| 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 (2021), 2021 | 229 | 2021 |
| SimpleClick: Interactive image segmentation with simple vision transformers Q Liu, Z Xu, G Bertasius, M Niethammer ICCV 2023, 2023 | 73 | 2023 |
| PseudoClick: Interactive image segmentation with click imitation Q Liu, M Zheng, B Planche, S Karanam, T Chen, M Niethammer, Z Wu ECCV 2022, 2022 | 40 | 2022 |
| iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images Q Liu, Z Xu, Y Jiao, M Niethammer MICCAI 2022, 2022 | 33 | 2022 |
| 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 (2021), 2021 | 33 | 2021 |
| 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, ... MICCAI 2021 Workshop, 2021 | 25 | 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 (2022), 2022 | 22 | 2022 |
| Multi-class gradient harmonized dice loss with application to knee MR image segmentation Q Liu, X Tang, D Guo, Y Qin, P Jia, Y Zhan, X Zhou, D Wu MICCAI 2019, 2019 | 14 | 2019 |
| Computer Vision–ECCV 2022 Q Liu, M Zheng, B Planche Lecture Notes in Computer Science, 70-89, 2022 | 11 | 2022 |
| Multi-atlas context forests for knee MR image segmentation Q Liu, Q Wang, L Zhang, Y Gao, D Shen MICCAI 2015 Workshop, 2015 | 11 | 2015 |
| 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, ... MICCAI 2021, 2021 | 10 | 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 (2021), 2021 | 8 | 2021 |
| Groupwise registration of brain magnetic resonance images: A review Q Liu, Q Wang Journal of Shanghai Jiao Tong University (Science), 2014 | 8 | 2014 |
| Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery HH Deng, Q Liu, A Chen, T Kuang, P Yuan, J Gateno, D Kim, JC Barber, ... International Journal of Oral and Maxillofacial Surgery (2023), 2023 | 7 | 2023 |
| 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, ... MICCAI 2021, 2021 | 7 | 2021 |
| Bidirectional prediction of facial and bony shapes for orthognathic surgical planning L Ma, C Lian, D Kim, D Xiao, D Wei, Q Liu, T Kuang, M Ghanbari, G Li, ... Medical Image Analysis (2023), 2023 | 6 | 2023 |
| Towards robust active feature acquisition Y Li, S Shan, Q Liu, JB Oliva arXiv preprint arXiv:2107.04163, 2021 | 6 | 2021 |
| Multi-Task convolutional neural network for joint bone age assessment and ossification center detection from hand radiograph M Zhang, D Wu, Q Liu, Q Li, Y Zhan, XS Zhou MICCAI 2019 Workshop, 2019 | 6 | 2019 |
| Skull Segmentation from CBCT Images via Voxel-Based Rendering Q Liu, C Lian, D Xiao, L Ma, H Deng, X Chen, D Shen, PT Yap, JJ Xia MICCAI 2021 Workshop, 2021 | 3 | 2021 |
| Exploring cycle consistency learning in interactive volume segmentation Q Liu, M Zheng, B Planche, Z Gao, T Chen, M Niethammer, Z Wu arXiv preprint arXiv:2303.06493, 2023 | 2 | 2023 |
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel Hill在 med.unc.edu 的电子邮件经过验证
