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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System
Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System
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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System

Manogaran, Gunasekaran ; Shakeel, P Mohamed ; Fouad, H ; Nam, Yunyoung ; Baskar, S ; Chilamkurti, Naveen ; Sundarasekar, Revathi

Sensors (Basel, Switzerland), 2019-07, Vol.19 (13), p.3030 [Periódico revisado por pares]

Switzerland: MDPI AG

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Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
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Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Oh, Yujin ; Park, Sangjoon ; Ye, Jong Chul

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2688-2700

United States: IEEE

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3
Data-driven modeling of technology acceptance: A machine learning perspective
Data-driven modeling of technology acceptance: A machine learning perspective
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Data-driven modeling of technology acceptance: A machine learning perspective

Alwabel, Asim Suleman A. ; Zeng, Xiao-Jun

Expert systems with applications, 2021-12, Vol.185, p.115584, Article 115584 [Periódico revisado por pares]

New York: Elsevier Ltd

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100 kW, 10 kHz Medium-Frequency Transformer Design Optimization and Experimental Verification
100 kW, 10 kHz Medium-Frequency Transformer Design Optimization and Experimental Verification
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100 kW, 10 kHz Medium-Frequency Transformer Design Optimization and Experimental Verification

Mogorovic, Marko ; Dujic, Drazen

IEEE transactions on power electronics, 2019-02, Vol.34 (2), p.1696-1708 [Periódico revisado por pares]

New York: IEEE

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5
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
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Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

Fan, Deng-Ping ; Zhou, Tao ; Ji, Ge-Peng ; Zhou, Yi ; Chen, Geng ; Fu, Huazhu ; Shen, Jianbing ; Shao, Ling

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2626-2637

United States: IEEE

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A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images
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A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

Wang, Guotai ; Liu, Xinglong ; Li, Chaoping ; Xu, Zhiyong ; Ruan, Jiugen ; Zhu, Haifeng ; Meng, Tao ; Li, Kang ; Huang, Ning ; Zhang, Shaoting

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2653-2663

United States: IEEE

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7
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
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Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

Leclerc, Sarah ; Smistad, Erik ; Pedrosa, Joao ; Ostvik, Andreas ; Cervenansky, Frederic ; Espinosa, Florian ; Espeland, Torvald ; Berg, Erik Andreas Rye ; Jodoin, Pierre-Marc ; Grenier, Thomas ; Lartizien, Carole ; Dhooge, Jan ; Lovstakken, Lasse ; Bernard, Olivier

IEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2198-2210

United States: IEEE

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8
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Schlemper, Jo ; Caballero, Jose ; Hajnal, Joseph V. ; Price, Anthony N. ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.491-503

United States: IEEE

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9
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
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From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, Peter ; Geessink, Oscar ; Manson, Quirine ; Van Dijk, Marcory ; Balkenhol, Maschenka ; Hermsen, Meyke ; Ehteshami Bejnordi, Babak ; Lee, Byungjae ; Paeng, Kyunghyun ; Zhong, Aoxiao ; Li, Quanzheng ; Zanjani, Farhad Ghazvinian ; Zinger, Svitlana ; Fukuta, Keisuke ; Komura, Daisuke ; Ovtcharov, Vlado ; Cheng, Shenghua ; Zeng, Shaoqun ; Thagaard, Jeppe ; Dahl, Anders B. ; Lin, Huangjing ; Chen, Hao ; Jacobsson, Ludwig ; Hedlund, Martin ; cetin, Melih ; Halici, Eren ; Jackson, Hunter ; Chen, Richard ; Both, Fabian ; Franke, Jorg ; Kusters-Vandevelde, Heidi ; Vreuls, Willem ; Bult, Peter ; van Ginneken, Bram ; van der Laak, Jeroen ; Litjens, Geert

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.550-560

United States: IEEE

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10
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Menze, Bjoern H. ; Jakab, Andras ; Bauer, Stefan ; Kalpathy-Cramer, Jayashree ; Farahani, Keyvan ; Kirby, Justin ; Burren, Yuliya ; Porz, Nicole ; Slotboom, Johannes ; Wiest, Roland ; Lanczi, Levente ; Gerstner, Elizabeth ; Weber, Marc-Andre ; Arbel, Tal ; Avants, Brian B. ; Ayache, Nicholas ; Buendia, Patricia ; Collins, D. Louis ; Cordier, Nicolas ; Corso, Jason J. ; Criminisi, Antonio ; Das, Tilak ; Delingette, Herve ; Demiralp, Cagatay ; Durst, Christopher R. ; Dojat, Michel ; Doyle, Senan ; Festa, Joana ; Forbes, Florence ; Geremia, Ezequiel ; Glocker, Ben ; Golland, Polina ; Xiaotao Guo ; Hamamci, Andac ; Iftekharuddin, Khan M. ; Jena, Raj ; John, Nigel M. ; Konukoglu, Ender ; Lashkari, Danial ; Mariz, Jose Antonio ; Meier, Raphael ; Pereira, Sergio ; Precup, Doina ; Price, Stephen J. ; Riklin Raviv, Tammy ; Reza, Syed M. S. ; Ryan, Michael ; Sarikaya, Duygu ; Schwartz, Lawrence ; Hoo-Chang Shin ; Shotton, Jamie ; Silva, Carlos A. ; Sousa, Nuno ; Subbanna, Nagesh K. ; Szekely, Gabor ; Taylor, Thomas J. ; Thomas, Owen M. ; Tustison, Nicholas J. ; Unal, Gozde ; Vasseur, Flor ; Wintermark, Max ; Dong Hye Ye ; Liang Zhao ; Binsheng Zhao ; Zikic, Darko ; Prastawa, Marcel ; Reyes, Mauricio ; Van Leemput, Koen

IEEE transactions on medical imaging, 2015-10, Vol.34 (10), p.1993-2024

United States: IEEE

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