| Augmented reality navigation for liver resection with a stereoscopic laparoscope H Luo, D Yin, S Zhang, D Xiao, B He, F Meng, Y Zhang, W Cai, S He, ... Computer methods and programs in biomedicine 187, 105099, 2020 | 65 | 2020 |
| A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma W Cai, B He, M Hu, W Zhang, D Xiao, H Yu, Q Song, N Xiang, J Yang, ... Surgical oncology 28, 78-85, 2019 | 58 | 2019 |
| Fast and accurate craniomaxillofacial landmark detection via 3D faster R-CNN X Chen, C Lian, HH Deng, T Kuang, HY Lin, D Xiao, J Gateno, D Shen, ... IEEE transactions on medical imaging 40 (12), 3867-3878, 2021 | 37 | 2021 |
| Automatic magnetic resonance image prostate segmentation based on adaptive feature learning probability boosting tree initialization and CNN-ASM refinement B He, D Xiao, Q Hu, F Jia IEEE Access 6, 2005-2015, 2017 | 31 | 2017 |
| Multi-task dynamic transformer network for concurrent bone segmentation and large-scale landmark localization with dental CBCT C Lian, F Wang, HH Deng, L Wang, D Xiao, T Kuang, HY Lin, J Gateno, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 30 | 2020 |
| Estimating reference bony shape models for orthognathic surgical planning using 3D point-cloud deep learning D Xiao, C Lian, H Deng, T Kuang, Q Liu, L Ma, D Kim, Y Lang, X Chen, ... IEEE journal of biomedical and health informatics 25 (8), 2958-2966, 2021 | 27 | 2021 |
| Automatic localization of landmarks in craniomaxillofacial CBCT images using a local attention-based graph convolution network Y Lang, C Lian, D Xiao, H Deng, P Yuan, J Gateno, SGF Shen, DM Alfi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 25 | 2020 |
| SkullEngine: a multi-stage CNN framework for collaborative CBCT image segmentation and landmark detection Q Liu, H Deng, C Lian, X Chen, D Xiao, L Ma, X Chen, T Kuang, J Gateno, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 24 | 2021 |
| Simulation of postoperative facial appearances via geometric deep learning for efficient orthognathic surgical planning L Ma, D Xiao, D Kim, C Lian, T Kuang, Q Liu, H Deng, E Yang, ... IEEE transactions on medical imaging 42 (2), 336-345, 2022 | 17 | 2022 |
| Cross-domain heterogeneous residual network for single image super-resolution L Ji, Q Zhu, Y Zhang, J Yin, R Wei, J Xiao, D Xiao, G Zhao Neural Networks 149, 84-94, 2022 | 17 | 2022 |
| Localization of craniomaxillofacial landmarks on CBCT images using 3D mask R-CNN and local dependency learning Y Lang, C Lian, D Xiao, H Deng, KH Thung, P Yuan, J Gateno, T Kuang, ... IEEE transactions on medical imaging 41 (10), 2856-2866, 2022 | 16 | 2022 |
| Estimating reference shape model for personalized surgical reconstruction of craniomaxillofacial defects D Xiao, C Lian, L Wang, H Deng, HY Lin, KH Thung, J Zhu, P Yuan, ... IEEE Transactions on Biomedical Engineering 68 (2), 362-373, 2020 | 12 | 2020 |
| A Kinect™ camera based navigation system for percutaneous abdominal puncture D Xiao, H Luo, F Jia, Y Zhang, Y Li, X Guo, W Cai, C Fang, Y Fan, ... Physics in Medicine & Biology 61 (15), 5687, 2016 | 12 | 2016 |
| Estimating reference bony shape model for personalized surgical reconstruction of posttraumatic facial defects D Xiao, L Wang, H Deng, KH Thung, J Zhu, P Yuan, YL Rodrigues, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 10 | 2019 |
| Deep simulation of facial appearance changes following craniomaxillofacial bony movements in orthognathic surgical planning L Ma, D Kim, C Lian, D Xiao, T Kuang, Q Liu, Y Lang, HH Deng, J Gateno, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Progressive hand-eye calibration for laparoscopic surgery navigation J Shao, H Luo, D Xiao, Q Hu, F Jia Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures …, 2017 | 9 | 2017 |
| Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations X Meng, J Fan, H Yu, J Mu, Z Li, A Yang, B Liu, K Lv, D Ai, Y Lin, H Song, ... Knowledge-Based Systems 258, 109988, 2022 | 8 | 2022 |
| DLLNet: an attention-based deep learning method for dental landmark localization on high-resolution 3D digital dental models Y Lang, HH Deng, D Xiao, C Lian, T Kuang, J Gateno, PT Yap, JJ Xia Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
| Unsupervised learning of reference bony shapes for orthognathic surgical planning with a surface deformation network D Xiao, H Deng, C Lian, T Kuang, Q Liu, L Ma, Y Lang, X Chen, D Kim, ... Medical physics 48 (12), 7735-7746, 2021 | 6 | 2021 |
| A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning D Xiao, HH Deng, T Kuang, L Ma, Q Liu, X Chen, C Lian, Y Lang, D Kim, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillVerified email at med.unc.edu
