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IEEE Transactions on Cybernetics|January 8, 2021
Resilient Asynchronous State Estimation for Markovian Jump Neural Networks Subject to Stochastic Nonlinearities and Sensor SaturationsYong Xu, Zheng-Guang Wu, Ya-Jun Pan, et al.
IEEE Transactions on Cybernetics|July 12, 2018
Hidden-Markov-Model-Based Asynchronous Filter Design of Nonlinear Markov Jump Systems in Continuous-Time DomainShanling Dong, Zheng-Guang Wu, Ya-Jun Pan, et al.
Brain and Behavior|June 26, 2025
A New Measure of Mnemonic Discrimination Applicable to Recognition Memory Tests With Continuous Variation in Novel Stimulus InterferenceSimon Léger, Christian Guinard, Selena Singh, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 23, 2019
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility studyPeter Q Lee, Alessandro Guida, Steve Patterson, et al.
Journal of the American Association for Laboratory Animal Science : JAALAS|July 25, 2022
Single-tube Multiplex Nested PCR System for Efficient Detection of Pathogenic Microorganisms in SPF RodentsWang Jie Xu, Ya Jun Pan, Wei Jie Li, et al.
Journal of Affective Disorders|January 27, 2024
A pilot study examining the impact of lithium treatment and responsiveness on mnemonic discrimination in bipolar disorderDhanyaasri Madanlal, Christian Guinard, Vanessa Pardo Nuñez, et al.
Scientific Data|February 7, 2025
BenthicNet: A global compilation of seafloor images for deep learning applicationsScott C Lowe, Benjamin Misiuk, Isaac Xu, et al.
Translational Psychiatry|January 12, 2021
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorderAbraham Nunes, William Stone, Raffaella Ardau, et al.
Scientific Reports|January 14, 2021
Prediction of lithium response using genomic dataWilliam Stone, Abraham Nunes, Kazufumi Akiyama, et al.
Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.
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