Search Results - "Autoencoder"

ICVAE: Interpretable Conditional Variational Autoencoder for De Novo Molecular Design.

Fan X; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China., Fang S; Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China., Li Z; Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.; State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China., Ji H; Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China., Yue M; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China., Li J; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China., Ren X; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China.

Journal Article , 2025

scAMZI: attention-based deep autoencoder with zero-inflated layer for clustering scRNA-seq data.

Yuan L; Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Provincial Key Laboratory of Industrial Network and Information System Security, Shandong Fundamental Research Center for Computer Science, 3501 Daxue Road, Jinan, 250353, China., Xu Z; Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Provincial Key Laboratory of Industrial Network and Information System Security, Shandong Fundamental Research Center for Computer Science, 3501 Daxue Road, Jinan, 250353, China., Meng B; Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Jinan, 250353, China.; Shandong Provincial Key Laboratory of Industrial Network and Information System Security, Shandong Fundamental Research Center for Computer Science, 3501 Daxue Road, Jinan, 250353, China., Ye L; Cancer Center, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, China. sdeyyelan@email.sdu.edu.cn.

Journal Article , 2025

ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking.

Hsu CY; School of Transportation, Fujian University of Technology, Fuzhou 350118, China., Chang CY; Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan., Chen YC; Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan., Wu J; Kang Chiao International School, Linkou Campus, New Taipei City 244, Taiwan., Chen ST; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan.

Evaluation Study; Journal Article , 2025

NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images.

Wang W; Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai, 200032, China. Electronic address: 22210860059@m.fudan.edu.cn., Jin Z; Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai, 200032, China. Electronic address: 23210860048@m.fudan.edu.cn., Liu X; Eye & ENT Hospital of Fudan University, Shanghai, 200031, China. Electronic address: liuxueli@fudan.edu.cn., Chen X; Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai, 200032, China. Electronic address: chenxinrong@fudan.edu.cn.

Journal Article , 2025

Autoencoder techniques for survival analysis on renal cell carcinoma.

Sanz Ilundain I; Complutense University of Madrid, Madrid, Spain., Hernández-Lorenzo L; Complutense University of Madrid, Madrid, Spain., Rodríguez-Antona C; CSIC/UAM, Madrid, Spain., García-Donas J; HM CIOCC Madrid, Hospital Universitario HM Sanchinarro, HM Hospitales, Madrid, Spain., Ayala JL; Complutense University of Madrid, Madrid, Spain.

Journal Article , 2025

FactVAE: a factorized variational autoencoder for single-cell multi-omics data integration analysis.

Wang L; School of Computer Science and Engineering, Northeastern University, 110819, Shenyang, China., Zhang H; School of Computer Science and Engineering, Northeastern University, 110819, Shenyang, China., Yi B; School of Computer Science and Engineering, Northeastern University, 110819, Shenyang, China., Xie W; School of Computer Science and Engineering, Northeastern University, 110819, Shenyang, China., Yu K; College of Medicine and Bioinformation Engineering, Northeastern University, 110819, Shenyang, China., Li W; Key Laboratory of Intelligent Computing in Medical Image (MIIC), Northeastern University, 110000, Shenyang, China.; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, 110819, Shenyang, China., Li K; Department of Computer Science, State University of New York, Albany, NY 12561, United States., Zhao D; School of Computer Science and Engineering, Northeastern University, 110819, Shenyang, China.

Journal Article , 2025

Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

Qiu M; School of Mathematics and Statistics, Wuhan University of Technology, Wuhan, Hubei, 430070, China., Mao S; School of Mathematics and Statistics, Wuhan University of Technology, Wuhan, Hubei, 430070, China., Zhu J; School of Management, Wuhan University of Technology, Wuhan, Hubei, 430070, China. Electronic address: jbzhu@whut.edu.cn., Yang Y; School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK.

Journal Article , 2025

amVAE: Age-aware multimorbidity clustering using variational autoencoders.

Holm NN; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark. Electronic address: nnho@dtu.dk., Le TM; Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia., Frølich A; Innovation and Research Centre for Multimorbidity, Slagelse Hospital, Slagelse, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Andersen O; Department of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Emergency Department, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark., Juul-Larsen HG; Department of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark., Stockmarr A; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark., Venkatesh S; Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia.

Journal Article , 2025

Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution.

Lomoio U; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Italy. Electronic address: ugo.lomoio@unicz.it., Veltri P; DIMES, University of Calabria, Rende, Italy. Electronic address: pierangelo.veltri@dimes.unical.it., Guzzi PH; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Italy. Electronic address: hguzzi@unicz.it., Liò P; Department of Computer Science and Technology, Cambridge University, Cambridge, United Kingdom. Electronic address: pl219@cam.ac.uk.

Journal Article , 2025

EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks.

Abdi-Sargezeh B; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 2JD, UK., Shirani S; Department of Clinical Neuroscience, King's College London, London WC2R 2LS, UK., Valentin A; Department of Clinical Neuroscience, King's College London, London WC2R 2LS, UK., Alarcon G; School of Medical Sciences, University of Manchester, Manchester M13 9PL, UK., Sanei S; Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.

Journal Article , 2025

Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network.

Zhou L; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China., Peng X; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China., Chen M; School of Computer Science, Hunan Institute of Technology, Hengyang 421002, Hunan, China., He X; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China., Tian G; Geneis (Beijing) Co. Ltd., Beijing 100102, China., Yang J; Geneis (Beijing) Co. Ltd., Beijing 100102, China., Peng L; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China.; College of Life Science and Chemistry, Hunan University of Technology, Zhuzhou 412007, Hunan, China.

Journal Article , 2025

Towards prediction of pseudo-normal SPECT image data using variational autoencoder.

Dudasova K; Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Prague, Czech Republic. katerina.dudasova7@gmail.com.; National Radiation Protection Institute, Prague, Czech Republic. katerina.dudasova7@gmail.com., Trnka J; Department of Medical Physics, General University Hospital in Prague, Prague, Czech Republic.

Journal Article , 2025

Multi-Omics Deep-Learning Prediction of Homologous Recombination Deficiency-Like Phenotype Improved Risk Stratification and Guided Therapeutic Decisions in Gynecological Cancers.

Zhang Y, Yan C, Yang Z, Zhou M, Sun J

Journal Article; Multicenter Study; Validation Study , 2025

transCAE: Enhancing Cell Type Annotation in Single-cell RNA-seq Data with Transfer Learning and Convolutional Autoencoder.

Liu Q; School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China., Xu Y; School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: xuyan@ustb.edu.cn.

Journal Article , 2025

SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases.

Namba S; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawazu, Iizuka, Fukuoka, 820-8502, Japan.; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, Aichi, 464-8601, Japan., Li C; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawazu, Iizuka, Fukuoka, 820-8502, Japan.; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, Aichi, 464-8601, Japan., Yuyama Otani N; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawazu, Iizuka, Fukuoka, 820-8502, Japan.; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, Aichi, 464-8601, Japan., Yamanishi Y; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawazu, Iizuka, Fukuoka, 820-8502, Japan.; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, Aichi, 464-8601, Japan.

Journal Article , 2025

DDINet: Drug-drug interaction prediction network based on multi-molecular fingerprint features and multi-head attention centered weighted autoencoder.

Soni Sharmila K; School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India., Revathi S T; School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India., Sree PK; Department of Computer Science & Engineering, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh 534202, India.

Journal Article , 2025

Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data.

Tian S, Ji C, Ni J, Wang Y, Zheng C

Journal Article , 2024

A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification.

Wang J, Qiao TJ, Zheng CH, Liu JX, Shang JL

Journal Article , 2024

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Wang, Shuo^1,2 (AUTHOR) wang_shuo20@mails.jlu.edu.cn, Liu, Yuanning^1,2 (AUTHOR) liuyn@jlu.edu.cn, Zhang, Hao^1,2 (AUTHOR) zhangh@jlu.edu.cn, Liu, Zhen³ (AUTHOR) liu_zhen@nias.ac.jp

Evaluating statistical consistency for the ocean component of earth system models using physics informed convolutional autoencoder.

Yu, Yangyang¹ (AUTHOR), Zhang, Shaoqing^1,2,3 (AUTHOR) szhang@ouc.edu.cn, Fu, Haohuan^4,5 (AUTHOR) haohuan@tsinghua.edu.cn, Chen, Dexun⁵ (AUTHOR) adch@263.net, Jin, Yishuai¹ (AUTHOR) jinyishuai@ouc.edu.cn, Gao, Yang^3,6 (AUTHOR), Lin, Xiaopei^1,2,3 (AUTHOR), Liu, Zhao^5,7 (AUTHOR), Lv, Xiaojing^5,8 (AUTHOR), Fei, Yunlong¹ (AUTHOR), Wang, Kaidi⁹ (AUTHOR)