A5002617646- Atomic and Subatomic Physics Research
- Non-Invasive Vital Sign Monitoring
- Photonic and Optical Devices
- AI in cancer detection
- Handwritten Text Recognition Techniques
- Digital Imaging for Blood Diseases
- Silicon Nanostructures and Photoluminescence
- Glaucoma and retinal disorders
- Thermal properties of materials
- Hemodynamic Monitoring and Therapy
- Radical Photochemical Reactions
- Medical Imaging Techniques and Applications
- Semiconductor materials and interfaces
- Phenothiazines and Benzothiazines Synthesis and Activities
- Sparse and Compressive Sensing Techniques
- Quantum optics and atomic interactions
- Advanced Fiber Laser Technologies
- Image Retrieval and Classification Techniques
- Advanced MRI Techniques and Applications
- Retinal Imaging and Analysis
- Quantum and electron transport phenomena
- Quinazolinone synthesis and applications
- Mechanical and Optical Resonators
Beihang University
2023-2024
Beijing Institute of Technology
2020
East China University of Technology
2020
Abstract Single‐beam atomic magnetometers herald a new era of high‐precision magnetic field sensing, with applications spanning fundamental physics to biomagnetism. Nevertheless, their utility is often curtailed by quantum sensor noise, encompassing both technical and quantum‐mechanical noise. This research delves into the potential Kalman filter as tool subdue thereby augmenting sensitivity single‐beam magnetometers. Quantum‐mechanical noise integrated system model process measurement...
Abstract In this study, we address the challenge of analyzing spatial spin distribution based on nonlinear Bloch equations in atomic magnetometry through use physics-informed neural networks (PINNs). Atomic plays a crucial role field biomagnetism, where it is used to detect weak magnetic fields produced by human brain, heart, and other organs. The describe polarization clusters an external field, but their nonlinearity can make analysis domain difficult. By utilizing PINNs, provide numerical...
Retinal vessel structure is an unique individual characteristic and important biology marker of many diseases, like Diabetic Retinopathy (DR), cardiovascular ailment, so on. Automatic retinal segmentation can be used to assist the early diagnosis above but suffers from poor quality low contrast fundus images. To eliminate noise in images, pre-process pipelines are designed normalize enhance However, specific operations images haven't been distinguished normalization natural This paper...
The fringe noises disrupt the precise measurement of atom distribution in process absorption images. removal algorithms have been proposed to reconstruct ideal reference images remove noises. However, focus these is association performance with physical systems, leaving gap analyze workflows different algorithms. This survey reviews and classifies them into two categories: image-decomposition based methods deep-learning methods. Then this draws workflow details classical algorithms, conducts...