Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy von Sankaran, Jagadish, Balasubramanian, Harikrushnan, Tang, Wai Hoh, Ng, Xue Wen, Röllin, Adrian, Wohland, Thorsten

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Deep learning approaches for imaging fluorescence correlation spectroscopy parameter estimation with limited data sets von Wohland, Thorsten, Hoh Tang, Wai, Ren Sim, Shao, Aik, Daniel, Röllin, Adrian

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Deep learning reduces data requirements and allows real-time measurements in imaging FCS von Tang, Wai Hoh, Sim, Shao Ren, Aik, Daniel Ying Kia, Nelanuthala, Ashwin Venkata Subba, Athilingam, Thamarailingam, Röllin, Adrian, Wohland, Thorsten

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FCSNet and ImFCSNet, convolutional neural network approaches to FCS data analysis von Wohland, Thorsten, Hoh Tang, Wai, Ren Sim, Shao, Aik, Daniel Y., Nelanuthala, Ashwin V.S., Röllin, Adrian

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Remote Assessment of Eczema Severity via AI-powered Skin Image Analytics: A Systematic Review von Huang, Leo, Tang, Wai Hoh, Attar, Rahman, Gore, Claudia, Williams, Hywel C., Custovic, Adnan, Tanaka, Reiko J.

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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification von Shen, Qianli, Tang, Wai Hoh, Deng, Zhun, Psaros, Apostolos, Kawaguchi, Kenji

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Model identification for ARMA time series through convolutional neural networks von Tang, Wai Hoh, Röllin, Adrian

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MixupE: Understanding and Improving Mixup from Directional Derivative Perspective von Zou, Yingtian, Verma, Vikas, Mittal, Sarthak, Tang, Wai Hoh, Pham, Hieu, Kannala, Juho, Bengio, Yoshua, Solin, Arno, Kawaguchi, Kenji

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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification von Shen, Qianli, Wai Hoh Tang, Deng, Zhun, Psaros, Apostolos, Kawaguchi, Kenji

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MixupE: Understanding and Improving Mixup from Directional Derivative Perspective von Zou, Yingtian, Verma, Vikas, Mittal, Sarthak, Wai Hoh Tang, Pham, Hieu, Kannala, Juho, Bengio, Yoshua, Solin, Arno, Kawaguchi, Kenji

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