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Published in 2024 at "Medical Physics"
DOI: 10.1002/mp.16984
Abstract: Given the varying vulnerability of the rostral and caudal regions of the hippocampus to neuropathology in the Alzheimer's disease (AD) continuum, accurately assessing structural changes in these subregions is crucial for early AD detection. The… read more here.
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Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29307
Abstract: To accelerate chemical shift encoded (CSE) water–fat imaging by applying a model‐guided deep learning water–fat separation (MGDL‐WF) framework to the undersampled k‐space data. read more here.
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Published in 2025 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2025.3548665
Abstract: The application of machine learning in underwater acoustics is often limited by the lack of high-quality data. One method to avoid this data issue is to use modeled data to train a machine learning algorithm,… read more here.
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Published in 2024 at "IEEE Journal of Selected Topics in Quantum Electronics"
DOI: 10.1109/jstqe.2024.3350971
Abstract: We consider the reconstruction problem of non-line-of-sight (NLOS) imaging. The proposed diffusion-based method starts with back-projection from NLOS measurement and iteratively estimates the noise using a trained light-weight U-Net and model-guided iterative gradient descent. Unlike… read more here.
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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2961502
Abstract: Endmember extraction (EE) is one important step in hyperspectral unmixing. However, some EE methods under pure-pixel assumption may work badly for highly mixed data due to the complexity of image data. In this work, we… read more here.
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Published in 2023 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3157766
Abstract: The blind facial-image deconvolution problem is ill-posed so that the estimation of latent image and blur kernel is hard to obtain without additional priors or heuristics. Although data-driven methods with deep neural networks have achieved… read more here.
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3213305
Abstract: Deep neural network (DNN)-based synthetic aperture radar (SAR) automatic target recognition (ATR) systems have been shown to be highly vulnerable to adversarial perturbations that are deliberately designed yet almost imperceptible but can bias DNN inference… read more here.
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Published in 2020 at "Journal of Cardiovascular Medicine"
DOI: 10.2459/jcm.0000000000001082
Abstract: Paravalvular leak (PVL) is a common complication of surgical or percutaneous aortic valve replacement. It may cause heart failure, haemolysis or both and has been shown as an independent risk factor for long-term outcome. Over… read more here.