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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.

Q. Dou, H. Chen, L. Yu, L. Zhao, J. Qin, D. Wang, V. Mok, L. Shi, and P. Heng. IEEE Trans. Medical Imaging, 35 (5): 1182-1195 (2016)

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Vincent C Müller

Irene C T Loos

Gabriela C t noiu

Franz Mok

Helga Rittersberger-T l ç

Other publications of authors with the same name

Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic.N. Ji, T. Xiang, P. Bonato, N. Lovell, S. Ooi, D. Clifton, M. Akay, X. Ding, B. Yan, V. Mok and 2 other author(s). IEEE J. Biomed. Health Informatics, 25 (4): 903-908 (2021)Tractography atlas-based spatial statistics: Statistical analysis of diffusion tensor image along fiber pathways.D. Wang, Y. Luo, V. Mok, W. Chu, and L. Shi. NeuroImage, (2016)Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis.L. Zhao, Y. Luo, V. Mok, and L. Shi. BMC Medical Imaging, 22 (1): 117 (2022)Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.Q. Dou, H. Chen, L. Yu, L. Shi, D. Wang, V. Mok, and P. Heng. EMBC, page 7933-7936. IEEE, (2015)Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading.P. Sun, D. Wang, V. Mok, and L. Shi. IEEE Access, (2019)Neural evidence for long-term marriage shaping the functional brain network organization between couples.L. Shi, W. Lou, A. Wong, F. Zhang, J. Abrigo, W. Chu, T. Kwok, K. Wong, D. Abbott, D. Wang and 1 other author(s). NeuroImage, (2019)Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.H. Chen, Q. Dou, L. Yu, J. Qin, L. Zhao, V. Mok, D. Wang, L. Shi, and P. Heng. Deep Learning for Medical Image Analysis, Academic Press, (2017)Generation of the Probabilistic Template of Default Mode Network Derived from Resting-State fMRI.D. Wang, Y. Kong, W. Chu, C. Tam, L. Lam, Y. Wang, G. Northoff, V. Mok, Y. Wang, and L. Shi. IEEE Trans. Biomed. Eng., 61 (10): 2550-2555 (2014)An Ensemble Approach for Record Matching in Data Linkage.S. Poon, J. Poon, M. Lam, Q. Yin, D. yuen Sze, J. Wu, V. Mok, J. Ching, K. Chan, W. Cheung and 1 other author(s). HIC, volume 227 of Studies in Health Technology and Informatics, page 113-119. IOS Press, (2016)Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.Q. Dou, H. Chen, L. Yu, L. Zhao, J. Qin, D. Wang, V. Mok, L. Shi, and P. Heng. IEEE Trans. Medical Imaging, 35 (5): 1182-1195 (2016)

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Disambiguation of "Mok, Vincent C. T."

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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.

Please choose a person to relate this publication to

Vincent C Müller

Irene C T Loos

Gabriela C t noiu

Franz Mok

Helga Rittersberger-T l ç

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mok, Vincent C. T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.

Please choose a person to relate this publication to

Vincent C Müller

Irene C T Loos

Gabriela C t noiu

Franz Mok

Helga Rittersberger-T l ç

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.