A5002375482- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- MRI in cancer diagnosis
- Radiation Therapy and Dosimetry
- Solar and Space Plasma Dynamics
- Dark Matter and Cosmic Phenomena
- Magnetic confinement fusion research
- COVID-19 diagnosis using AI
- Optical Wireless Communication Technologies
- Atomic and Subatomic Physics Research
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Optimization and Search Problems
- Plasma Diagnostics and Applications
- Prostate Cancer Treatment and Research
- Advanced Manufacturing and Logistics Optimization
- Fusion materials and technologies
- Photoacoustic and Ultrasonic Imaging
- Scheduling and Optimization Algorithms
- Effects of Radiation Exposure
- Advanced X-ray and CT Imaging
- Laser-induced spectroscopy and plasma
Soochow University
2021-2025
First Affiliated Hospital of Soochow University
2021-2025
Hong Kong Polytechnic University
2022-2025
Kaohsiung Chang Gung Memorial Hospital
2024-2025
National Sun Yat-sen University
2024-2025
Chang Gung University
2024-2025
University of Science and Technology of China
2024
Wuhan Third Hospital
2024
Tongren Hospital
2024
Sun Yat-sen University
2022
In the distributed integrated modular avionics (DIMA), it is desirable to assign DIMA devices installation locations of aircraft for obtaining optimal quality and cost, subject resource safety constraints. Currently, routine device assignments in are conducted manually or by experience, which becomes more difficult with increasing number devices. Especially, face large-scale assignment problems (DAPs), manual allocation will become an almost impossible task. this paper, a bi-objective...
The High Energy cosmic-Radiation Detection (HERD) facility is one of several space astronomy payloads the cosmic lighthouse program onboard China's Space Station, which planned for operation starting around 2020 about 10 years. main scientific objectives HERD are indirect dark matter search, precise ray spectrum and composition measurements up to knee energy, high energy gamma-ray monitoring survey. composed a 3-D cubic calorimeter (CALO) surrounded by microstrip silicon trackers (STKs) from...
Abstract Radiomic model reliability is a central premise for its clinical translation. Presently, it assessed using test–retest or external data, which, unfortunately, often scarce in reality. Therefore, we aimed to develop novel image perturbation-based method (IPBM) the first of kind toward building reliable radiomic model. We developed prognostic head-and-neck cancer patients on training (70%) and evaluated testing (30%) cohort C-index. Subsequently, applied IPBM CT images both cohorts...
Objectives This study aimed to elucidate the correlation of Visceral Adiposity Index (VAI) with prostate cancer (PCa) among men aged 40 years and older in United States.
Objective.This study aimed to propose a method for obtaining anatomy-wise lung ventilation image (VIaw) that enables functional assessment of parenchyma and tumor-blocked pulmonary segments. The VIawwas used define multiple volumes the thereby support radiation treatment planning.Approach.A super-voxel-based was employed generate VIsvd. In VIsvdof 11 patients with tumor blockage airway, value in segments set 0 VIaw. divided into regions high volume (HFV), unrecoverable low (LFV), recoverable...
Benign prostatic hyperplasia (BPH) is a common urological condition affecting elderly men worldwide. In 2021, there were 112,502 (95% UI: 88,131.8–142,634.2) thousand prevalent cases globally, compared to 50,705.8 38,735.5–65,693.4) in 1990, representing 122% increase. Over the past 30 years, burden of BPH low and low-middle socio-demographic index (SDI) regions have shown an upward trend projected continue increasing over next 15 years. Middle-SDI are facing heaviest absolute BPH. Despite...
Background: Pulmonary segments are valuable because they can provide more precise localization and intricate details of lung cancer than lobes. With advances in precision therapy, there is an increasing demand for the identification visualization pulmonary computed tomography (CT) images to aid treatment cancer. This study aimed integrate multiple deep-learning models accurately segment CT using a bronchial tree (BT)-based approach. Methods: The proposed segmentation method BT-based approach...
To investigate the effect of blistering on hydrogen isotope (HI) retention, a series deuterium plasma exposures were performed using recrystallized tungsten samples at 500 K with high fluences up to 1.0 × 1028 ions m−2 in linear device STEP. An increase blister density and retention was observed increasing fluence. Based simulation thermal desorption spectra TMAP, defects different detrapping energies are found be located depth tens microns, which coincides grain boundaries (GBs) close...
This paper aims to derive the upper and lower bounds for channel capacity of dimmable visible light communications (VLC) systems. Because information is modulated into instantaneous optical intensity emitting diodes (LEDs), transmitted signal represented by a nonnegative input, which corrupted an additive white Gaussian noise. Considering illumination support LED device ability in VLC systems, must satisfy allowed peak constraints. With these constraints, bound on derived through maximum...
Radiological prediction of microvascular invasion (MVI) hepatocellular carcinoma (HCC) is essential but few models were clinically implemented because limited interpretability and generalizability.Based on 2096 patients in three independent HCC cohorts, we established validated an MVI predicting model. First, used data from the primary cohort to train a 3D-ResNet network for then optimised model with "expert-inspired training" construction. Second, other two cohorts using implementation...
Deep learning model has shown the feasibility of providing spatial lung perfusion information based on CT images. However, performance this method cancer patients is yet to be investigated. This study aims develop a transfer framework evaluate deep CT-to-perfusion mapping specifically patients.SPECT/CT scans 33 and 137 non-cancer were retrospectively collected from two hospitals. To adapt patients, was developed utilize features learned patients. These images processed extract...
Abstract Background The immunohistochemical test (IHC) of HER2 and HR can provide prognostic information treatment guidance for invasive breast cancer patients. We aimed to develop noninvasive image signatures IS HR, respectively. independently evaluate their repeatability, reproducibility, association with pathological complete response (pCR) neoadjuvant chemotherapy. Methods Pre-treatment DWI, IHC receptor status HER2/HR, pCR chemotherapy 222 patients from the multi-institutional ACRIN...
Purpose: This study aimed to develop and evaluate <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">T</mml:mi><mml:mi mathvariant="normal">V</mml:mi><mml:mi mathvariant="normal">I</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">S</mml:mi><mml:mi mathvariant="normal">D</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> , a super-voxel-based method for surrogate computed...
The inherent characteristics of lung tissue independent breathing maneuvers may provide fundamental information for function assessment. This paper attempted to correlate textural signatures from computed tomography (CT) with pulmonary measurements.Twenty-one cancer patients thoracic 4-dimensional CT, DTPA-single-photon emission CT ventilation ( VNM ) scans, and available spirometry measurements (forced expiratory volume in 1 s, FEV ; forced vital capacity, FVC; /FVC) were collected. In...
Abstract The trajectory of the compact torus (CT) within a tokamak discharge is crucial to fueling. In this study, we developed penetration model with vacuum magnetic field region accurately determine CT trajectories in discharges. This was used calculate and parameters injections by applying both perpendicular tangential injection schemes HL-2A ITER tokamaks. For along tokamak’s major radius direction from outboard, CTs same exhibited 0.08 reduction relative depth when injected into 0.13...
Background: Accurate assessment of coronavirus disease 2019 (COVID-19) lung involvement through chest radiograph plays an important role in effective management the infection. This study aims to develop a two-step feature merging method integrate image features from deep learning and radiomics differentiate COVID-19, non-COVID-19 pneumonia normal radiographs (CXR).
The transmitted optical intensity in visible light communications (VLC) system is represented by a nonnegative input, which corrupted an additive white Gaussian noise. In this paper, we consider that the signal must satisfy illumination constraint to fulfill support VLC system. So average constrained target determined nominal of source devices and dimming target. derivation upper bound based on space geometry via sphere-packing argument. lower derived through maximum mutual information...
Current computed tomography (CT)-based lung ventilation imaging (CTVI) techniques derive a static image without temporal information. This research aims to develop four-dimensional CT (4DCT)-based multiphase dynamic framework capable of recovering the entire process throughout breathing cycle for functional avoidance radiotherapy (FLART).A total 15 free-breathing thoracic 4DCT scans or esophageal cancer patients were collected from public datasets. The region each phase was first delineated,...