Kunlin Cao
According to our database1,
Kunlin Cao
authored at least 41 papers
between 2007 and 2023.
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Bibliography
2023
A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation.
Medical Biol. Eng. Comput., June, 2023
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning.
IEEE Trans. Artif. Intell., April, 2023
IEEE Trans. Multim., 2023
2022
IEEE Trans. Multim., 2022
DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
IET Image Process., 2022
Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
Medical Image Anal., 2021
One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed.
Comput. Medical Imaging Graph., 2021
2020
Comput. Medical Imaging Graph., 2020
Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.
CoRR, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
IEEE Access, 2019
ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
IEEE Trans. Biomed. Eng., 2016
2015
Improved characterization of molecular phenotypes in breast lesions using 18F-FDG PET image homogeneity.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2013
Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images.
IEEE Trans. Medical Imaging, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information.
Int. J. Biomed. Imaging, 2012
Tracking Regional Tissue Volume and Function Change in Lung Using Image Registration.
Int. J. Biomed. Imaging, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Volumetric ultrasound and computer-assisted analysis at the point-of-care: A musculoskeletal exemplar.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Medical Imaging, 2011
Registration-based measurement of regional expiration volume ratio using dynamic 4DCT imaging.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
Tissue volume and vesselness measure preserving nonrigid registration of lung CT images.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.
Medical Image Anal., 2008
2007
Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation.
Proceedings of the Information Processing in Medical Imaging, 2007