Search Results - "Deep Learning"

Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network by Ho-Kyung Lim, Seok-Ki Jung, Seung-Hyun Kim, Yongwon Cho, In-Seok Song

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Accurate classification of lung nodules on CT images using the TransUnet by Hongfeng Wang, Hai Zhu, Lihua Ding

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Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins by Ho-Min Park, Yunseol Park, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim

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Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

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Deep convolutional neural networks: Outperforming established algorithms in the evaluation of industrial optical coherence tomography (OCT) images of pharmaceutical coatings by Matthias Wolfgang, Michael Weißensteiner, Phillip Clarke, Wen-Kai Hsiao, Johannes G. Khinast

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Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components by Fabio Lopes, Adriana Leal, Julio Medeiros, Mauro F. Pinto, Antonio Dourado, Matthias Dumpelmann, Cesar Teixeira

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DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction by Jie Yang, Yihao Ding, Siqu Long, Josiah Poon, Soyeon Caren Han, Soyeon Caren Han

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Teachers' Designs for Learning Practices when Designing for Students as Learning Designers by Karin Tweddell Levinsen, Birgitte Holm Sørensen

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Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality by Daniela Krepper, Matteo Cesari, Niclas J. Hubel, Philipp Zelger, Monika J. Sztankay

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Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation by Chenxi Tian, Yuliang Ma, Jared Cammon, Feng Fang, Yingchun Zhang, Ming Meng

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VIRTUAL LEARNING ENVIRONMENT AND LEARNING APPROACH AMONG PRE-CLINICAL UNDERGRADUATE MEDICAL STUDENTS DURING COVID-19 PANDEMIC by Fellicia Naurah Andryas, Agneta Irmarahayu, Nurfitri Bustamam

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Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis by Peifu Han, Xue Li, Xun Wang, Shuang Wang, Changnan Gao, Wenqi Chen

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Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks by S. Hashempour, R. Boostani, M. Mohammadi, S. Sanei

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MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction by Haitao Zou, Boya Ji, Meng Zhang, Fen Liu, Xiaolan Xie, Shaoliang Peng

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Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023 by Bo Xie, Dan Xu, Xu-Qiang Zou, Ming-Jie Lu, Xue-Lian Peng, Xiu-Jie Wen

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Automated diagnosis using artificial intelligence a step forward for preventive dentistry: A systematic review by Radu Chifor, Tudor Arsenescu, Laura Monica Dascalu (Rusu), Alexandru Florin Badea

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Artificial intelligence and classification of mature lymphoid neoplasms by Joaquim Carreras, Rifat Hamoudi, Naoya Nakamura

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A Review of Motor Brain-Computer Interfaces Using Intracranial Electroencephalography Based on Surface Electrodes and Depth Electrodes by Xiaolong Wu, Benjamin Metcalfe, Shenghong He, Huiling Tan, Dingguo Zhang

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Artificial Intelligence-Driven Analysis of Antimicrobial-Resistant and Biofilm-Forming Pathogens on Biotic and Abiotic Surfaces by Akanksha Mishra, Nazia Tabassum, Ashish Aggarwal, Young-Mog Kim, Fazlurrahman Khan

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Auditory chaos classification in real-world environments by Priyanka Khante, Edison Thomaz, Kaya de Barbaro

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