Yunliang Cai

发表

Detection of repetitive patterns in near regular texture images

George Baciu, Yunliang Cai, G. Baciu, 2011, 2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis.

Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network

Shuo Li, Ian Chan, Yunliang Cai, 2015, MICCAI.

Computational Methods and Clinical Applications for Spine Imaging 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Guoyan Zheng, Shuo Li, Yunliang Cai, 2019 .

Direct spondylolisthesis identification and measurement in MR/CT using detectors trained by articulated parameterized spine model

Shuo Li, Yunliang Cai, James Warrington, 2017, Medical Imaging.

Concussion classification via deep learning using whole-brain white matter fiber strains

Songbai Ji, Wei Zhao, Yunliang Cai, 2017, PloS one.

Inferring repeated pattern composition in near regular textures

George Baciu, Yunliang Cai, G. Baciu, 2012, 2012 19th IEEE International Conference on Image Processing.

Automatic geometric rectification for patient registration in image-guided spinal surgery

Keith D. Paulsen, Xiaoyao Fan, David W. Roberts, 2016, SPIE Medical Imaging.

Multi-modal vertebrae recognition using Transformed Deep

Shuo Li, Yunliang Cai, Andrea Lum, 2016 .

Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome

Songbai Ji, Yunliang Cai, 2016, BrainLes@MICCAI.

Computational Methods and Clinical Applications for Spine Imaging

Shuo Li, Daniel Belavy, Yunliang Cai, 2018, Lecture Notes in Computer Science.

Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model

Shuo Li, Yunliang Cai, Mark Landis, 2015, IEEE Transactions on Medical Imaging.

Unsupervised shape discovery using synchronized spectral networks

Shuo Li, Yunliang Cai, Andrea Lum, 2017, Pattern Recognit..

Detecting, Grouping, and Structure Inference for Invariant Repetitive Patterns in Images

George Baciu, Yunliang Cai, G. Baciu, 2013, IEEE Transactions on Image Processing.

On Front-end Gain Invariant Modeling for Wake Word Spotting pdf

Tao Zhang, Noah D. Stein, Yixin Gao, 2020, INTERSPEECH.

Translation Symmetry Detection: A Repetitive Pattern Analysis Approach

George Baciu, Yunliang Cai, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Stereovision-updated image guidance in multi-level open spine surgery: short vs. long exposure

Keith D. Paulsen, Xiaoyao Fan, Songbai Ji, 2020, Medical Imaging: Image-Guided Procedures.

Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach

Xiangrong Zhou, Hiroshi Fujita, Xinxin Zhou, 2016, SPIE Medical Imaging.

Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network

Shuo Li, Ian Chan, Yunliang Cai, 2016, IEEE Transactions on Medical Imaging.

The analysis of invariant repetitive patterns in images and videos

Yunliang Cai, Yunliang Cai, 2013 .

Higher level segmentation: Detecting and grouping of invariant repetitive patterns

George Baciu, Yunliang Cai, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-modal vertebrae recognition using Transformed Deep Convolution Network

Shuo Li, Yunliang Cai, Andrea Lum, 2016, Comput. Medical Imaging Graph..

A vertebral level-wise data augmentation scheme for segmentation via deep learning

Keith D. Paulsen, Xiaoyao Fan, Songbai Ji, 2021, Medical Imaging.

A level-wise spine registration framework to account for large pose changes

Keith D. Paulsen, Xiaoyao Fan, Songbai Ji, 2021, International Journal of Computer Assisted Radiology and Surgery.

Injury prediction and vulnerability assessment using strain and susceptibility measures of the deep white matter

Songbai Ji, Yunliang Cai, Wei Zhao, 2017, Biomechanics and modeling in mechanobiology.