| Image analysis by Krawtchouk moments PT Yap, R Paramesran, SH Ong IEEE Transactions on image processing 12 (11), 1367-1377, 2003 | 792 | 2003 |
| Infant brain atlases from neonates to 1-and 2-year-olds F Shi, PT Yap, G Wu, H Jia, JH Gilmore, W Lin, D Shen PloS one 6 (4), e18746, 2011 | 566 | 2011 |
| Identification of MCI individuals using structural and functional connectivity networks CY Wee, PT Yap, D Zhang, K Denny, JN Browndyke, GG Potter, ... Neuroimage 59 (3), 2045-2056, 2012 | 437 | 2012 |
| Two-dimensional polar harmonic transforms for invariant image representation PT Yap, X Jiang, AC Kot IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (7), 1259-1270, 2009 | 336 | 2009 |
| LRTV: MR image super-resolution with low-rank and total variation regularizations F Shi, J Cheng, L Wang, PT Yap, D Shen IEEE transactions on medical imaging 34 (12), 2459-2466, 2015 | 307 | 2015 |
| BIRNet: Brain image registration using dual-supervised fully convolutional networks J Fan, X Cao, PT Yap, D Shen Medical image analysis 54, 193-206, 2019 | 300 | 2019 |
| The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development BR Howell, MA Styner, W Gao, PT Yap, L Wang, K Baluyot, E Yacoub, ... NeuroImage 185, 891-905, 2019 | 293 | 2019 |
| Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns CY Wee, PT Yap, D Shen, Alzheimer's Disease Neuroimaging Initiative Human brain mapping 34 (12), 3411-3425, 2013 | 263 | 2013 |
| Enriched white matter connectivity networks for accurate identification of MCI patients CY Wee, PT Yap, W Li, K Denny, JN Browndyke, GG Potter, ... Neuroimage 54 (3), 1812-1822, 2011 | 240 | 2011 |
| Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images Y Zhou, H Chen, Y Li, Q Liu, X Xu, S Wang, PT Yap, D Shen Medical Image Analysis 70, 101918, 2021 | 232 | 2021 |
| Image analysis using Hahn moments PT Yap, R Paramesran, SH Ong IEEE transactions on pattern analysis and machine intelligence 29 (11), 2057 …, 2007 | 223 | 2007 |
| Development trends of white matter connectivity in the first years of life PT Yap, Y Fan, Y Chen, JH Gilmore, W Lin, D Shen PloS one 6 (9), e24678, 2011 | 211 | 2011 |
| Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification CY Wee, S Yang, PT Yap, D Shen, ... Brain imaging and behavior 10, 342-356, 2016 | 179 | 2016 |
| Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification CY Wee, PT Yap, D Zhang, L Wang, D Shen Brain Structure and Function 219, 641-656, 2014 | 174 | 2014 |
| Image focus measure based on Chebyshev moments PT Yap, P Raveendran IEE Proceedings-Vision, Image and Signal Processing 151 (2), 128-136, 2004 | 168 | 2004 |
| Computational neuroanatomy of baby brains: A review G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ... NeuroImage 185, 906-925, 2019 | 151 | 2019 |
| Anatomical landmark based deep feature representation for MR images in brain disease diagnosis M Liu, J Zhang, D Nie, PT Yap, D Shen IEEE journal of biomedical and health informatics 22 (5), 1476-1485, 2018 | 150 | 2018 |
| Resting-state multi-spectrum functional connectivity networks for identification of MCI patients CY Wee, PT Yap, K Denny, JN Browndyke, GG Potter, KA Welsh-Bohmer, ... PloS one 7 (5), e37828, 2012 | 147 | 2012 |
| Identifying autism spectrum disorder with multi-site fMRI via low-rank domain adaptation M Wang, D Zhang, J Huang, PT Yap, D Shen, M Liu IEEE transactions on medical imaging 39 (3), 644-655, 2019 | 143 | 2019 |
| Adversarial similarity network for evaluating image alignment in deep learning based registration J Fan, X Cao, Z Xue, PT Yap, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 143 | 2018 |
