A5100753807- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- CAR-T cell therapy research
- Radiomics and Machine Learning in Medical Imaging
- Image and Signal Denoising Methods
- Medical Imaging Techniques and Applications
- NMR spectroscopy and applications
- Seismic Imaging and Inversion Techniques
- Perovskite Materials and Applications
- Biochemical effects in animals
- Medical Image Segmentation Techniques
- Protein Hydrolysis and Bioactive Peptides
- Virus-based gene therapy research
- Advanced Image Processing Techniques
- Autophagy in Disease and Therapy
- Proteins in Food Systems
- Food composition and properties
- Chalcogenide Semiconductor Thin Films
- Marine and coastal ecosystems
- Hydrological Forecasting Using AI
- Big Data Technologies and Applications
- Technology and Data Analysis
- Korean Urban and Social Studies
- Invertebrate Immune Response Mechanisms
University of Oxford
2023-2025
Peking University
2016-2025
Peking University Cancer Hospital
2016-2025
Suzhou University of Science and Technology
2024-2025
Kunming Medical University
2025
Wellcome Centre for Integrative Neuroimaging
2023-2024
University of Pennsylvania
2024
Northeast Agricultural University
2023-2024
North China University of Water Resources and Electric Power
2024
Hebei University of Technology
2024
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, noise diffusion-weighted images (DWIs) decreases accuracy precision DTI derived microstructural parameters leads to prolonged acquisition time achieving improved signal-to-noise ratio (SNR). Deep learning-based image denoising using convolutional neural networks (CNNs) has superior performance but often requires...
Abstract Tumor-specific T cells are crucial in anti-tumor immunity and act as targets for cancer immunotherapies. However, these numerically scarce functionally exhausted the tumor microenvironment (TME), leading to inefficacious immunotherapies most patients with cancer. By contrast, emerging evidence suggested that tumor-irrelevant bystander (T BYS ) abundant preserve functional memory properties TME. To leverage TME eliminate cells, we engineered oncolytic virus (OV) encoding epitopes...
3D multi-slab acquisitions are an appealing approach for diffusion MRI because they compatible with the imaging regime delivering optimal SNR efficiency. In conventional imaging, shot-to-shot phase variations caused by motion pose challenges due to use of multi-shot k-space acquisition. Navigator acquisition after each echo is typically employed correct variations, which prolongs scan time and increases specific absorption rate (SAR). The aim this study develop a highly efficient,...
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain microstructure and structural connections. The analysis diffusion data often requires segmentation, including volumetric segmentation cerebral cortical surfaces, from additional high-resolution T
Abstract Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non‐invasively in the vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. Nonetheless, accurate estimation of model parameters computationally expensive impeded by image noise. Supervised deep learning‐based approaches exhibit efficiency superior performance but require additional training data may be not...
Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. In China, its 5-year survival rate roughly 50%, owing to acquired chemotherapeutic resistance and metastasis disease. Accumulating evidence demonstrates that aspirin (ASA) acts as a preventive or therapeutic agent in multiple cancers; however, anti-tumor activities induced by are unclear OSCC. To investigate possible role OSCC development, we first employed bioinformatics analyze anti-OSCC effects aspirin. We...
Short-range association fibers located in the superficial white matter play an important role mediating higher-order cognitive function humans. Detailed morphological characterization of short-range at microscopic level promises to yield insights into axonal features driving cortico-cortical connectivity human brain yet has been difficult achieve date due challenges imaging nanometer-scale resolution over large tissue volumes. This work presents results from multi-beam scanning electron...
Next-generation multi-specific antibody therapeutics (MSATs) are engineered to combine several functional activities into one molecule provide higher efficacy compared conventional, mono-specific therapeutics. However, highly MSATs frequently display poor yields and less favorable drug-like properties (DLPs), which can adversely affect their development. Systematic screening of a large panel MSAT variants in very high throughput (HT) is thus critical identify potent candidates with good...
The live migration technology of virtual machine is very helpful for dynamic workload balance, server consolidation and fault tolerance in cloud computing environment. It important to build strategies which lead low time, thus helping reduce cost while achieving goal. So we look into the topic building a model quantitatively predict time. We thoroughly analyze key parameters that affect time construct based on KVM. evaluation shows average prediction accuracy above 90% comparison with...
The goal of this study is to leverage an advanced fast imaging technique, wave-controlled aliasing in parallel (Wave-CAIPI), and a generative adversarial network (GAN) for denoising achieve accelerated high-quality high-signal-to-noise-ratio (SNR) volumetric magnetic resonance (MRI).Three-dimensional (3D) T2 -weighted fluid-attenuated inversion recovery (FLAIR) image data were acquired on 33 multiple sclerosis (MS) patients using prototype Wave-CAIPI sequence (acceleration factor R = 3 × 2,...
Abstract Purpose Multi‐shot diffusion‐weighted EPI allows an increase in image resolution and reduced geometric distortions can be combined with chemical‐shift encoding (Dixon) to separate water/fat signals. However, such approaches suffer from physiological motion‐induced shot‐to‐shot phase variations. In this work, a structured low‐rank‐based navigator‐free algorithm is proposed address the challenge of simultaneously separating signals correcting for variations multi‐shot EPI‐based MRI....
Purpose To develop a new method for high‐fidelity, high‐resolution 3D multi‐slab diffusion MRI with minimal distortion and boundary slice aliasing. Methods Our modifies imaging to integrate blip‐reversed acquisitions correction oversampling in the direction (k z ) reducing aim is achieve robust acceleration keep scan time same as conventional acquisitions, which data are acquired single of blip traversal without k ‐oversampling. We employ two‐stage reconstruction. In first stage,...
Accurate identification of potential drug-target pairs is a crucial step in drug development and repositioning, which characterized by the ability to bind modulate activity target molecule, resulting desired therapeutic effect. As machine learning deep technologies advance, an increasing number models are being engaged for prediction interactions. However, there still great challenge improve accuracy efficiency predicting. In this study, we proposed method called Multi-source Information...
Several strategies and approaches have been reported for improving the resilience optoelectronic properties of perovskite films. However, fabricating a desirable stable absorber layer is still great challenge due to fabrication limitations materials. Here, we introduce diethylammonium bromide (DABr) as post-treatment material pre-deposited methylammonium lead iodide (MAPbI3) film fabricate high-quality two-dimensional/three-dimensional (2D/3D) stacked hetero-structure film. The method DABr...