Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_16 ◽

2020 ◽

pp. 167-176

Author(s):

Ke Zhang ◽

Xiahai Zhuang

Keyword(s):

Neural Networks ◽

Cardiac Mri ◽

Deep Neural Networks

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Automatic cardiac MRI segmentation and permutation-invariant pathology classification using deep neural networks and point clouds

Neurocomputing ◽

10.1016/j.neucom.2020.08.030 ◽

2020 ◽

Vol 418 ◽

pp. 270-279

Author(s):

Yakun Chang ◽

Cheolkon Jung

Keyword(s):

Neural Networks ◽

Cardiac Mri ◽

Deep Neural Networks ◽

Point Clouds ◽

Mri Segmentation ◽

Pathology Classification

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Automatic Segmentation and Cardiopathy Classification in Cardiac Mri Images Based on Deep Neural Networks

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8461261 ◽

2018 ◽

Author(s):

Yakun Chang ◽

Baoyu Song ◽

Cheolkon Jung ◽

Liyu Huang

Keyword(s):

Neural Networks ◽

Cardiac Mri ◽

Deep Neural Networks ◽

Automatic Segmentation

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Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_5 ◽

2021 ◽

pp. 44-55

Author(s):

Qiaoying Huang ◽

Eric Z. Chen ◽

Hanchao Yu ◽

Yimo Guo ◽

Terrence Chen ◽

...

Keyword(s):

Neural Networks ◽

Cardiac Mri ◽

Deep Neural Networks

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Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

10.32470/ccn.2018.1046-0 ◽

2018 ◽

Author(s):

Alex Hernández-García ◽

Johannes Mehrer ◽

Nikolaus Kriegeskorte ◽

Peter König ◽

Tim C. Kietzmann

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Data Augmentation

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Representation of adversarial images in deep neural networks and the human brain

10.32470/ccn.2018.1066-0 ◽

2018 ◽

Author(s):

Chi Zhang ◽

Xiaohan Duan ◽

Ruyuan Zhang ◽

Li Tong

Keyword(s):

Neural Networks ◽

Human Brain ◽

Deep Neural Networks

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Study on Intelligent Security Camera Systems for the Automated Detection of Nighttime Snatching Incidents using Deep Neural Networks

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.136.727 ◽

2016 ◽

Vol 136 (10) ◽

pp. 727-734 ◽

Author(s):

Itaru Nagayama ◽

Akira Miyahara ◽

Koichi Shimabukuro

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Automated Detection ◽

Camera Systems ◽

Intelligent Security

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Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287739 ◽

2021 ◽

Author(s):

Niccolo Nicodemo ◽

Gaurav Naithani ◽

Konstantinos Drossos ◽

Tuomas Virtanen ◽

Roberto Saletti

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Field Programmable Gate Arrays ◽

Memory Requirement ◽

Gate Arrays ◽

Field Programmable ◽

Programmable Gate Arrays

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The Use of Deep Neural Networks to Predict Post-liver Transplant Mortality

10.26226/morressier.58eb975cd462b80290b4f9e3 ◽

2017 ◽

Author(s):

Brent Ershoff

Keyword(s):

Neural Networks ◽

Liver Transplant ◽

Deep Neural Networks

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Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks

Korean Institute of Smart Media ◽

10.30693/smj.2020.9.4.26 ◽

2020 ◽

Vol 9 (4) ◽

pp. 26-35

Author(s):

Sung Gil Cheon ◽

Ju Hong Lee ◽

Bum Ghi Choi ◽

Jae Won Song

Keyword(s):

Neural Networks ◽

Financial Market ◽

Large Scale ◽

Deep Neural Networks ◽

Exogenous Variables

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Faculty Opinions recommendation of Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726413891.793534418 ◽

2017 ◽

Author(s):

Odelia Schwartz

Keyword(s):

Neural Networks ◽

Object Recognition ◽

Deep Neural Networks ◽

Visual Object ◽

Visual Object Recognition ◽

Cortical Dynamics ◽

Spatio Temporal

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