Rezultati pretrage - "Deep Learning"

Cone-beam CT landmark detection for measuring basal bone width: a retrospective validation study od Juan Dai, Xinge Guo, Hongyuan Zhang, Haoyu Xie, Jiahui Huang, Qiangtai Huang, Bingsheng Huang

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Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning od Yuchang Zhao, Chang Li, Xiang Liu, Ruobing Qian, Rencheng Song, Xun Chen

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Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network od Minji Lee, Hyeokmook Kang, Seong-Hyun Yu, Heeseung Cho, Junhyoung Oh, Glenn van der Lande, Olivia Gosseries, Ji-Hoon Jeong

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A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information od Wei Zhou, Hangyu Zhu, Ning Shen, Hongyu Chen, Cong Fu, Huan Yu, Feng Shu, Chen Chen, Wei Chen

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Tackling stain variability using CycleGAN-based stain augmentation od Nassim Bouteldja, David L. Hölscher, Roman D. Bülow, Ian S.D. Roberts, Rosanna Coppo, Peter Boor

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A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes od Monika Arya, Hanumat Sastry G, Anand Motwani, Sunil Kumar, Atef Zaguia

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A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countries od Sumiko Anno, Tsubasa Hirakawa, Satoru Sugita, Shinya Yasumoto

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FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces od Youngchul Kwak, Woo-Jin Song, Seong-Eun Kim

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Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation od Catalina M. Galvan, Ruben D. Spies, Diego H. Milone, Victoria Peterson

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Toward explainable AI-empowered cognitive health assessment od Abdul Rehman Javed, Abdul Rehman Javed, Habib Ullah Khan, Mohammad Kamel Bader Alomari, Muhammad Usman Sarwar, Muhammad Asim, Ahmad S. Almadhor, Muhammad Zahid Khan

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Extracting Multi-Scale and Salient Features by MSE Based U-Structure and CBAM for Sleep Staging od Zhi Liu, Sixin Luo, Yunhua Lu, Yihao Zhang, Linfeng Jiang, Hanguang Xiao

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A cascading learning method with SegFormer for radiographic measurement of periodontal bone loss od Hanwen Yu, Xin Ye, Wanjing Hong, Rui Shi, Yi Ding, Chengcheng Liu

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Artificial intelligence (AI) for tumor microenvironment (TME) and tumor budding (TB) identification in colorectal cancer (CRC) patients: A systematic review od Olga Andreevna Lobanova, Anastasia Olegovna Kolesnikova, Valeria Aleksandrovna Ponomareva, Ksenia Andreevna Vekhova, Anaida Lusparonovna Shaginyan, Alisa Borisovna Semenova, Dmitry Petrovich Nekhoroshkov, Svetlana Evgenievna Kochetkova, Natalia Valeryevna Kretova, Alexander Sergeevich Zanozin, Maria Alekseevna Peshkova, Natalia Borisovna Serezhnikova, Nikolay Vladimirovich Zharkov, Evgeniya Altarovna Kogan, Alexander Alekseevich Biryukov, Ekaterina Evgenievna Rudenko, Tatiana Alexandrovna Demura

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Editorial: Machine Learning and Wearable Technology in Sleep Medicine od Timo Leppänen, Timo Leppänen, Timo Leppänen, Carolina Varon, Massimiliano de Zambotti, Sami Myllymaa, Sami Myllymaa

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Addendum: Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders od Rim Shayakhmetov, Maksim Kuznetsov, Alexander Zhebrak, Artur Kadurin, Sergey Nikolenko, Sergey Nikolenko, Alexander Aliper, Daniil Polykovskiy

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An emerging paradigms on cervical cancer screening methods and devices for clinical trails od Kumudha Raimond, Gadudasu Babu Rao, Sujitha Juliet, S. Rubeena Grace Tamilarasi, P. S. Evangelin, Limson Mathew

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Editorial: Human-centred computer audition: sound, music, and healthcare od Kun Qian, Kun Qian, Gyorgy Fazekas, Shengchen Li, Zijin Li, Björn W. Schuller, Björn W. Schuller

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Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics od Kun Qian, Liang Zhang, Liang Zhang, Kezhi Li, Juan Liu

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Book Review: Interactive Lecturing: A Handbook for College Faculty od Stephanie B. Cochrane

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Brain-Inspired Computing 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers /

Sadržaj: “…Machine Learning and Deep learning approaches in human brain mapping -- A high-resolution model of the human entorhinal cortex in the 'BigBrain'- use case for machine learning and 3D analyses -- Deep learning-supported cytoarchitectonic mapping of the human lateral geniculate body in the BigBrain -- Brain modelling and simulation -- Computational modelling of cerebellar magnetic stimulation: the effect of washout? …”
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