A5052414408- Venous Thromboembolism Diagnosis and Management
- Face recognition and analysis
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Vascular Procedures and Complications
- Aortic aneurysm repair treatments
- Oral health in cancer treatment
- Aortic Disease and Treatment Approaches
- Cardiac, Anesthesia and Surgical Outcomes
- Remote-Sensing Image Classification
- Diabetic Foot Ulcer Assessment and Management
- Human Pose and Action Recognition
- NF-κB Signaling Pathways
- Speech and Audio Processing
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Thyroid and Parathyroid Surgery
- Wound Healing and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Central Venous Catheters and Hemodialysis
- 3D Shape Modeling and Analysis
- Infectious Aortic and Vascular Conditions
- Trauma and Emergency Care Studies
- Periodontal Regeneration and Treatments
- Caveolin-1 and cellular processes
Shanghai Jiao Tong University
2011-2025
Jiangsu University
2015-2025
Shanghai Sixth People's Hospital
2004-2024
South China Normal University
2024
Walt Disney (United States)
2020
Real-time motion generation has garnered significant attention within the fields of computer animation and gaming. Existing methods typically realize control via isolated style or content labels, resulting in short, simply clips. In this paper, we propose a framework, called SPORT ("from zero-Shot Prompt tO Real-Time generation"), for generating real-time ever-changing motions using zero-shot prompts. consists three primary components: (1) body-part phase autoencoder that ensures smooth...
Synthesizing expression is essential to create realistic talking faces. Previous works consider expressions and mouth shapes as a whole predict them solely from audio inputs. However, the limited information contained in audio, such phonemes coarse emotion embedding, may not be suitable source of elaborate expressions. Besides, since are tightly coupled lip motions, generating other sources tricky always neglects performed on region, leading inconsistency between them. To tackle issues, this...
Many Internet users have encountered serious information overload problem on social networks such as Facebook and Twitter, where can consume the streams of updates from their connections. Traditional methods solving this include collaborative filtering diffusion modeling. Both answer "who will adopt what" question different perspective, while either them only captures single-faceted knowledge evidences. In paper, we solve personalized update recommendation by proposing a framework which...
Audio-driven emotional 3D face animation aims to generate emotionally expressive talking heads with synchronized lip movements. However, previous research has often overlooked the influence of diverse emotions on facial expressions or proved unsuitable for driving MetaHuman models. In response this deficiency, we introduce EmoFace, a novel audio-driven methodology creating animations vivid dynamics. Our approach can multiple emotions, and ability random yet natural blinks eye movements,...
Diabetic foot ulcers (DFUs) represent a common and challenging wound in clinical practice. The treatment of DFUs is hindered by various factors, including increased inflammation, impaired cell migration proliferation, abnormal blood vessel formation due to oxidative stress hyperglycemic environment. To enhance the therapeutic outcomes DFUs, we have developed an intelligent hydrogel through modification with catechol phenylboronic ester grafts. This exhibits high glucose responsiveness...
Generating realistic images with the guidance of reference and human poses is challenging. Despite success previous works on synthesizing person in iconic views, no efforts are made towards task pose-guided image synthesis non-iconic views. Particularly, we find that models cannot handle such a complex task, where captured views by commercially-available digital cameras. To this end, propose new framework - Multi-branch Refinement Network (MR-Net), which utilizes several visual cues,...
We propose a parallel massage robot with compliant joints based on the series elastic actuator (SEA), offering unified force-position control approach. First, kinematic and static force models are established for obtaining corresponding variables. Then, novel strategy is proposed to separately along normal direction of surface another two-direction displacement, without requirement robotic dynamics model. To evaluate its performance, we implement experiments. The results demonstrate that...
Chronic venous insufficiency (CVI) affect a large population, and it cannot heal without doctors' interventions. However, many patients do not get the medical advisory service in time. At same time, doctors also need an assistant tool to classify according severity level of CVI. We propose automatic classification method, named CVI-classifier help patients. In this approach, first, low-level image features are mapped into middle-level semantic by concept classifier, multi-scale model is...
To investigate nonpermanent inferior vena cava (IVC) filter in the prevention of perioperative pulmonary embolism (PE) patients lower extremity and/or pelvic bone fracture with deep vein thrombosis (DVT).Lower or DVT hospitalized our hospital from January 2003 to October 2014 were retrospectively analyzed. Data was analyzed for age, gender, position fracture, proximal thrombosis, indications placement, complications, retrieval rate, and rate entrapped clot. Patients who underwent IVC...
Abstract Two-dimensional gel electrophoresis (2-DE) was used to detect fluoride-induced alterations in the proteome of rat hippocampus. Male Sprague-Dawley rats (n=30) were subjected treatments three weeks after weaning. Animals first group injected intraperitoneally (i.p.) with aqueous NaF (20 mg/kg/body weight/day), second group, physiological saline, served as control. After 30 days, body weight fluoride-treated lower than that control, and F – levels serum higher The hippocampus...
The current study aimed to isolate key transcription factors (TFs) in caerulein-induced pancreatitis, and identify the difference between wild type Mist1 knockout (KO) mice, order elucidate contribution of pancreatitis. gene profile GSE3644 was downloaded from Gene Expression Omnibus database then analyzed using t-test. isolated differentially expressed genes (DEGs) were mapped into a transcriptional regulatory network derived Integrated Transcription Factor Platform network, interaction...
To the editor: We report a case of aortoduodenal fistula presenting as right lower limb ischemia and infection after endovascular aortic repair (EVAR) an infected abdominal aneurysm (AAA). A above knee amputation was performed for septic embolism ilio-femoral arteries before stent-graft finally diagnosed. Then extra-anatomic revascularization left limb, following by explantation rebuilding gastro-intestinal continuity were done. our knowledge, this is first successfully treated method in...
<title>Abstract</title> A large number of clinical and animal studies have demonstrated that osteocalcin (OC) secreted by osteoblasts plays an important role in glucose metabolism. The purpose this study was to further investigate the correlation between OC different blood markers patients with type 2 diabetes.A total 480 were divided into male group(n = 258) postmenopausal female 258). OC, Glycated hemoglobin (HbA1c), albumin (GA) 1,5-anhydroglucitol (1,5-AG) measured. serum level analyzed...
Remote sensing target detection aims to identify and locate critical targets within remote images, finding extensive applications in agriculture urban planning. Feature pyramid networks (FPNs) are commonly used extract multi-scale features. However, existing FPNs often overlook extracting low-level positional information fine-grained context interaction. To address this, we propose a novel location refined feature network (LR-FPN) enhance the extraction of shallow facilitate The LR-FPN...
While the Internet of Things (IoT) technology is booming and offers huge opportunities for information exchange, it also faces unprecedented security challenges. As an important complement to physical layer technologies IoT, radio frequency fingerprinting (RFF) great interest due its difficulty in counterfeiting. Recently, many machine learning (ML)-based RFF algorithms have emerged. In particular, deep (DL) has shown benefits automatically extracting complex subtle features from raw data...