Dr. Le Lu Profile

Dr. Le Lu

at National Institutes of Health Clinical Ctr

SPIE Involvement:

Author

Publications (13)

SPIE Journal Paper | 20 July 2018 Open Access

DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Ke Yan, Xiaosong Wang, Le Lu, Ronald Summers

JMI, Vol. 5, Issue 03, 036501, (July 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.3.036501

KEYWORDS: Mining, Lymphatic system, Medical imaging, Lung, Liver, Picture Archiving and Communication System, Sensors, Computed tomography, Bone, Image processing

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Proceedings Article | 27 February 2018 Paper

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald Summers

Proceedings Volume 10575, 105753B (2018) https://doi.org/10.1117/12.2295972

KEYWORDS: Image segmentation, Computed tomography, 3D modeling, Convolutional neural networks, Chest, Heart, 3D metrology, Performance modeling, Data modeling, Lutetium

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SPIE Journal Paper | 21 August 2017

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Ruida Cheng, Holger Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan McCreedy, Thomas Pohida, Peter Pinto, Peter Choyke, Matthew McAuliffe, Ronald Summers

JMI, Vol. 4, Issue 04, 041302, (August 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.041302

KEYWORDS: Prostate, Image segmentation, Magnetic resonance imaging, Binary data, Magnetism, Performance modeling, 3D modeling, Image enhancement, Image filtering, Edge detection

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Proceedings Article | 3 March 2017 Presentation + Paper

Pelvic artery calcification detection on CT scans using convolutional neural networks

Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald Summers

Proceedings Volume 10134, 101341A (2017) https://doi.org/10.1117/12.2255247

KEYWORDS: Arteries, Computed tomography, Neural networks, Kidney, Machine learning, Convolutional neural networks, Radiology, Image segmentation, Computer aided diagnosis and therapy, Image processing, Network architectures, Lutetium

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Proceedings Article | 24 February 2017 Paper

Automatic MR prostate segmentation by deep learning with holistically-nested networks

Ruida Cheng, Holger Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan McCreedy, Peter Choyke, Ronald Summers, Matthew McAuliffe

Proceedings Volume 10133, 101332H (2017) https://doi.org/10.1117/12.2254558

KEYWORDS: Convolutional neural networks, Prostate, Image segmentation, Magnetic resonance imaging, Neural networks, Machine learning, Pattern recognition, Binary data, 3D image processing, 3D modeling, Image filtering

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Proceedings Article | 24 March 2016 Paper

Deep convolutional networks for automated detection of posterior-element fractures on spine CT

Holger Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph Burns, Ronald Summers

Proceedings Volume 9785, 97850P (2016) https://doi.org/10.1117/12.2217146

KEYWORDS: Spine, Computer-aided diagnosis, Computed tomography, Injuries, Computer aided diagnosis and therapy, Computer aided design, Image segmentation, Probability theory, Image fusion, Machine vision, Computer vision technology, Medical imaging

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Proceedings Article | 24 March 2016 Paper

Colitis detection on abdominal CT scans by rich feature hierarchies

Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald Summers

Proceedings Volume 9785, 97851N (2016) https://doi.org/10.1117/12.2217681

KEYWORDS: Convolutional neural networks, Colon, Computed tomography, Inflammation, Feature extraction, Image segmentation, Computer aided diagnosis and therapy, Image processing, Lutetium, Radiology

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Proceedings Article | 21 March 2016 Paper

Active appearance model and deep learning for more accurate prostate segmentation on MRI

Ruida Cheng, Holger Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan McCreedy, Harsh Agarwal, Peter Choyke, Ronald Summers, Matthew McAuliffe

Proceedings Volume 9784, 97842I (2016) https://doi.org/10.1117/12.2216286

KEYWORDS: Image segmentation, 3D modeling, Prostate, Magnetic resonance imaging, Machine learning, 3D image processing, Pattern recognition, Image analysis, Data modeling, Principal component analysis, Statistical modeling, Cancer

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SPIE Journal Paper | 30 December 2015

Automated segmentation of the thyroid gland on thoracic CT scans by multiatlas label fusion and random forest classification

Divya Narayanan, Jiamin Liu, Lauren Kim, Kevin Chang, Le Lu, Jianhua Yao, Evrim Turkbey, Ronald Summers

JMI, Vol. 2, Issue 04, 044006, (December 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.4.044006

KEYWORDS: Image restoration, Image segmentation, Computed tomography, Image fusion, Image registration, Chest, Tissues, Image analysis, Imaging systems, Detection and tracking algorithms

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Proceedings Article | 20 March 2015 Paper

Deep convolutional networks for pancreas segmentation in CT imaging

Holger Roth, Amal Farag, Le Lu, Evrim Turkbey, Ronald Summers

Proceedings Volume 9413, 94131G (2015) https://doi.org/10.1117/12.2081420

KEYWORDS: Pancreas, Image segmentation, Computed tomography, Computer aided diagnosis and therapy, Tissues, Abdomen, Medical imaging, Gold, Computing systems, Liver

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Proceedings Article | 20 March 2015 Paper

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest

Jiamin Liu, Kevin Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald Summers

Proceedings Volume 9414, 941413 (2015) https://doi.org/10.1117/12.2082204

KEYWORDS: Image segmentation, Computed tomography, Image fusion, Radiotherapy, Image processing algorithms and systems, Detection and tracking algorithms, Image registration, Image classification, Neck, Head

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Proceedings Article | 21 March 2014 Paper

Robust automated lymph node segmentation with random forests

David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald Summers

Proceedings Volume 9034, 90343X (2014) https://doi.org/10.1117/12.2043926

KEYWORDS: Lymphatic system, Image segmentation, Computed tomography, Detection and tracking algorithms, Medical imaging, 3D image processing, Tissues, Feature selection, Receivers, Feature extraction

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Proceedings Article | 18 March 2014 Paper

Multilevel image recognition using discriminative patches and kernel covariance descriptor

Le Lu, Jianhua Yao, Evrim Turkbey, Ronald Summers

Proceedings Volume 9035, 903528 (2014) https://doi.org/10.1117/12.2043692

KEYWORDS: Medical imaging, Computed tomography, Image segmentation, Image classification, Mining, Machine vision, Computer vision technology, Visualization, 3D modeling, Lutetium

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Showing 5 of 13 publications

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