI systems recently. However, the intrinsic signal noise ratio (SNR) due magnetic strength hindered acquisition high-resolution images on systems. Here we propose non-local robust PCA-based method jointly denoise multi-contrast acquired 0.5 T system. In-vivo brain data are used test proposed method. The results show that outperforms BM3D and BM4D denoising methods.
Objective To develop a method for rapid detection of Mycoplasma pneumoniae and its macrolide resistance mutation. Methods The primers cycling probe sets were designed to detect two single nucleotide mutation, A2063G A2064G, in the 23s rRNA gene pneumoniae. By using recombinant plasmids containing fragments, 102 clinical isolates from 2005 2008, 136 nasopharyngeal suction specimens pediatric patients with low respiratory tract infections Shanghai Children's Hospital November December 2009...