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686 results on '"CAI Xiaoyu"'

1. Multidimensional Information Fusion Method for Meniscal Tear Classification Based on CNN-SVM

Author

LAI Jiawen, WANG Yuling, CAI Xiaoyu, and ZHOU Lihua

Subjects
meniscal tear, multi kernel learning, multi-view learning, magnetic resonance imaging, deep learning, Electricity and magnetism, QC501-766
Abstract

Aiming to address the problem of low classification accuracy caused by the different shapes of meniscus tears in the computer-aided diagnosis (CAD) system for meniscus, a multidimensional information fusion network (MDIFNet) model for menissus tear classification was proposed. Firstly, a convolutional neural network (CNN) architecture consisting of four sub-networks was used to obtain meniscus feature information from different perspectives and dimensions. Simultaneously, multi-scale attention mechanism was proposed to enrich fine-grained features. Finally, a multi kernel model based on support vector machines (SVM) was constructed as the final classifier. The experimental results on the MRNet dataset show that the proposed method has a meniscal tear classification accuracy of 0.782, which has promotion compared to the existing state-of-the-art meniscus tear classification methods based on deep learning.

Published
2023
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2. Papillary thyroid microcarcinoma should not be used as the basis for postoperative 131I therapy

Author

CAI Xiaoyu, ZHANG Ruiguo, HU Yujing, WANG Renfei, BIAN Yanzhu

Subjects
thyroid tumor, papillary thyroid carcinoma, radiotherapy, iodine radioisotope, treatment outcome, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Surgery, RD1-811
Abstract

Objective To analyze the clinicopathological data of patients with papillary thyroid microcarcinoma (PTMC) and papillary thyroid non-microcarcinoma (non-PTMC) who received 131I therapy retrospectively, and compare the therapeutic response of the two groups of patients, so as to guide 131I therapy decisions for PTMC patients. Methods A total of 1 118 patients with papillary thyroid carcinoma (PTC) underwent 131I therapy in the Department of Nuclear Medicine, Tianjin Medical University General Hospital from January 2015 to December 2020 were enrolled. Chi-square test and Mann-Whitney U test were used to compare the differences of clinicopathological features and 131I therapy， therapeutic response between two groups. The incomplete response （IR）rate curves of the two groups were plotted by Kaplan-Meier analysis.Results The proportion of patients with multifocal, involvement of bilateral thyroid lobes in PTMC group were higher than those in non-PTMC group, and the proportion of patients with extra-thyroid extension, T4, N1b, stimulated thyroglobulin(sTg)>10 μg/L, and high risk stratified were lower than those in non-PTMC group (P0.05). Conclusions PTMC has a certain degree of invasiveness. As long as the patients were comprehensively evaluated and the standard 131I therapy was adopted, the treatment outcomes of patients with PTMC and non-PTMC were roughly the same. Therefore, the clinical value of the definition of PTMC is extremely limited in the formulation of 131I therapeutic dose regimens.

Published
2023
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16. Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly.

Author

Li, Hongjie, Janssens, Jasper, De Waegeneer, Maxime, Kolluru, Sai Saroja, Davie, Kristofer, Gardeux, Vincent, Saelens, Wouter, David, Fabrice PA, Brbić, Maria, Spanier, Katina, Leskovec, Jure, McLaughlin, Colleen N, Xie, Qijing, Jones, Robert C, Brueckner, Katja, Shim, Jiwon, Tattikota, Sudhir Gopal, Schnorrer, Frank, Rust, Katja, Nystul, Todd G, Carvalho-Santos, Zita, Ribeiro, Carlos, Pal, Soumitra, Mahadevaraju, Sharvani, Przytycka, Teresa M, Allen, Aaron M, Goodwin, Stephen F, Berry, Cameron W, Fuller, Margaret T, White-Cooper, Helen, Matunis, Erika L, DiNardo, Stephen, Galenza, Anthony, O'Brien, Lucy Erin, Dow, Julian AT, FCA Consortium§, Jasper, Heinrich, Oliver, Brian, Perrimon, Norbert, Deplancke, Bart, Quake, Stephen R, Luo, Liqun, Aerts, Stein, Agarwal, Devika, Ahmed-Braimah, Yasir, Arbeitman, Michelle, Ariss, Majd M, Augsburger, Jordan, Ayush, Kumar, Baker, Catherine C, Banisch, Torsten, Birker, Katja, Bodmer, Rolf, Bolival, Benjamin, Brantley, Susanna E, Brill, Julie A, Brown, Nora C, Buehner, Norene A, Cai, Xiaoyu Tracy, Cardoso-Figueiredo, Rita, Casares, Fernando, Chang, Amy, Clandinin, Thomas R, Crasta, Sheela, Desplan, Claude, Detweiler, Angela M, Dhakan, Darshan B, Donà, Erika, Engert, Stefanie, Floc'hlay, Swann, George, Nancy, González-Segarra, Amanda J, Groves, Andrew K, Gumbin, Samantha, Guo, Yanmeng, Harris, Devon E, Heifetz, Yael, Holtz, Stephen L, Horns, Felix, Hudry, Bruno, Hung, Ruei-Jiun, Jan, Yuh Nung, Jaszczak, Jacob S, Jefferis, Gregory SXE, Karkanias, Jim, Karr, Timothy L, Katheder, Nadja Sandra, Kezos, James, Kim, Anna A, Kim, Seung K, Kockel, Lutz, Konstantinides, Nikolaos, Kornberg, Thomas B, Krause, Henry M, Labott, Andrew Thomas, Laturney, Meghan, Lehmann, Ruth, Leinwand, Sarah, Li, Jiefu, and Li, Joshua Shing Shun

Subjects
FCA Consortium§, Cell Nucleus, Animals, Drosophila melanogaster, Drosophila Proteins, Transcription Factors, Gene Expression Regulation, Sex Characteristics, Genes, Insect, Databases, Genetic, Female, Male, Gene Regulatory Networks, Single-Cell Analysis, Transcriptome, RNA-Seq, Biotechnology, Genetics, 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, General Science & Technology
Abstract

For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula Drosophilae, that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to >250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the Drosophila community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.

Published
2022

38. Association Analysis of Common and Rare SNVs using Adaptive Fisher Method to Detect Dense and Sparse Signals

Author

Cai, XIaoyu, Chang, Lo-Bin, and Song, Chi

Subjects
Statistics - Methodology
Abstract

The development of next generation sequencing (NGS) technology and genotype imputation methods enabled researchers to measure both common and rare variants in genome-wide association studies (GWAS). Statistical methods have been proposed to test a set of genomic variants together to detect if any of them is associated with the phenotype or disease. In practice, within the set of variants, there is an unknown proportion of variants truly causal or associated with the disease. Because most developed methods are sensitive to either the dense scenario, where a large proportion of the variants are associated, or the sparse scenario, where only a small proportion of the variants are associated, there is a demand of statistical methods with high power in both scenarios. In this paper, we propose a new association test (weighted Adaptive Fisher, wAF) that can adapt to both the dense and sparse scenario by adding weights to the Adaptive Fisher (AF) method we developed before. Using both simulation and the Genetic Analysis Workshop 16 (GAW16) data, we have shown that the new method enjoys comparable or better power to popular methods such as sequence kernel association test (SKAT and SKAT-O) and adaptive SPU (aSPU) test.

Published
2018

39. Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering

Author

Zhao, Hong, Fu, Yao, Jiang, Weihao, Pu, Shiliang, Cai, Xiaoyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gama, João, editor, Li, Tianrui, editor, Yu, Yang, editor, Chen, Enhong, editor, Zheng, Yu, editor, and Teng, Fei, editor

Published
2022
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40. Potential Gene Therapy Options for Early OA

Author

Madry, Henning, Cai, Xiaoyu, Oláh, Tamás, Venkatesan, Jagadeesh K., Cucchiarini, Magali, Lattermann, Christian, editor, Madry, Henning, editor, Nakamura, Norimasa, editor, and Kon, Elizaveta, editor

Published
2022
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