| Multi-modal vertebrae recognition using transformed deep convolution network Y Cai, M Landis, DT Laidley, A Kornecki, A Lum, S Li Computerized medical imaging and graphics 51, 11-19, 2016 | 111 | 2016 |
| Injury prediction and vulnerability assessment using strain and susceptibility measures of the deep white matter W Zhao, Y Cai, Z Li, S Ji Biomechanics and modeling in mechanobiology 16, 1709-1727, 2017 | 77 | 2017 |
| Multi-modality vertebra recognition in arbitrary views using 3D deformable hierarchical model Y Cai, S Osman, M Sharma, M Landis, S Li IEEE transactions on medical imaging 34 (8), 1676-1693, 2015 | 76 | 2015 |
| Concussion classification via deep learning using whole-brain white matter fiber strains Y Cai, S Wu, W Zhao, Z Li, Z Wu, S Ji PloS one 13 (5), e0197992, 2018 | 39 | 2018 |
| Detecting, grouping, and structure inference for invariant repetitive patterns in images Y Cai, G Baciu IEEE Transactions on Image Processing 22 (6), 2343-2355, 2013 | 23 | 2013 |
| Multi-modality vertebra recognition S Li, Y Cai, S Osman, M Landis, M Sharma US Patent US9401020B1, 2016 | 18 | 2016 |
| Detection of repetitive patterns in near regular texture images Y Cai, G Baciu 2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, 60-65, 2011 | 17 | 2011 |
| On front-end gain invariant modeling for wake word spotting Y Gao, ND Stein, CC Kao, Y Cai, M Sun, T Zhang, S Vitaladevuni arXiv preprint arXiv:2010.06676, 2020 | 12 | 2020 |
| Direct spondylolisthesis identification and measurement in MR/CT using detectors trained by articulated parameterized spine model Y Cai, S Leung, J Warrington, S Pandey, O Shmuilovich, S Li Medical Imaging 2017: Image Processing 10133, 362-369, 2017 | 12 | 2017 |
| Unsupervised freeview groupwise cardiac segmentation using synchronized spectral network Y Cai, A Islam, M Bhaduri, I Chan, S Li IEEE Transactions on Medical imaging 35 (9), 2174-2188, 2016 | 11 | 2016 |
| Automatic geometric rectification for patient registration in image-guided spinal surgery Y Cai, JD Olson, X Fan, LT Evans, KD Paulsen, DW Roberts, SK Mirza, ... Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and …, 2016 | 10 | 2016 |
| Higher level segmentation: Detecting and grouping of invariant repetitive patterns Y Cai, G Baciu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 694-701, 2012 | 10 | 2012 |
| Computational Methods and Clinical Applications for Spine Imaging Y Cai, L Wang, M Audette, G Zheng, S Li Springer, 2020 | 8 | 2020 |
| Translation symmetry detection: A repetitive pattern analysis approach Y Cai, G Baciu Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 8 | 2013 |
| A level-wise spine registration framework to account for large pose changes Y Cai, S Wu, X Fan, J Olson, L Evans, S Lollis, SK Mirza, KD Paulsen, S Ji International journal of computer assisted radiology and surgery 16 (6), 943-953, 2021 | 7 | 2021 |
| Stereovision Co-Registration in image-guided spinal surgery: accuracy assessment using explanted porcine spines L Evans, JD Olson, Y Cai, X Fan, KD Paulsen, DW Roberts, S Ji, SS Lollis Operative Neurosurgery 15 (6), 686-691, 2018 | 6 | 2018 |
| Automatic quantification of mammary glands on non-contrast X-ray CT by using a novel segmentation approach X Zhou, T Kano, Y Cai, S Li, X Zhou, T Hara, R Yokoyama, H Fujita Medical Imaging 2016: Computer-Aided Diagnosis 9785, 505-510, 2016 | 6 | 2016 |
| Unsupervised shape discovery using synchronized spectral networks Y Cai, A Lum, A Mercado, M Landis, J Warrington, S Li Pattern Recognition 69, 39-51, 2017 | 5 | 2017 |
| Combining deep learning networks with permutation tests to predict traumatic brain injury outcome Y Cai, S Ji Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 3 | 2016 |
| A vertebral level-wise data augmentation scheme for segmentation via deep learning S Wu, Y Cai, X Fan, SK Mirza, KD Paulsen, S Ji Medical Imaging 2021: Image Processing 11596, 890-896, 2021 | 2 | 2021 |
Shuo LiCase Western Reserve UniversityVerified email at case.edu
