Publications by authors named "Lintao Peng"

Accurate oral disease segmentation is a challenging task, for three major reasons: 1) The same type of oral disease has a diversity of size, color and texture; 2) The boundary between oral lesions and their surrounding mucosa is not sharp; 3) There is a lack of public large-scale oral disease segmentation datasets. To address these issues, we first report an oral disease segmentation network termed Oralformer, which enables to tackle multiple oral diseases. Specifically, we use a parallel design to combine local-window self-attention (LWSA) with channel-wise convolution (CWC), modeling cross-window connections to enlarge the receptive fields while maintaining linear complexity.

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  • High-resolution single-photon imaging faces challenges due to complex hardware and noise, but deep learning can enhance its quality and bit depth.
  • Researchers developed a physical noise model by studying SPAD electronics, collecting a detailed dataset of real SPAD images for calibration, and creating a larger synthetic dataset for training.
  • A deep transformer network was built to overcome super-resolution issues in noisy, low-quality SPAD images, demonstrating its effectiveness in various applications like microfluidic inspection and high-speed imaging.
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  • Underwater imaging suffers due to impurities that affect light absorption and scattering, leading to poor quality images, and existing enhancement techniques lack sufficient data and consideration for color channel inconsistencies.
  • A new large-scale underwater image (LSUI) dataset has been created, consisting of 4279 image groups that pair raw images with clear reference images and additional segmentation maps to improve visual quality.
  • The introduction of a U-shape Transformer network tailored for underwater image enhancement includes specialized modules to better address color channel issues and uses an innovative loss function based on human vision, achieving superior performance in tests compared to existing methods.
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Recently developed image-free sensing techniques have achieved remarkable performance in various vision tasks. However, existing image-free methods still cannot simultaneously obtain the category, location, and size information of all objects. In this Letter, we report a novel image-free single-pixel object detection (SPOD) technique.

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  • - The study explores how defects in two-dimensional materials, specifically single-layer WS, can enhance properties like photoluminescence (PL) and enable applications like single-photon emission by using nitrogen plasma exposure.
  • - Researchers discovered a unique low-energy PL peak at 1.59 eV, influenced by the nitrogen substitution for sulfur, which varies with sulfur deficiency levels, peaking at a 2.0% deficiency and disappearing at higher levels.
  • - First-principles calculations support the findings, indicating the potential of the nitrogen defects in WS as isolated artificial atoms for single-photon emitters, while also providing a method to track nitrogen doping concentration through PL intensity.
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Wide-field and high-resolution (HR) imaging are essential for various applications such as aviation reconnaissance, topographic mapping, and safety monitoring. The existing techniques require a large-scale detector array to capture HR images of the whole field, resulting in high complexity and heavy cost. In this work, we report an agile wide-field imaging framework with selective high resolution that requires only two detectors.

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  • * Thin films of amorphous KBS show a uniform structure, have a small surface roughness of 5 nm, and can transition to a crystalline state at approximately 483 K, displaying significant differences in optical bandgap and electrical conductivity between their amorphous and crystalline forms.
  • * KBS demonstrates effective phase change memory capabilities through Joule heating, switching states at 1-1.5 V with a significant increase in conductivity, making it a cost-effective and scalable
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Due to their tunable bandgaps and strong spin-valley locking, transition metal dichalcogenides constitute a unique platform for hosting single-photon emitters. Here, we present a versatile approach for creating bright single-photon emitters in WSe monolayers by the deposition of gold nanostars. Our molecular dynamics simulations reveal that the formation of the quantum emitters is likely caused by the highly localized strain fields created by the sharp tips of the gold nanostars.

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Defect engineering is important for tailoring the electronic and optical properties of two-dimensional materials, and the capability of generating defects of certain types at specific locations is meaningful for potential applications such as optoelectronics and quantum photonics. In this work, atomic defects are created in single-layer WSe2 using focused ion beam (FIB) irradiation, with defect densities spanning many orders of magnitude. The influences of defects are systematically characterized.

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Semiconducting single-walled carbon nanotubes (SWCNTs) constitute an ideal platform for developing near-infrared biosensors, single photon sources, and nanolasers due to their distinct optical and electrical properties. Covalent doping of SWCNTs has recently been discovered as an efficient approach in enhancing their emission intensities. We perform pump-probe studies of SWCNTs that are covalently doped with quantum defects and reveal strikingly different exciton formation dynamics and decay mechanisms in the presence of the defect sites.

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  • * KSbSe (KSS) is an exceptional material that can transition between two amorphous states and a crystalline state at relatively low temperatures (227 and 263 °C).
  • * These transitions in KSbSe result in different optical and electrical properties, indicating its potential for advanced computing applications, such as multistate logic circuits and reconfigurable devices.
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  • The orientation of exfoliated black phosphorus flakes is identified using electrical measurements by analyzing resistance across multiple contacts.
  • Three resistance measurements help find the resistivity tensor, which shows how the material behaves differently in different directions.
  • The resistivity anisotropy ratio decreases with higher temperature and carrier density, with a maximum of 3.0 at low conditions, and the mobility changes from being affected by impurities at low temperatures to phonon scattering at higher temperatures.
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Hypoxia, which is an important factor that mediates tumor progression and poor treatment response, is particularly associated with tumor chemoresistance. However, the molecular mechanisms underlying hypoxia-induced colorectal cancer chemoresistance remain unclear. The present study aimed to explore the mechanism underlying hypoxia‑induced chemotherapy resistance in LOVO colorectal cancer cells.

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The palette of two-dimensional materials has expanded beyond graphene in recent years to include the chalcogenides among other systems. However, there is a considerable paucity of methods for controlled synthesis of mono- and/or few-layer two-dimensional materials with desirable quality, reproducibility, and generality. Here we show a facile top-down synthesis approach for ultrathin layers of 2D materials down to monolayer.

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