A5101749194- Medical Imaging Techniques and Applications
- Rheumatoid Arthritis Research and Therapies
- Radiomics and Machine Learning in Medical Imaging
- Hearing, Cochlea, Tinnitus, Genetics
- Vestibular and auditory disorders
- Systemic Lupus Erythematosus Research
- Advanced Chemical Sensor Technologies
- Optical Imaging and Spectroscopy Techniques
- Medical Imaging and Analysis
- AI in cancer detection
- Musculoskeletal synovial abnormalities and treatments
- 3D Surveying and Cultural Heritage
- Hearing Loss and Rehabilitation
- Chaos-based Image/Signal Encryption
- Medical Image Segmentation Techniques
- Advanced Battery Technologies Research
- Advanced Neural Network Applications
- Image Processing and 3D Reconstruction
- Blood Pressure and Hypertension Studies
- Urban Transport and Accessibility
- Advancements in Battery Materials
- 3D Shape Modeling and Analysis
- Cardiovascular Disease and Adiposity
- Sinusitis and nasal conditions
- Orthopedic Infections and Treatments
Hebei University of Technology
2024
Hokkaido University
2023-2024
Sun Yat-sen University
2024
Nanjing Normal University
2023
Northwest University
2022
State Administration of Cultural Heritage
2022
Chang'an University
2022
Dalian Medical University
2015-2019
First Affiliated Hospital of Dalian Medical University
2015-2019
South China University of Technology
2019
Purpose: This study aimed to compare the performance of radiomics and deep learning in predicting EGFR mutation status patients with lung cancer based on PET/CT images, tried explore a model excellent prediction accurately predict non-small cell (NSCLC). Method: images 194 NSCLC from Xijing Hospital were collected divided into training set validation according ratio 7:3. Statistics made patients’ clinical characteristics, large number features extracted their (4306 2048 per person)...
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and progressive structural damage. Joint space width (JSW) critical indicator in conventional radiography for evaluating progression, which has become prominent research topic computer-aided diagnostic (CAD) systems. However, deep learning-based radiological CAD systems JSW analysis face significant challenges data quality, including imbalance, limited variety, annotation difficulties. This work...
Conventional radiography is the widely used imaging technology in diagnosing, monitoring, and prognosticating musculoskeletal (MSK) diseases because of its easy availability, versatility, cost-effectiveness. Bone overlaps are prevalent conventional radiographs, can impede accurate assessment bone characteristics by radiologists or algorithms, posing significant challenges to clinical diagnosis computer-aided diagnosis. This work initiated study a challenging scenario - layer separation which...
This study aimed to investigate the acute effects of aerobic exercise (AE), resistance (RE), and integrated concurrent (ICE; i.e., AE plus RE) on executive function among hospitalized type 2 diabetes mellitus (T2DM) inpatients, mechanism cerebral hemodynamics.A within-subject design was applied in 30 patients with T2DM aged between 45 70 years Jiangsu Geriatric Hospital, China. The participants were asked take AE, RE, ICE for 3 days at 48-h intervals. Three (EF) tests, namely, Stroop,...
Brown adipose tissue (BAT) is a kind of engaging in thermoregulatory thermogenesis, metaboloregulatory and secretory. Current studies have revealed that BAT activity negatively correlated with adult body weight considered target for the treatment obesity other metabolic-related diseases. Additionally, presents certain differences between different ages genders. Clinically, segmentation based on PET/CT data reliable method brown fat research. However, most current methods rely experience...
Salicylate is widely used to produce animal models of tinnitus in mice and/or rats. The side effects on auditory function, including hearing loss and tinnitus, are considered the results nerve dysfunction. A recent study indicated that chronic treatment with salicylate for several weeks reduces compressed action potential amplitude, which contradictory studies reporting excessive activation N‑methyl‑D‑aspartate receptors (NMDAR) tinnitus‑induced animals. specific aims experiment were detect...
Deep-sea mineral image segmentation plays an important role in deep-sea mining and underwater resource monitoring evaluation. The application of artificial intelligence technology to projects can effectively improve the quality efficiency mining. existing deep learning-based algorithms have problems such as accuracy rate is not high enough running time slightly longer. In order performance images, this paper uses Pix2PixHD (Pixel Pixel High Definition) algorithm based on Conditional...
The dynamic and continuous monitoring of blood glucose (BG) concentration is crucial for the health management diabetic patients. Despite its importance, significant challenges remain in development effective BG technologies. Metabolic heat conformation (MHC) offers a promising solution due to noninvasiveness reliability. However, progress MHC technology hindered by complexities multisensor integration intricate correlation between BG. Herein, wearable device based on metabolic integrated...
Conventional radiography is the widely used imaging technology in diagnosing, monitoring, and prognosticating musculoskeletal (MSK) diseases because of its easy availability, versatility, cost-effectiveness. In conventional radiographs, bone overlaps are prevalent, can impede accurate assessment characteristics by radiologists or algorithms, posing significant challenges to computer-aided diagnoses. This work initiated study a challenging scenario - layer separation which separate overlapped...
The success of deep neural networks usually relies on massive amounts manually labeled data, which is both expensive and difficult to obtain in many real-world datasets. In this paper, a novel unsupervised representation learning network, UMA-Net, proposed for the downstream 3D object classification. First, multi-scale shell-based encoder proposed, able extract local features from different scales simple yet effective manner. Second, an improved angular loss presented get good metric...
Cerenkov Luminescence Tomography (CLT) is a novel and potential imaging modality which can display the three-dimensional distribution of radioactive probes. However, due to severe ill-posed inverse problem, obtaining accurate reconstruction results still challenge for traditional model-based methods. The recently emerged deep learning-based methods directly learn mapping relation between surface photon intensity source, effectively improves performance CLT reconstruction. previously proposed...
Abstract The wide application of shared vehicles in the future will bring about tremendous importance to power grid and planning charging facilities. At present, there are flaws prediction methods for demand. Based on data mining national household travel survey(NHTS), this paper constructs a two-dimensional dynamic traffic behaviour model supported by spatiotemporal feature variables. Then, order explore characteristics continuous centralized vehicles, two scenarios set construct model....
Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that results in progressive articular destruction and severe disability. Joint space narrowing (JSN) progression has been regarded as an important indicator for RA received sustained attention. In the diagnosis monitoring of RA, radiology plays crucial role to monitor joint space. A new framework by quantifying JSN through image registration radiographic images developed. This offers advantage high accuracy, however,...