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Your search keyword '"Zhu, Xiaomei"' showing total 816 results
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816 results on '"Zhu, Xiaomei"'

4. Topology, Vorticity and Limit Cycle in a Stabilized Kuramoto-Sivashinsky Equation

Author

Chen, Yong-Cong, Shi, Chunxiao, Kosterlitz, J. M., Zhu, Xiaomei, and Ao, Ping

Subjects
Nonlinear Sciences - Adaptation and Self-Organizing Systems, Nonlinear Sciences - Pattern Formation and Solitons
Abstract

A noisy stabilized Kuramoto-Sivashinsky equation is analyzed by stochastic decomposition. For values of control parameter for which periodic stationary patterns exist, the dynamics can be decomposed into diffusive and transverse parts which act on a stochastic potential. The relative positions of stationary states in the stochastic global potential landscape can be obtained from the topology spanned by the low-lying eigenmodes which inter-connect them. Numerical simulations confirm the predicted landscape. The transverse component also predicts a universal class of vortex like circulations around fixed points. These drive nonlinear drifting and limit cycle motion of the underlying periodic structure in certain regions of parameter space. Our findings might be relevant in studies of other nonlinear systems such as deep learning neural networks., Comment: Main body: 16 pages, 3 figures; Supplementary: 14 pages, 6 figures

Published
2022
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12. CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images

Author

Wang, Song, He, Yuting, Kong, Youyong, Zhu, Xiaomei, Zhang, Shaobo, Shao, Pengfei, Dillenseger, Jean-Louis, Coatrieux, Jean-Louis, Li, Shuo, and Yang, Guanyu

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and treatment for kidney diseases. However, due to the unclear compartment boundary, thin compartment structure and large anatomy variation of 3D kidney CT images, deep-learning based renal compartment segmentation is a challenging task. We propose a novel weakly supervised learning framework, Cycle Prototype Network, for 3D renal compartment segmentation. It has three innovations: 1) A Cycle Prototype Learning (CPL) is proposed to learn consistency for generalization. It learns from pseudo labels through the forward process and learns consistency regularization through the reverse process. The two processes make the model robust to noise and label-efficient. 2) We propose a Bayes Weakly Supervised Module (BWSM) based on cross-period prior knowledge. It learns prior knowledge from cross-period unlabeled data and perform error correction automatically, thus generates accurate pseudo labels. 3) We present a Fine Decoding Feature Extractor (FDFE) for fine-grained feature extraction. It combines global morphology information and local detail information to obtain feature maps with sharp detail, so the model will achieve fine segmentation on thin structures. Our model achieves Dice of 79.1% and 78.7% with only four labeled images, achieving a significant improvement by about 20% than typical prototype model PANet., Comment: 24th International Conference on Medical Image Computing and Computer Assisted Intervention

Published
2021

21. Single Bolus r-SAK Before Primary PCI for ST-Segment–Elevation Myocardial Infarction

Author

Chen, Pengsheng, Eikelboom, John W., Tan, Chunyue, Zhang, Wenhao, Xu, Yi, Bai, Jianling, Wang, Jun, Wang, Tong, Gong, Xiaoxuan, Liu, Kun, Chen, Xin, Wang, Xiaoyan, Zhu, Li, Zhao, Xin, Yang, Naiquan, Jiang, Jun, Pu, Jun, Zhao, Bo, Chen, Zengguang, Li, Baihong, Wang, Guoyu, Lu, Chuan, Ying, Lianghong, Jiang, Meng, Zhu, Xiaomei, Ma, Jiazheng, Dong, Zhou, Li, Chen, Zong, Jiaxin, Zhang, Fumin, Zhu, Jun, Huang, Jun, Kong, Xiangqing, Yu, Hao, and Li, Chunjian

Published
2024
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38. Resonant confinement of excitonic polariton and ultra-efficient light harvest in artificial photosynthesis

Author

Chen, Yong-Cong, Song, Bo, Leggett, Anthony J., Ao, Ping, and Zhu, Xiaomei

Subjects
Physics - Applied Physics, Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Biological Physics, Quantum Physics
Abstract

We show that in the recent artificial light-harvesting experiment [Angewandte Chemie Intl. Ed. 55, 2759 (2016)] on organic nanocrystals self-assembled from difluoroboron chromophores, the spontaneous emission of an excited pigment should undergo a two-step process. It would first decay to an excitonic polariton confined by cavity resonance via strong photon-exciton coupling. The captive intermediate could then funnel the energy directly to doped acceptors, leading to the observed over 90% transfer efficiency at less than 1/1000 acceptor-donor ratio. Theoretical, parameter-free analyses are in quantitative agreement with the experiment.

Published
2018
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44. Safety and efficacy of risdiplam in patients with type 1 spinal muscular atrophy (FIREFISH part 2): secondary analyses from an open-label trial

Author

Volpe, Joseph J, Posner, John, Kellner, Ulrich, Quinlivan, Rosaline, Gerber, Marianne, Khwaja, Omar, Scalco, Renata S, Seabrook, Timothy, Koch, Armin, Balikova, Irina, Joniau, Inge, Accou, Geraldine, Tahon, Valentine, Wittevrongel, Sylvia, De Vos, Elke, de Holanda Mendonça, Rodrigo, Matsui Jr, Ciro, Fornazieri Darcie, Ana Letícia, Machado, Cleide, Kiyoko Oyamada, Maria, Martini, Joyce, Polido, Graziela, Rodrigues Iannicelli, Juliana, Caires de Oliveira Achili Ferreira, Juliana, Hu, Chaoping, Zhu, Xiaomei, Qian, Chen, Shen, Li, Li, Hui, Shi, Yiyun, Zhou, Shuizhen, Xiao, Ying, Zhou, Zhenxuan, Wang, Sujuan, Sang, Tian, Wei, Cuijie, Dong, Hui, Cao, Yiwen, Wen, Jing, Li, Wenzhu, Qin, Lun, Barisic, Nina, Celovec, Ivan, Galiot Delic, Martina, Ivkic, Petra Kristina, Vukojevic, Nenad, Kern, Ivana, Najdanovic, Boris, Skugor, Marin, Tomas, Josipa, Boespflug-Tanguy, Odile, De Lucia, Silvana, Seferian, Andrea, Barreau, Emmanuel, Mnafek, Nabila, Peche, Helene, Grange, Allison, Trang Nguyen, Diem, Milascevic, Darko, Tachibana, Shotaro, Pagliano, Emanuela, Bianchi Marzoli, Stefania, Santarsiero, Diletta, Garcia Sierra, Myriam, Tremolada, Gemma, Arnoldi, Maria Teresa, Vigano, Marta, Dosi, Claudia, Zanin, Riccardo, Schembri, Veronica, Brolatti, Noemi, Rao, Giuseppe, Tassara, Elisa, Morando, Simone, Tacchetti, Paola, Pedemonte, Marina, Priolo, Enrico, Sposetti, Lorenza, Comi, Giacomo Pietro, Govoni, Alessandra, Osnaghi, Silvia Gabriella, Minorini, Valeria, Abbati, Francesca, Fassini, Federica, Foa, Michaela, Lopopolo, Amalia, Pane, Marika, Palermo, Concetta, Pera, Maria Carmela, Amorelli, Giulia Maria, Barresi, Costanza, D'Amico, Guglielmo, Orazi, Lorenzo, Coratti, Giorgia, Leone, Daniela, Laura, Antonaci, De Sanctis, Roberto, Berti, Beatrice, Kimura, Naoki, Takeshima, Yasuhiro, Shimomura, Hideki, Lee, Tomoko, Gomi, Fumi, Morimatsu, Takanobu, Furukawa, Toru, Stodolska-Koberda, Urszula, Waskowska, Agnieszka, Kolendo, Jagoda, Sobierajska-Rek, Agnieszka, Modrzejewska, Sandra, Lemska, Anna, Melnik, Evgenia, Artemyeva, Svetlana, Leppenen, Natalya, Yupatova, Nataliya, Monakhova, Anastasya, Papina, Yulia, Shidlovsckaia, Olga, Litvinova, Elena, Enzmann, Cornelia, Galiart, Elea, Gugleta, Konstantin, Wondrusch Haschke, Christine, Topaloglu, Haluk, Oncel, Ibrahim, Ertugrul, Nesibe Eroglu, Konuskan, Bahadir, Eldem, Bora, Kadayifçilar, Sibel, Alemdaroglu, Ipek, Sari, Seher, Bilgin, Neslihan, Karaduman, Aynur Ayse, Sarikaya, Fatma Gokcem Yildiz, Graham, Robert J, Ghosh, Partha, Casavant, David, Levine, Alexis, Titus, Rachael, Engelbrekt, Amanda, Ambrosio, Lucia, Fulton, Anne, Baglieri, Anna Maria, Dias, Courtney, Maczek, Elizabeth, Pasternak, Amy, Beres, Shannon, Duong, Tina, Gee, Richard, Young, Sally, Masson, Riccardo, Mazurkiewicz-Bełdzińska, Maria, Rose, Kristy, Servais, Laurent, Xiong, Hui, Zanoteli, Edmar, Baranello, Giovanni, Bruno, Claudio, Day, John W, Deconinck, Nicolas, Klein, Andrea, Mercuri, Eugenio, Vlodavets, Dmitry, Wang, Yi, Dodman, Angela, El-Khairi, Muna, Gorni, Ksenija, Jaber, Birgit, Kletzl, Heidemarie, Gaki, Eleni, Fontoura, Paulo, and Darras, Basil T

Published
2022
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