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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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12
Mobile Ad Hoc Networks: Current Status and Future Trends
Mobile Ad Hoc Networks: Current Status and Future Trends
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Mobile Ad Hoc Networks: Current Status and Future Trends

Jonathan Loo, Jaime Lloret Mauri, Jesús Hamilton Ortiz Mauri, Jaime Lloret ; Loo, Jonathan ; Ortiz, Jesús Hamilton

Baton Rouge: CRC Press 2012

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13
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
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CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

You, Chenyu ; Cong, Wenxiang ; Vannier, Michael W. ; Saha, Punam K. ; Hoffman, Eric A. ; Wang, Ge ; Li, Guang ; Zhang, Yi ; Zhang, Xiaoliu ; Shan, Hongming ; Li, Mengzhou ; Ju, Shenghong ; Zhao, Zhen ; Zhang, Zhuiyang

IEEE transactions on medical imaging, 2020-01, Vol.39 (1), p.188-203

United States: IEEE

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14
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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15
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
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Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Zhang, Ling ; Wang, Xiaosong ; Yang, Dong ; Sanford, Thomas ; Harmon, Stephanie ; Turkbey, Baris ; Wood, Bradford J. ; Roth, Holger ; Myronenko, Andriy ; Xu, Daguang ; Xu, Ziyue

IEEE transactions on medical imaging, 2020-07, Vol.39 (7), p.2531-2540

United States: IEEE

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16
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
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Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

Roy, Subhankar ; Menapace, Willi ; Oei, Sebastiaan ; Luijten, Ben ; Fini, Enrico ; Saltori, Cristiano ; Huijben, Iris ; Chennakeshava, Nishith ; Mento, Federico ; Sentelli, Alessandro ; Peschiera, Emanuele ; Trevisan, Riccardo ; Maschietto, Giovanni ; Torri, Elena ; Inchingolo, Riccardo ; Smargiassi, Andrea ; Soldati, Gino ; Rota, Paolo ; Passerini, Andrea ; van Sloun, Ruud J. G ; Ricci, Elisa ; Demi, Libertario

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2676-2687

United States: IEEE

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17
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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18
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Wu, Nan ; Phang, Jason ; Park, Jungkyu ; Shen, Yiqiu ; Huang, Zhe ; Zorin, Masha ; Jastrzebski, Stanislaw ; Fevry, Thibault ; Katsnelson, Joe ; Kim, Eric ; Wolfson, Stacey ; Parikh, Ujas ; Gaddam, Sushma ; Lin, Leng Leng Young ; Ho, Kara ; Weinstein, Joshua D. ; Reig, Beatriu ; Gao, Yiming ; Toth, Hildegard ; Pysarenko, Kristine ; Lewin, Alana ; Lee, Jiyon ; Airola, Krystal ; Mema, Eralda ; Chung, Stephanie ; Hwang, Esther ; Samreen, Naziya ; Kim, S. Gene ; Heacock, Laura ; Moy, Linda ; Cho, Kyunghyun ; Geras, Krzysztof J.

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.1184-1194

United States: IEEE

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19
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Chen, Cheng ; Dou, Qi ; Chen, Hao ; Qin, Jing ; Heng, Pheng Ann

IEEE transactions on medical imaging, 2020-07, Vol.39 (7), p.2494-2505

United States: IEEE

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A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
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A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Wang, Xinggang ; Deng, Xianbo ; Fu, Qing ; Zhou, Qiang ; Feng, Jiapei ; Ma, Hui ; Liu, Wenyu ; Zheng, Chuansheng

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2615-2625

United States: IEEE

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