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Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.

K. Chellamuthu, J. Liu, J. Yao, M. Bagheri, L. Lu, V. Sandfort, and R. Summers. ISBI, page 388-391. IEEE, (2017)

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Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Su

Other publications of authors with the same name

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.K. Wong, R. Summers, E. Kebebew, and J. Yao. IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.J. Liu, S. Wang, M. Linguraru, J. Yao, and R. Summers. Medical Image Anal., 18 (5): 725-739 (2014)Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.K. Wong, R. Summers, E. Kebebew, and J. Yao. Medical Image Anal., 25 (1): 72-85 (2015)Digital image processing and pattern recognition techniques for the detection of cancer.J. Tang, R. Rangayyan, J. Yao, and Y. Yang. Pattern Recognit., 42 (6): 1015-1016 (2009)Demonstration of High-Throughput Building Block and Composition Analysis of Metal-Organic Frameworks.B. Yang, D. Hawley, J. Yao, C. May, J. Mendez-Arroyo, and D. Ess. J. Chem. Inf. Model., 62 (19): 4672-4679 (2022)Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans.U. Bagci, J. Yao, A. Wu, J. Caban, T. Palmore, A. Suffredini, O. Aras, and D. Mollura. IEEE Trans. Biomed. Eng., 59 (6): 1620-1632 (2012)SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.Y. Zhao, X. Su, W. Zhang, S. Mai, Z. Xu, C. Qin, R. Yu, B. He, and J. Yao. Briefings Bioinform., (July 2023)Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.L. Zhang, L. Lu, R. Summers, E. Kebebew, and J. Yao. CoRR, (2018)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.H. Shin, H. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. Summers. CoRR, (2016)Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features.J. Caban, J. Yao, and D. Mollura. J. Digit. Imaging, 25 (4): 550-557 (2012)

BibSonomy

Disambiguation of "Yao, Jianhua"

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Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.

Please choose a person to relate this publication to

Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Su

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yao, Jianhua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.

Please choose a person to relate this publication to

Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Su

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.