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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
Published 2025“…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …”
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How effective are synthetic attack models to detect real-world energy theft?
Published 2025Subjects: -
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Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain
Published 2025Subjects: -
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Hydrogen Sulfide (H<sub>2</sub>S) Sensor: A Concept of Physical Versus Virtual Sensing
Published 2021Subjects: -
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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography
Published 2025“…We introduce a state-of-the-art computer vision pipeline, built on deep learning architectures, for segmenting and classifying individual microcrystals from SEM images. …”