Search Results - "XU Zhuo"

Access to Chiral O,O‐Acetals Enabled by Palladium‐Catalyzed Asymmetric Addition of Oximes to Alkoxyallenes by Xu, Zhuo‐Wei, Wang, Shaozhong

“…Enantiomerically pure acyclic O,O‐acetal compounds (up to 97 % ee) have been accessed through chemo‐, regio‐ and enantioselective palladium‐catalyzed addition…”
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Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction by Cheng, Jing, Cui, Zhuo‐Xu, Zhu, Qingyong, Wang, Haifeng, Zhu, Yanjie, Liang, Dong

“…Purpose To develop a novel deep learning‐based method inheriting the advantages of data distribution prior and end‐to‐end training for accelerating MRI…”
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Learned Low-Rank Priors in Dynamic MR Imaging by Ke, Ziwen, Huang, Wenqi, Cui, Zhuo-Xu, Cheng, Jing, Jia, Sen, Wang, Haifeng, Liu, Xin, Zheng, Hairong, Ying, Leslie, Zhu, Yanjie, Liang, Dong

“…Deep learning methods have achieved attractive performance in dynamic MR cine imaging. However, most of these methods are driven only by the sparse prior of MR…”
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Learning Data Consistency and its Application to Dynamic MR Imaging by Cheng, Jing, Cui, Zhuo-Xu, Huang, Wenqi, Ke, Ziwen, Ying, Leslie, Wang, Haifeng, Zhu, Yanjie, Liang, Dong

“…Magnetic resonance (MR) image reconstruction from undersampled k-space data can be formulated as a minimization problem involving data consistency and image…”
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Phase Transition Control for High Performance Ruddlesden–Popper Perovskite Solar Cells by Zhang, Xu, Munir, Rahim, Xu, Zhuo, Liu, Yucheng, Tsai, Hsinhan, Nie, Wanyi, Li, Jianbo, Niu, Tianqi, Smilgies, Detlef‐M., Kanatzidis, Mercouri G., Mohite, Aditya D., Zhao, Kui, Amassian, Aram, Liu, Shengzhong (Frank)

“…Ruddlesden–Popper reduced‐dimensional hybrid perovskite (RDP) semiconductors have attracted significant attention recently due to their promising stability and…”
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Grain-orientation-engineered multilayer ceramic capacitors for energy storage applications by Li, Jinglei, Shen, Zhonghui, Chen, Xianghua, Yang, Shuai, Zhou, Wenlong, Wang, Mingwen, Wang, Linghang, Kou, Qiangwei, Liu, Yingchun, Li, Qun, Xu, Zhuo, Chang, Yunfei, Zhang, Shujun, Li, Fei

“…Dielectric ceramics are highly desired for electronic systems owing to their fast discharge speed and excellent fatigue resistance. However, the low energy…”
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Annihilation‐Net: Learned annihilation relation for dynamic MR imaging by Cao, Chentao, Cui, Zhuo‐Xu, Zhu, Qingyong, Liu, Congcong, Liang, Dong, Zhu, Yanjie

“…Background Deep learning methods driven by the low‐rank regularization have achieved attractive performance in dynamic magnetic resonance (MR) imaging. The…”
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Ultrahigh piezoelectricity in ferroelectric ceramics by design by Li, Fei, Lin, Dabin, Chen, Zibin, Cheng, Zhenxiang, Wang, Jianli, Li, ChunChun, Xu, Zhuo, Huang, Qianwei, Liao, Xiaozhou, Chen, Long-Qing, Shrout, Thomas R., Zhang, Shujun

“…Piezoelectric materials, which respond mechanically to applied electric field and vice versa, are essential for electromechanical transducers. Previous…”
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Nucleation-controlled growth of superior lead-free perovskite Cs3Bi2I9 single-crystals for high-performance X-ray detection by Zhang, Yunxia, Liu, Yucheng, Xu, Zhuo, Ye, Haochen, Yang, Zhou, You, Jiaxue, Liu, Ming, He, Yihui, Kanatzidis, Mercouri G., Liu, Shengzhong (Frank)

“…The organic-inorganic hybrid lead halide perovskites have emerged as a series of star materials for solar cells, lasers and detectors. However, the issues…”
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The Contributions of Polar Nanoregions to the Dielectric and Piezoelectric Responses in Domain‐Engineered Relaxor‐PbTiO3 Crystals by Li, Fei, Zhang, Shujun, Xu, Zhuo, Chen, Long‐Qing

“…The existence of polar nanoregions is the most important characteristic of relaxor‐based ferroelectric materials. Recently, the contributions of polar…”
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High-Frequency Space Diffusion Model for Accelerated MRI by Cao, Chentao, Cui, Zhuo-Xu, Wang, Yue, Liu, Shaonan, Chen, Taijin, Zheng, Hairong, Liang, Dong, Zhu, Yanjie

“…Diffusion models with continuous stochastic differential equations (SDEs) have shown superior performances in image generation. It can serve as a deep…”
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Ghost Imaging Based on Deep Learning by He, Yuchen, Wang, Gao, Dong, Guoxiang, Zhu, Shitao, Chen, Hui, Zhang, Anxue, Xu, Zhuo

“…Even though ghost imaging (GI), an unconventional imaging method, has received increased attention by researchers during the last decades, imaging speed is…”
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Deep low-Rank plus sparse network for dynamic MR imaging by Huang, Wenqi, Ke, Ziwen, Cui, Zhuo-Xu, Cheng, Jing, Qiu, Zhilang, Jia, Sen, Ying, Leslie, Zhu, Yanjie, Liang, Dong

“…•A model-based unrolled low-rank plus sparse network (L+S-Net) for dynamic MR reconstruction is proposed.•A learned singular value thresholding (LSVT) was…”
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The origin of ultrahigh piezoelectricity in relaxor-ferroelectric solid solution crystals by Li, Fei, Zhang, Shujun, Yang, Tiannan, Xu, Zhuo, Zhang, Nan, Liu, Gang, Wang, Jianjun, Wang, Jianli, Cheng, Zhenxiang, Ye, Zuo-Guang, Luo, Jun, Shrout, Thomas R., Chen, Long-Qing

“…The discovery of ultrahigh piezoelectricity in relaxor-ferroelectric solid solution single crystals is a breakthrough in ferroelectric materials. A key…”
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Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network by Liu, Congcong, Cui, Zhuo‐Xu, Jia, Sen, Cheng, Jing, Cao, Chentao, Guo, Yifan, Zhu, Yanjie, Liang, Dong, Wang, Haifeng

“…Background Wave gradient encoding can adequately utilize coil sensitivity profiles to facilitate higher accelerations in parallel magnetic resonance imaging…”
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Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART) by Liu, Yuanyuan, Liang, Dong, Cui, Zhuo-Xu, Yang, Yuxin, Cao, Chentao, Zhu, Qingyong, Cheng, Jing, Shi, Caiyun, Wang, Haifeng, Zhu, Yanjie

“…Quantitative magnetic resonance (MR) T 1ρ mapping is a promising approach for characterizing intrinsic tissue-dependent information. However, long scan time…”
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Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging by Cui, Zhuo-Xu, Jia, Sen, Cheng, Jing, Zhu, Qingyong, Liu, Yuanyuan, Zhao, Kankan, Ke, Ziwen, Huang, Wenqi, Wang, Haifeng, Zhu, Yanjie, Ying, Leslie, Liang, Dong

“…In recent times, model-driven deep learning has evolved an iterative algorithm into a cascade network by replacing the regularizer's first-order information,…”
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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection by Wang, Wenxin, Cui, Zhuo-Xu, Cheng, Guanxun, Cao, Chentao, Xu, Xi, Liu, Ziwei, Wang, Haifeng, Qi, Yulong, Liang, Dong, Zhu, Yanjie

“…Accuratedetection and segmentation of brain tumors is critical for medical diagnosis. However, current supervised learning methods require extensively…”
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Low-temperature-gradient crystallization for multi-inch high-quality perovskite single crystals for record performance photodetectors by Liu, Yucheng, Zhang, Yunxia, Yang, Zhou, Feng, Jiangshan, Xu, Zhuo, Li, Qingxian, Hu, Mingxin, Ye, Haochen, Zhang, Xu, Liu, Ming, Zhao, Kui, Liu, Shengzhong(Frank)

“…[Display omitted] With their excellent optoelectronic properties, the practical application of single-crystalline organolead halide perovskite materials is now…”
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Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization by Zhu, Qingyong, Cui, Zhuo‐Xu, Liu, Yuanyuan, Cheng, Jing, Zhao, Kankan, Wang, Haifeng, Zhu, Yanjie, Liang, Dong

“…Background Magnetic resonance parameter mapping (MRPM) plays an important role in clinical applications and biomedical researches. However, the acceleration of…”
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