A5100365649- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Particle Detector Development and Performance
- Antenna Design and Analysis
- Advanced X-ray and CT Imaging
- Advanced Photocatalysis Techniques
- Advanced Antenna and Metasurface Technologies
- Radiomics and Machine Learning in Medical Imaging
- Natural Fiber Reinforced Composites
- Radiation Therapy and Dosimetry
- Metamaterials and Metasurfaces Applications
- Radiation Detection and Scintillator Technologies
- Medical Imaging and Analysis
- Electrocatalysts for Energy Conversion
- Particle physics theoretical and experimental studies
- Nanoparticle-Based Drug Delivery
- Photoacoustic and Ultrasonic Imaging
- Advanced Neural Network Applications
- Advanced battery technologies research
- Radiation Effects in Electronics
- MXene and MAX Phase Materials
- Photonic and Optical Devices
- Perovskite Materials and Applications
- Radio Frequency Integrated Circuit Design
- biodegradable polymer synthesis and properties
Chinese University of Hong Kong
2025
Kaohsiung Medical University
2025
Kaohsiung Municipal Ta-Tung Hospital
2025
Southern Methodist University
2015-2024
Ningbo University
2021-2024
Qingdao University
2020-2024
Mount Sinai Medical Center
2022-2024
Northeast Forestry University
2013-2024
Osaka University
2024
Shaanxi University of Science and Technology
2021-2024
Accurate and timely organs-at-risk (OARs) segmentation is key to efficient high-quality radiation therapy planning. The purpose of this work develop a deep learning-based method automatically segment multiple thoracic OARs on chest computed tomography (CT) for radiotherapy treatment planning.We propose an adversarial training strategy train neural networks the organs CT images. proposed design networks, called U-Net-generative network (U-Net-GAN), jointly trains set U-Nets as generators...
Abstract Artificial photosynthesis of H 2 O using earth-abundant water and oxygen is a promising approach to achieve scalable cost-effective solar fuel production. Recent studies on this topic have made significant progress, yet are mainly focused organic polymers. This set photocatalysts susceptible potent oxidants (e.g. hydroxyl radical) that inevitably formed during generation. Here, we report an inorganic Mo-doped faceted BiVO 4 (Mo:BiVO ) system resistant radical oxidation exhibits high...
Purpose Current clinical application of cone‐beam CT (CBCT) is limited to patient setup. Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process CBCT‐based adaptive planning presently impractical. In this study, we developed a deep‐learning‐based approach improve CBCT image quality HU accuracy for potential extended use in CBCT‐guided pancreatic radiotherapy. Methods Thirty patients previously treated with pancreas SBRT were included. The acquired prior first fraction...
Facilitating charge separation and transport of semiconductors is pivotal to improving their solar-to-hydrogen conversion efficiency. To this end, manipulating the dynamics via element doping has attracted much attentions. Here, we doped phosphorus (P) into two-dimensional (2D) single-crystalline quaternary sulfide (SCQS) nanobelts, enabling significantly enhanced photocatalytic H2 production. By carefully studying carrier after P doping, found that introduction leads a narrowed band gap,...
A general method for preparing nano-sized metal oxide nanoparticles with highly disordered crystal structure and their processing into stable aqueous dispersions is presented. With these as building blocks, a series of nanoparticles@reduced graphene (rGO) composite aerogels are fabricated directly used high-power anodes lithium-ion hybrid supercapacitors (Li-HSCs). To clarify the effect degree disorder, control samples crystalline similar particle size prepared. The results indicate that...
Vertical sandwich-like architectures of Fe<sub>2</sub>P@rGO were constructed and performed well in terms excellent HER activity high stability simultaneously.
Porous nitrogen-rich carbon derived from self-repairing g-C<sub>3</sub>N<sub>4</sub> with improved conductivity and more active sites exhibited high capacitance good cycling performance due to the oxygen-containing groups atoms close nitrogen as confirmed by XPS.
Abstract Thin‐film supercapacitors are promising candidates for energy storage in wearable electronics due to their mechanical flexibility, high power density, long cycling life, and fast‐charging capability. In addition all of these features, device transparency would open up completely new opportunities devices, virtual reality or heads‐up displays vehicle navigation. Here a method is introduced micromolding Ag/porous carbon Ag/Ni x Fe y O z @reduced graphene oxide (rGO) into grid‐like...
Magnetic resonance imaging (MRI) has been widely used in combination with computed tomography (CT) radiation therapy because MRI improves the accuracy and reliability of target delineation due to its superior soft tissue contrast over CT.The MRI-only treatment process is currently an active field research since it could eliminate systematic MR-CT co-registration errors, reduce medical cost, avoid diagnostic exposure, simplify clinical workflow.The purpose this work validate application a...
To develop an automated cone-beam computed tomography (CBCT) multi-organ segmentation method for potential CBCT-guided adaptive radiation therapy workflow. The proposed combines the deep leaning-based image synthesis method, which generates magnetic resonance images (MRIs) with superior soft-tissue contrast from on-board setup CBCT to aid segmentation, a attention strategy, focuses on learning discriminative features differentiating organ margins. whole consists of 3 major steps. First,...
Photochemically generated reactive oxygen species (ROS) play numerous key roles in earth's surface biogeochemical processes and pollutant dynamics. ROS production has historically been linked to the photosensitization of natural organic matter. Here, we report photochemical from three naturally abundant iron minerals. All investigated minerals are photoactive toward sunlight irradiation, with photogenerated currents linearly correlated incident light intensity. Hydroxyl radicals (•OH)...
Albumin has emerged as a versatile drug carrier. To harness albumin carrier for doxorubicin (DOX), we synthesized three acid-labile DOX prodrugs using stearic acid (SA), oleic (OA), and linoleic (LA) the albumin-binding motif, respectively. Different from conventional nanodrugs (such Abraxane, with loading of 10%), assembled nanoparticles (NPs) have an ultrahigh (>35%). Noteworthy, demonstrated that saturation fatty acids exerted great influence on colloidal stability prodrug NPs, thus...
Dimeric prodrug nanoassemblies (DPNAs) stand out as promising strategies for improving the efficiency and safety of chemotherapeutic drugs. The success trisulfide bonds (-SSS-) in DPNAs makes polysulfide a worthwhile focus. Here, we explore comprehensive role tetrasulfide (-SSSS-) constructing superior DPNAs. Compared to disulfide bonds, endow with superlative self-assembly stability, prolonged blood circulation, high tumor accumulation. Notably, ultra-high reduction responsivity make highly...
The purpose of this work is to validate the application a deep learning-based method for pelvic synthetic CT (sCT) generation that can be used prostate proton beam therapy treatment planning. We propose integrate dense block minimization into 3D cycle-consistent generative adversarial networks (cycleGAN) framework effectively learn nonlinear mapping between MRI and pairs. A cohort 17 patients with co-registered MR pairs were test sCT by leave-one-out cross-validation. Image quality images,...
We report a nearly vertical reduced graphene oxide (VrGO) nanosheet coupled with polyaniline (PANI) for supporting palladium (Pd) nanoparticles. The PANI-coupled VrGO (PANI@VrGO) is prepared by simple one-step electrodeposition technique ,and Pd nanoparticles are anchored on the support of PANI@VrGO through spontaneous redox reaction PANI salt. designed efficiently exposes surface rGO sheets and stabilizes metal Consequently, Pd/PANI@VrGO electrocatalyst exhibits high catalytic activity...
Background and purpose The of this study is to develop a deep learning‐based approach simultaneously segment five pelvic organs including prostate, bladder, rectum, left right femoral heads on cone‐beam CT (CBCT), as required elements for prostate adaptive radiotherapy planning. Materials methods We propose utilize both CBCT CBCT‐based synthetic MRI (sMRI) the segmentation soft tissue bony structures, they provide complementary information organ segmentation. images have superior structure...