A5069934096- Radiomics and Machine Learning in Medical Imaging
- Sarcoma Diagnosis and Treatment
- MRI in cancer diagnosis
- Advanced biosensing and bioanalysis techniques
- Robotic Path Planning Algorithms
- Advanced X-ray and CT Imaging
- Vascular Malformations Diagnosis and Treatment
- Robot Manipulation and Learning
- Extracellular vesicles in disease
- MicroRNA in disease regulation
- Microfluidic and Bio-sensing Technologies
- Tryptophan and brain disorders
- Soft tissue tumor case studies
- Hearing, Cochlea, Tinnitus, Genetics
- Formal Methods in Verification
- Advanced optical system design
- Colorectal Cancer Surgical Treatments
- Genetics and Neurodevelopmental Disorders
- Vascular Procedures and Complications
- Consumer Market Behavior and Pricing
- Blood properties and coagulation
- Nerve injury and regeneration
- Carbon dioxide utilization in catalysis
- Multimodal Machine Learning Applications
- Innovation Diffusion and Forecasting
Peking University First Hospital
2024
Peking University
2024
Second Affiliated Hospital of Dalian Medical University
2018-2023
Zhejiang University of Technology
2017-2023
Dalian Medical University
2018-2023
The University of Texas at Austin
2022-2023
Jining First People's Hospital
2022
First Affiliated Hospital of Wenzhou Medical University
2022
Taihe Hospital
2022
Wenzhou Medical University
2022
Pathology Artificial Intelligence Platform (PAIP) is a free research platform in support of pathological artificial intelligence (AI). The main goal the to construct high-quality pathology learning data set that will allow greater accessibility. PAIP Liver Cancer Segmentation Challenge, organized conjunction with Medical Image Computing and Computer Assisted Intervention Society (MICCAI 2019), first image analysis challenge apply datasets. was evaluate new existing algorithms for automated...
Acidolysis is an efficient chemical degradation method that could completely depolymerize thermosetting polyurethanes into reusable monomers. However, energy consumption control and the quality improvement of recycled products remain significant challenges. Herein, zinc acetate discovered as a high-performance catalyst, which promotes rapid acidolysis polyurethane foams (PUFs) also helps realize solvent-free reaction significantly improves repolymerizable recovered polyols (RPs). In...
A highly sensitive magnetic-capture SERS assay for detecting cancer-related microRNAs was developed by enhancing the formation of “hot spots”.
Abstract Purpose To evaluate the 3D U‐Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images healthy adults. Materials methods MR from 160 adults were collected retrospectively. A previously constructed deep‐learning was used to automatically segment anatomical structures. Segmentation localization results checked by experienced radiologists. Pearson's correlation analyses conducted examine relationships between patient image...
Abstract Mental disorders are severe, disabling conditions with unknown etiology and commonly misdiagnosed when clinical symptomology criteria solely used. Our previous work indicated that combination of serum levels multiple proteins in tissue plasminogen activator (tPA)-brain-derived neurotrophic factor (BDNF) pathway improved accuracy diagnosis major depressive disorder (MDD). Here, we measured tPA, inhibitor-1 (PAI-1), BDNF, precursor-BDNF (proBDNF), tropomyosin-related kinase B (TrkB)...
A new strategy of multi-stage degradation PUFs attained gradient deconstruction at low temperatures with energy consumption.
A highly sensitive and reproducible magnetic-capture SERS assay for detecting cancer-related microRNAs was developed using silica coated nanotags.
A highly sensitive and reproducible magnetic-capture SERS assay was developed for multiplexed detection of cancer-related microRNAs in serum solution.
Task and motion planning (TAMP) algorithms aim to help robots achieve task-level goals, while maintaining motion-level feasibility. This paper focuses on TAMP domains that involve robot behaviors take extended periods of time (e.g., long-distance navigation). In this paper, we develop a visual grounding approach probabilistically evaluate action feasibility, introduce algorithm, called GROP, optimizes both feasibility efficiency. We have collected dataset includes 96, 000 simulated trials...
Accurate identification of the histopathological grade and Ki-67 expression level is important in clinical cases soft tissue sarcomas (STSs).To explore feasibility a radiomics model based on intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) diffusion kurtosis (DKI) MRI parameter maps predicting STSs.In total, 42 patients diagnosed with STSs between May 2018 January 2020 were selected. The MADC software Functool GE ADW 4.7 workstation was used to obtain standard apparent...
Abstract To investigate the value of radiomic models for differentiating parasellar cavernous hemangiomas from meningiomas and to compare classification performance with different MR sequences classifiers. A total 96 patients tumors (40 56 meningiomas) were enrolled in this retrospective multiple-center study. Univariate multivariate analyses performed identify clinical factors semantic features MRI scans. Radiomics extracted five using radiomics software. Three feature selection methods six...
Misdiagnosis between major depressive disorder (MDD) and bipolar depression (BD) is quite common. Our previous study found significantly lower serum VGF (non-acronymic) in MDD patients. However, it unclear whether same changes occur BD Therefore, we aimed to investigate the relationship levels General information, scores of 17-item Hamilton Depression Rating Scale (HDRS), fasting blood samples all participants including 30 patients, 20 healthy controls (HC) were collected. Serum measured by...
Accurate prediction of the histological grade and Ki-67 expression soft tissue sarcoma (STS) before surgery is essential for subsequent diagnosis, treatment, prognostic evaluation patients.To evaluate intravoxel incoherent motion (IVIM) diffusion kurtosis imaging (DKI) in predicting STS.A total 40 patients underwent 3-T MRI, including conventional sequences; IVIM DKI parameters were obtained. All divided into a low-grade (grade 1 2) group high-grade 3) through pathological analysis. each...
Soft tissue sarcomas, similar in incidence to cervical and esophageal cancers, arise from various soft tissues like smooth muscle, fat, fibrous tissue. Effective segmentation of sarcomas imaging is crucial for accurate diagnosis.
To establish mathematical model between driving voltage and phase retardation of liquid crystal variable retarders (LCVR) attached with a compensator, A new setup based on Stokes parameters is built to measure the LCVR retardation. Under 25 °C, 532nm wavelength vertical incident light, adjusting voltage, collecting output power by polarization analyzing system. Using photoelectrical detection theory, total 121 experimental samples were calculated, was divided equally, one training set other...
In existing task and motion planning (TAMP) research, it is a common assumption that experts manually specify the state space for task-level planning. A well-developed enables desirable distribution of limited computational resources between However, developing such spaces can be non-trivial in practice. this paper, we consider long horizon mobile manipulation domain including repeated navigation manipulation. We propose Symbolic State Space Optimization (S3O) computing set abstracted...
In existing task and motion planning (TAMP) research, it is a common assumption that experts manually specify the state space for task-level planning. A well-developed enables desirable distribution of limited computational resources between However, developing such spaces can be non-trivial in practice. this paper, we consider long horizon mobile manipulation domain including repeated navigation manipulation. We propose Symbolic State Space Optimization (S3O) computing set abstracted...
Intracranial aneurysm (IAN) is a class of cerebrovascular diseases with serious threat to patients, and an accurate diagnosis IAN very important for both selection the appropriate therapy prediction prognosis. This study aimed evaluate diagnostic values zero-echo-time magnetic resonance angiography (ZTE-MRA) time-of-flight (TOF-MRA) in patients IAN.