Kunlin Cao
Kunlin Cao
GE Global Research Center
Verified email at
Cited by
Cited by
Regarding" artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT"
AMV Dadário, JPQ Paiva, RC Chate, BS Machado, G Szarf
Radiology, 2020
Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, ...
Radiology 296 (2), E65-E71, 2020
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation
JM Reinhardt, K Ding, K Cao, GE Christensen, EA Hoffman, SV Bodas
Medical image analysis 12 (6), 752-763, 2008
Risk stratification of lung nodules using 3D CNN-based multi-task learning
S Hussein, K Cao, Q Song, U Bagci
Information Processing in Medical Imaging: 25th International Conference …, 2017
Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
H Ye, F Gao, Y Yin, D Guo, P Zhao, Y Lu, X Wang, J Bai, K Cao, Q Song, ...
European radiology 29, 6191-6201, 2019
Tumornet: Lung nodule characterization using multi-view convolutional neural network with gaussian process
S Hussein, R Gillies, K Cao, Q Song, U Bagci
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
Three-dimensional characterization of regional lung deformation
R Amelon, K Cao, K Ding, GE Christensen, JM Reinhardt, ML Raghavan
Journal of biomechanics 44 (13), 2489-2495, 2011
Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration
DW Kaczka, K Cao, GE Christensen, JHT Bates, BA Simon
Annals of biomedical engineering 39, 1112-1124, 2011
Comparison of image registration based measures of regional lung ventilation from dynamic spiral CT with Xe‐CT
K Ding, K Cao, MK Fuld, K Du, GE Christensen, EA Hoffman, ...
Medical physics 39 (8), 5084-5098, 2012
Reproducibility of registration‐based measures of lung tissue expansion
K Du, JE Bayouth, K Cao, GE Christensen, K Ding, JM Reinhardt
Medical physics 39 (3), 1595-1608, 2012
Learning tree-structured representation for 3D coronary artery segmentation
B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao, J Xia, Q Song, Y Yin
Computerized Medical Imaging and Graphics 80, 101688, 2020
Evaluation of lobar biomechanics during respiration using image registration
K Ding, Y Yin, K Cao, GE Christensen, CL Lin, EA Hoffman, JM Reinhardt
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
Registration-derived estimates of local lung expansion as surrogates for regional ventilation
JM Reinhardt, GE Christensen, EA Hoffman, K Ding, K Cao
Lecture Notes in Computer Science 4584, 763, 2007
Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs
D Wu, X Wang, J Bai, X Xu, B Ouyang, Y Li, H Zhang, Q Song, K Cao, ...
International journal of computer assisted radiology and surgery 14, 271-280, 2019
Integrate domain knowledge in training CNN for ultrasonography breast cancer diagnosis
J Liu, W Li, N Zhao, K Cao, Y Yin, Q Song, H Chen, X Gong
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Regularized nonrigid registration of lung CT images by preserving tissue volume and vesselness measure
K Cao, K Du, K Ding, JM Reinhardt, GE Christensen
Grand Challenges in Medical Image Analysis, 43-54, 2010
Residual attention based network for hand bone age assessment
E Wu, B Kong, X Wang, J Bai, Y Lu, F Gao, S Zhang, K Cao, Q Song, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Deepcenterline: A multi-task fully convolutional network for centerline extraction
Z Guo, J Bai, Y Lu, X Wang, K Cao, Q Song, M Sonka, Y Yin
Information Processing in Medical Imaging: 26th International Conference …, 2019
A study of noninvasive fractional flow reserve derived from a simplified method based on coronary computed tomography angiography in suspected coronary artery disease
C Shi, D Zhang, K Cao, T Zhang, L Luo, X Liu, H Zhang
BioMedical Engineering OnLine 16 (1), 1-15, 2017
The system can't perform the operation now. Try again later.
Articles 1–20