A5100625498- Acute Ischemic Stroke Management
- Cerebrospinal fluid and hydrocephalus
- Traumatic Brain Injury and Neurovascular Disturbances
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Adversarial Robustness in Machine Learning
- Diabetes and associated disorders
- Pancreatic function and diabetes
- Handwritten Text Recognition Techniques
- Reinforcement Learning in Robotics
- Venous Thromboembolism Diagnosis and Management
- Intracerebral and Subarachnoid Hemorrhage Research
- Face recognition and analysis
- Advanced Neuroimaging Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Neurological Disease Mechanisms and Treatments
- Cardiac Imaging and Diagnostics
- Coronary Interventions and Diagnostics
- Circadian rhythm and melatonin
- Fetal and Pediatric Neurological Disorders
- Muscle activation and electromyography studies
- Photoreceptor and optogenetics research
- MRI in cancer diagnosis
- Robot Manipulation and Learning
- Currency Recognition and Detection
Shanghai Sixth People's Hospital
2021-2025
Shanghai Jiao Tong University
2021-2025
University of Shanghai for Science and Technology
2024
Soochow University
2024
The Affiliated Yongchuan Hospital of Chongqing Medical University
2024
Chongqing Medical University
2024
Capital Medical University
2024
Shanghai First People's Hospital
2024
Dalian Medical University
2024
Nanjing University of Chinese Medicine
2024
Melatonin, historically recognized for its primary role in regulating circadian rhythms, has expanded influence particularly due to wide range of biological activities. It firmly established itself cancer research. To highlight versatility, we will delve into how melatonin interacts with key signaling pathways, such as the Wnt/β-Catenin, PI3K, and NF-κB which play foundational roles tumor development progression. Notably, can intricately modulate these potentially affecting various cellular...
Background Assessing the glymphatic function using diffusion tensor image analysis along perivascular space (DTI‐ALPS) may be helpful for mild traumatic brain injury (mTBI) management. Purpose To assess DTI‐ALPS and its associations with global white matter damage cognitive impairment in mTBI. Study Type Prospective. Population Thirty‐four controls (44.1% female, mean age 49.2 years) 58 mTBI subjects (43.1% 48.7 years), including uncomplicated ( N = 32) complicated 26). Field...
The encapsulation of various guest molecules into the pores metal-organic frameworks (MOFs) to form hybrid materials has attracted significant attention due their unique spatial distribution and certain preferential geometry guests inside MOFs. This arrangement often results in exhibiting physical chemical properties intramolecular interactions with host. In this article, five viologen derivatives were introduced as a Zn-MOF different benzene ring lengths, resulting formation host-guest...
The impact of ischemic heart disease (IHD) on the brain glymphatic MRI indices and risk Alzheimer's (AD) remains largely unclear. This study aimed to investigate associations between IHD, AD. A total 1385 non-dementia subjects (55.2 % male, mean age 73.53) were included. Diffusivity along perivascular space (DTI-ALPS), free water (FW) choroid plexus volume used reflect function. IHD with derived indices, PET amyloid, tau cognitive performance explored by multiple regression analysis. tested...
Background Deep learning (DL) could improve the labor-intensive, challenging processes of diagnosing cerebral aneurysms but requires large multicenter data sets. Purpose To construct a DL model using set for accurate aneurysm segmentation and detection on CT angiography (CTA) images to compare its performance with radiology reports. Materials Methods Consecutive head or neck CTA suspected unruptured were gathered retrospectively from eight hospitals between February 2018 October 2021...
Abstract Objective To investigate the characteristics and associations of MRI-visible perivascular spaces (PVS) with clinical progression longitudinal cognitive decline across Alzheimer’s disease spectrum. Methods We included 1429 participants (641 [44.86%] female) from Disease Neuroimaging Initiative (ADNI) database. PVS number grade in centrum semiovale (CSO-PVS), basal ganglia (BG-PVS), hippocampus (HP-PVS) were compared among control (CN), mild impairment (MCI), (AD) groups. tested as...
Light plays an essential role in a variety of physiological processes, including vision, mood, and glucose homeostasis. However, the intricate relationship between light animal's feeding behavior has remained elusive. Here, we found that exposure suppresses food intake, whereas darkness amplifies it male mice. Interestingly, this phenomenon extends its reach to diurnal Nile grass rats healthy humans. We further show lateral habenula (LHb) neurons mice respond exposure, which turn activates...
Abstract Recently, studies show that deep learning-based automatic speech recognition (ASR) systems are vulnerable to adversarial examples (AEs), which add a small amount of noise the original audio examples. These AE attacks pose new challenges learning security and have raised significant concerns about deploying ASR devices. The existing defense methods either limited in application or only defend on results, but not process. In this work, we propose novel method infer adversary intent...
To investigate the association of MRI-visible perivascular spaces (PVS) with cognitive impairment in military veterans traumatic brain injury (TBI), and whether cerebrospinal fluid (CSF) p-tau Aβ mediate this effect.
This study aims to compare the efficacy and safety of freehand atlantoaxial pedicle screws against custom 3D printed navigation template in treatment upper cervical fractures. In our institution from 2010 2020, a retrospective cohort analysis 23 patients with fractures was done. These were separated into two groups: group A (N = 12), which received customized template-assisted virtual reality techniques, B 11), assisted by intraoperative fluoroscopy. Every patient monitored for more than 1...
Abstract In recent years, deep learning (DL) models have achieved significant progress in many domains, such as autonomous driving, facial recognition, and speech recognition. However, the vulnerability of to adversarial attacks has raised serious concerns community because their insufficient robustness generalization. Also, transferable become a prominent method for black-box attacks. this work, we explore potential factors that impact examples (AEs) transferability DL-based We also discuss...
Automatic detection of PCB defects become a difficult work in electronics industry, with the rapid development Integrated Circuit. A good method can effectively improve production efficiency and reduce costs quality inspection. The traditional image processing methods have backwards complicated system structure, segmentation, low accuracy, etc. In order to solve above problems, this paper proposes extracting features by self-supervised learning supervised complete classification task. This...
The aim of this study was to investigate the distribution characteristics enlarged perivascular spaces (EPVS) and white matter hyperintensities (WMH) their associations with disease severity across frontotemporal lobar degeneration (FTLD) syndromes spectrum.This included 73 controls, 39 progressive supranuclear palsy Richardson's syndrome (PSP-RS), 31 corticobasal (CBS), 47 behavioral variant dementia (bvFTD), 36 non-fluent primary aphasia (nfvPPA), 50 semantic (svPPA). All subjects had...
We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various images. Unlike previous methods, we formulate separation line prediction as regression problem instead an image segmentation and propose two-stage DETR based separator dubbed \textbf{Sep}arator \textbf{RE}gression \textbf{TR}ansformer (SepRETR), predict lines images directly. To make framework work efficiently...
Brain metastasis is a devastating clinical condition globally as one of the most common central nervous system malignancies. The current study aimed to assess effect defibrotide, an Food and Drug Administration-approved drug, against brain underlying molecular mechanisms. Two tumor cell lines with high potential, PC-9 231-BR, were subjected defibrotide treatment increasing dosage. capacity cells was evaluated by invasion migration assays. Western blotting employed determine levels tight...
Huaier, derived from the fungus on Sophora japonica trees, is a fruiting body belonging to Polyporaceae family. Traditionally, it has been utilized for treating hemorrhoids and rectal bleeding. As medicine food homology herb, its remarkable immune-regulating properties have led widespread adoption in digestive system tumors recent years. Currently, over 502 compounds, excluding polysaccharides, isolated Huaier exhibiting diverse biological activities medicinal value. Clinically, demonstrated...
To study the regularity of central response to thermal needle stimulation "Zusanli" (ST36) at different temperature, and analyze temperature difference responses.