Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation. - Joseph M. Reinhardt; Gary E. Christensen; Eric A. Hoffman; Kai Ding 003; Kunlin Cao (IPMI, 2007)

Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. - Joseph M. Reinhardt; Kai Ding 003; Kunlin Cao; Gary E. Christensen; Eric A. Hoffman; Shalmali V. Bodas (Medical Image Anal., 2008)

Evaluation of Lobar Biomechanics during Respiration Using Image Registration. - Kai Ding 003; Youbing Yin; Kunlin Cao; Gary E. Christensen; Ching-Long Lin; Eric A. Hoffman; Joseph M. Reinhardt (MICCAI (1), 2009)

Tissue volume and vesselness measure preserving nonrigid registration of lung CT images. - Kunlin Cao; Kai Ding 003; Gary E. Christensen; Joseph M. Reinhardt (Image Processing, 2010)

Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration. - Kunlin Cao; Kai Ding 003; Gary E. Christensen; Madhavan L. Raghavan; Ryan E. Amelon; Joseph M. Reinhardt (WBIR, 2010)

Time-varying lung ventilation analysis of 4DCT using image registration. - Kai Ding 003; Kaifang Du; Kunlin Cao; Gary E. Christensen; Joseph M. Reinhardt (ICASSP, 2011)

Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI. - Kai Ding 003; Wilson Miller; Kunlin Cao; Gary E. Christensen; Joseph M. Reinhardt; Stanley Benedict; Bruce Libby; Ke Sheng (ISBI, 2011)

Registration-based measurement of regional expiration volume ratio using dynamic 4DCT imaging. - Kaifang Du; Kai Ding 003; Kunlin Cao; John E. Bayouth; Gary E. Christensen; Joseph M. Reinhardt (ISBI, 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Volumetric ultrasound and computer-assisted analysis at the point-of-care: A musculoskeletal exemplar. - David M. Mills; Kunlin Cao; Ralf Thiele; Kedar A. Patwardhan (EMBC, 2012)

Automated bone and joint-region segmentation in volumetric ultrasound. - Kedar A. Patwardhan; Kunlin Cao; David M. Mills; Ralf Thiele (ISBI, 2012)

Tracking Regional Tissue Volume and Function Change in Lung Using Image Registration. - Kunlin Cao; Gary E. Christensen; Kai Ding 003; Kaifang Du; Madhavan L. Raghavan; Ryan E. Amelon; Kimberly M. Baker; Eric A. Hoffman; Joseph M. Reinhardt (Int. J. Biomed. Imaging, 2012)

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information. - Kunlin Cao; Kai Ding 003; Joseph M. Reinhardt; Gary E. Christensen (Int. J. Biomed. Imaging, 2012)

Automated catheter detection in volumetric ultrasound. - Kunlin Cao; David M. Mills; Kedar A. Patwardhan (ISBI, 2013)

Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. - Mingqing Chen; Kunlin Cao; Yefeng Zheng 001; R. Alfredo C. Siochi (IEEE Trans. Medical Imaging, 2013)

Robust lumen segmentation in 3D contrast enhanced ultrasound images. - Kunlin Cao; Dirk Ryan Padfield; Aaron Dentinger; Kirk Wallace; David M. Mills (ISBI, 2015)

Improved characterization of molecular phenotypes in breast lesions using 18F-FDG PET image homogeneity. - Kunlin Cao; Roshni Bhagalia; Anup Sood; Edi Brogi; Ingo K. Mellinghoff; Steven M. Larson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Toward Quantitative Assessment of Rheumatoid Arthritis Using Volumetric Ultrasound. - Kunlin Cao; David M. Mills; Ralf G. Thiele; Kedar A. Patwardhan (IEEE Trans. Biomed. Eng., 2016)

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. - Sarfaraz Hussein; Kunlin Cao; Qi Song 001; Ulas Bagci (IPMI, 2017)

TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. - Sarfaraz Hussein; Robert J. Gillies; Kunlin Cao; Qi Song 001; Ulas Bagci (ISBI, 2017)

Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation. - Xuhui Chen; Yi Lu 019; Junjie Bai; Youbing Yin; Kunlin Cao; Yuwei Li; Hanbo Chen; Qi Song 001; Jun Wu (ISBI, 2018)

Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis. - Jiali Liu; Wanyu Li; Ningbo Zhao; Kunlin Cao; Youbing Yin; Qi Song 001; Hanbo Chen; Xuehao Gong (MICCAI (2), 2018)

Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks. - Hao-Yu Yang; Junling Yang; Yue Pan; Kunlin Cao; Qi Song 001; Feng Gao; Youbing Yin (CVPR Workshops, 2019)

DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction. - Zhihui Guo; Junjie Bai; Yi Lu 019; Xin Wang 045; Kunlin Cao; Qi Song 001; Milan Sonka; Youbing Yin (IPMI, 2019)

Residual Attention Based Network for Hand Bone Age Assessment. - Eric Wu; Bin Kong 001; Xin Wang 045; Junjie Bai; Yi Lu 019; Feng Gao; Shaoting Zhang 001; Kunlin Cao; Qi Song 001; Siwei Lyu; Youbing Yin (ISBI, 2019)

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information. - Chaoyang Xia; Xiaojie Li 001; Xin Wang 045; Bin Kong 001; Yucheng Chen 003; Youbing Yin; Kunlin Cao; Qi Song 001; Siwei Lyu; Xi Wu 004 (MICCAI (2), 2019)

ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S). - Chao Luo; Xin Wang 045; Xiaojie Li 001; Yucheng Chen 003; Jiliu Zhou; Kunlin Cao; Qi Song 001; Xi Wu 004; Youbing Yin (SEKE, 2019)

Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning. - Jinrong Hu; Shanhui Sun; Xiaodong Yang; Shuang Zhou 001; Xin Wang 045; Ying Fu 003; Jiliu Zhou; Youbing Yin; Kunlin Cao; Qi Song 001; Xi Wu 004 (IEEE Access, 2019)

Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs. - Dan Wu 002; Xin Wang 045; Junjie Bai; Xiaoyang Xu; Bin Ouyang; Yuwei Li; Heye Zhang; Qi Song 001; Kunlin Cao; Youbing Yin (Int. J. Comput. Assist. Radiol. Surg., 2019)

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. - Bin Kong 001; Xin Wang 045; Junjie Bai; Yi Lu 019; Feng Gao; Kunlin Cao; Qi Song 001; Shaoting Zhang 001; Siwei Lyu; Youbing Yin (CoRR, 2019)

Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network. - Danfeng Guo; Haihua Wei; Pengfei Zhao; Yue Pan; Hao-Yu Yang; Xin Wang 045; Junjie Bai; Kunlin Cao; Qi Song 001; Jun Xia 002; Feng Gao; Youbing Yin (ISBI, 2020)

A Spatiotemporal Agent for Robust Multimodal Registration. - Ziwei Luo; Xin Wang 045; Xi Wu 004; Youbing Yin; Kunlin Cao; Qi Song 001; Jing Hu 009 (IEEE Access, 2020)

Learning tree-structured representation for 3D coronary artery segmentation. - Bin Kong 001; Xin Wang 045; Junjie Bai; Yi Lu 019; Feng Gao; Kunlin Cao; Jun Xia 002; Qi Song 001; Youbing Yin (Comput. Medical Imaging Graph., 2020)

One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed. - Sheng Li; Guizhi Zhang; Youbing Yin; Qiuxia Xie; Xinyu Guo; Kunlin Cao; Qi Song 001; Jian Guan; Xuhui Zhou (Comput. Medical Imaging Graph., 2021)

End-to-end multimodal image registration via reinforcement learning. - Jing Hu 009; Ziwei Luo; Xin Wang 045; Shanhui Sun; Youbing Yin; Kunlin Cao; Qi Song 001; Siwei Lyu; Xi Wu 004 (Medical Image Anal., 2021)

Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN. - Bin Kong 001; Xin Wang 045; Yi Lu 019; Hao-Yu Yang; Kunlin Cao; Qi Song 001; Youbing Yin (MIUA, 2022)

DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation. - Xiaojie Li 001; Mingxuan Tang; Feng Guo; Yuanxi Li; Kunlin Cao; Qi Song 001; Xi Wu 004; Shanhui Sun; Jiliu Zhou (IET Image Process., 2022)

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. - Cong Chen; Shouyang Dong; Ye Tian; Kunlin Cao; Li Liu 002; Yuanhao Guo (IEEE Trans. Multim., 2022)

Pluralistic Face Inpainting With Transformation of Attribute Information. - Yang Zhang; Xian Zhang 008; Canghong Shi; Xi Wu 004; Xiaojie Li 001; Jing Peng 003; Kunlin Cao; Jiancheng Lv 001; Jiliu Zhou (IEEE Trans. Multim., 2023)

Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. - Zhenghan Fang; Junjie Bai; Xinyu Guo; Xin Wang 045; Feng Gao; Hao-Yu Yang; Bin Kong 001; Ying Hou; Kunlin Cao; Qi Song 001; Jun Xia 002; Youbing Yin (IEEE Trans. Artif. Intell., 2023)

A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation. - Mujun An; Junhuan Li; Xiaoyang Xu; Uwe Joseph Schoepf; Rock H. Savage; Kunlin Cao; Qi Song 001; Zeying Wang; Zhi Liu 004; Yuwei Li; Pengfei Zhang 017 (Medical Biol. Eng. Comput., 2023)