| 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 | 117 | 2019 |
| Hippocampal shape modeling based on a progressive template surface deformation and its verification J Kim, MC Valdes-Hernandez, NA Royle, J Park IEEE transactions on medical imaging 34 (6), 1242-1261, 2014 | 32 | 2014 |
| Elastic exponential linear units for convolutional neural networks D Kim, J Kim, J Kim Neurocomputing 406, 253-266, 2020 | 31 | 2020 |
| Artificial intelligence in breast ultrasonography J Kim, HJ Kim, C Kim, WH Kim Ultrasonography 40 (2), 183, 2021 | 29 | 2021 |
| Longitudinal prediction of infant diffusion MRI data via graph convolutional adversarial networks Y Hong, J Kim, G Chen, W Lin, PT Yap, D Shen IEEE transactions on medical imaging 38 (12), 2717-2725, 2019 | 22 | 2019 |
| Siamese U-Net with healthy template for accurate segmentation of intracranial hemorrhage D Kwon, J Ahn, J Kim, I Choi, S Jeong, YS Lee, J Park, M Lee Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 19 | 2019 |
| Accuracy of portable face-scanning devices for obtaining three-dimensional face models: a systematic review and meta-analysis HN Mai, J Kim, YH Choi, DH Lee International Journal of Environmental Research and Public Health 18 (1), 94, 2021 | 18 | 2021 |
| Improved U-Net: Fully convolutional network model for skin-lesion segmentation K Sanjar, O Bekhzod, J Kim, J Kim, A Paul, J Kim Applied Sciences 10 (10), 3658, 2020 | 17 | 2020 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II D Shen, T Liu, TM Peters, LH Staib, C Essert, S Zhou, PT Yap, A Khan Springer Nature, 2019 | 17 | 2019 |
| Organ shape modeling based on the laplacian deformation framework for surface-based morphometry studies J Kim, JA Park Journal of Computing Science and Engineering 6 (3), 219-226, 2012 | 16 | 2012 |
| Estimating tissue microstructure with undersampled diffusion data via graph convolutional neural networks G Chen, Y Hong, Y Zhang, J Kim, KM Huynh, J Ma, W Lin, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
| Weakly-supervised deep learning for ultrasound diagnosis of breast cancer J Kim, HJ Kim, C Kim, JH Lee, KW Kim, YM Park, HW Kim, SY Ki, YM Kim, ... Scientific Reports 11 (1), 24382, 2021 | 12 | 2021 |
| Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods DI Cha, MW Lee, AY Kim, TW Kang, YT Oh, JY Jeong, JW Chang, J Ryu, ... Acta Radiologica 58 (11), 1349-1357, 2017 | 12 | 2017 |
| Automatic registration between real-time ultrasonography and pre-procedural magnetic resonance images: a prospective comparison between two registration methods by liver … AY Kim, MW Lee, DI Cha, HK Lim, YT Oh, JY Jeong, JW Chang, J Ryu, ... Ultrasound in medicine & biology 42 (7), 1627-1636, 2016 | 12 | 2016 |
| Wave-tracking in the surf zone using coastal video imagery with deep neural networks J Kim, J Kim, T Kim, D Huh, S Caires Atmosphere 11 (3), 304, 2020 | 11 | 2020 |
| A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions DI Cha, MW Lee, KD Song, YT Oh, JY Jeong, JW Chang, J Ryu, KJ Lee, ... Abdominal Radiology 42, 1799-1808, 2017 | 11 | 2017 |
| Graph-constrained sparse construction of longitudinal diffusion-weighted infant atlases J Kim, G Chen, W Lin, PT Yap, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 11 | 2017 |
| Quantitative measurement method for possible rib fractures in chest radiographs J Kim, S Kim, YJ Kim, KG Kim, J Park Healthcare Informatics Research 19 (3), 196-204, 2013 | 11 | 2013 |
| Associations between hippocampal morphology, diffusion characteristics, and salivary cortisol in older men SR Cox, MCV Hernández, J Kim, NA Royle, SE MacPherson, ... Psychoneuroendocrinology 78, 151-158, 2017 | 10 | 2017 |
| A case study of quantizing convolutional neural networks for fast disease diagnosis on portable medical devices M Garifulla, J Shin, C Kim, WH Kim, HJ Kim, J Kim, S Hong Sensors 22 (1), 219, 2021 | 9 | 2021 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
