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Akademický článek

Automatic sealing system for goaf along gob-side entry retaining

Autor: NIE Baisheng, XIA Xiaofeng, ZHOU Haowen, QIN Feng

Publikováno v: Gong-kuang zidonghua, Vol 50, Iss 6, Pp 16-22 (2024)

The existing sealing methods for goaf along gob-side entry retaining mainly focus on building sealing walls and sealing wall cracks. The construction period is long and repeated, which consumes a lot of labor costs, has a low degree of automation, an

Externí odkaz: https://doaj.org/article/2569dc494e5043cea855b23982d030f5

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Bottom-up approach to scalable growth of molecules capable of optical cycling

Autor: Lao, Guanming, Khvorost, Taras, Macias, Jr., Antonio, Morgan, Harry W. T., Lavroff, Robert H., Choi, Ryan, Zhou, Haowen, Usvyat, Denis, Zhu, Guo-Zhu, García-Garibay, Miguel A., Alexandrova, Anastassia N., Hudson, Eric R., Campbell, Wesley C.

Gas-phase molecules capable of repeatable, narrow-band spontaneous photon scattering are prized for direct laser cooling and quantum state detection. Recently, large molecules incorporating phenyl rings have been shown to exhibit similar vibrational

Externí odkaz: http://arxiv.org/abs/2411.03199

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Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology

Autor: Siyu, Lin, Zhou, Haowen, Cote, Richard J., Watson, Mark, Govindan, Ramaswamy, Yang, Changhuei

In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle features from large datasets. One complication in

Externí odkaz: http://arxiv.org/abs/2409.08338

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Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution

Autor: Zhao, Shi, Zhou, Haowen, Lin, Siyu, Cao, Ruizhi, Yang, Changhuei

Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such high-quality images that enable detailed visualization of cellul

Externí odkaz: http://arxiv.org/abs/2407.20469

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Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis

Autor: Zhou, Haowen, Steven, Lin, Watson, Mark, Bernadt, Cory T., Zhang, Oumeng, Govindan, Ramaswamy, Cote, Richard J., Yang, Changhuei

Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperforms human pathologists. Increasing sizes and complexity of the DNN archi

Externí odkaz: http://arxiv.org/abs/2406.00555

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Single-shot volumetric fluorescence imaging with neural fields

Autor: Zhang, Oumeng, Zhou, Haowen, Feng, Brandon Y., Larsson, Elin M., Alcalde, Reinaldo E., Yin, Siyuan, Deng, Catherine, Yang, Changhuei

Single-shot volumetric fluorescence (SVF) imaging offers a significant advantage over traditional imaging methods that require scanning across multiple axial planes as it can capture biological processes with high temporal resolution across a large f

Externí odkaz: http://arxiv.org/abs/2405.10463

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FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations

Autor: Zhou, Haowen, Feng, Brandon Y., Guo, Haiyun, Lin, Siyu, Liang, Mingshu, Metzler, Christopher A., Yang, Changhuei

Image stacks provide invaluable 3D information in various biological and pathological imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high-resolution, wide field-of-view image stacks without z-stack scanning, thus

Externí odkaz: http://arxiv.org/abs/2310.18529

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