A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods - researchr publication

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Kaiyan Li 0002, Weimin Zhou, Hua Li 0003, Mark A. Anastasio. A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. IEEE Trans. Med. Imaging, 41(5):1114-1124, 2022. [doi]

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