The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ... Medical Image Analysis 67, 101821, 2021 | 567 | 2021 |
A survey of visual transformers Y Liu, Y Zhang, Y Wang, F Hou, J Yuan, J Tian, Y Zhang, Z Shi, J Fan, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 458 | 2023 |
Double-uncertainty weighted method for semi-supervised learning Y Wang, Y Zhang, J Tian, C Zhong, Z Shi, Y Zhang, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 144 | 2020 |
Modality-aware mutual learning for multi-modal medical image segmentation Y Zhang, J Yang, J Tian, Z Shi, C Zhong, Y Zhang, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 128 | 2021 |
Modality-pairing learning for brain tumor segmentation Y Wang, Y Zhang, F Hou, Y Liu, J Tian, C Zhong, Y Zhang, Z He Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 100 | 2021 |
ACN: adversarial co-training network for brain tumor segmentation with missing modalities Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong, Z Shi, J Fan, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 80 | 2021 |
Does non-covid19 lung lesion help? investigating transferability in covid-19 ct image segmentation Y Wang, Y Zhang, Y Liu, J Tian, C Zhong, Z Shi, Y Zhang, Z He Computer Methods and Programs in Biomedicine, 106004, 2021 | 55 | 2021 |
Automatic couinaud segmentation from CT volumes on liver using GLC-UNet J Tian, L Liu, Z Shi, F Xu International Workshop on Machine Learning in Medical Imaging, 274-282, 2019 | 43 | 2019 |
Surface patch reconstruction from “one-dimensional” tactile data YB Jia, J Tian IEEE Transactions on Automation Science and Engineering 7 (2), 400-407, 2010 | 41 | 2010 |
Surface patch reconstruction via curve sampling YB Jia, L Mi, J Tian Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 40 | 2006 |
Semi-supervised cardiac image segmentation via label propagation and style transfer Y Zhang, J Yang, F Hou, Y Liu, Y Wang, J Tian, C Zhong, Y Zhang, Z He Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 31 | 2021 |
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes Y Zhang, Y Wang, F Hou, J Yang, G Xiong, J Tian, C Zhong arXiv preprint arXiv:1910.02235, 2019 | 30 | 2019 |
Modeling deformations of general parametric shells grasped by a robot hand J Tian, YB Jia IEEE Transactions on Robotics 26 (5), 837-852, 2010 | 27 | 2010 |
Method for encoding a mesh model, encoded mesh model and method for decoding a mesh model K Cai, J Tian, WL Meng US Patent 9,348,860, 2016 | 21 | 2016 |
A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism J Tian, C Li, Z Shi, F Xu International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 20 | 2018 |
On two-finger grasping of deformable planar objects YB Jia, F Guo, J Tian 2011 IEEE international conference on robotics and automation, 5261-5266, 2011 | 20 | 2011 |
Method and apparatus for compressing texture information of three-dimensional (3D) models W Jiang, J Tian, K Cai, T Luo US Patent 9,979,948, 2018 | 19 | 2018 |
Trust it or not: Confidence-guided automatic radiology report generation Y Wang, Z Lin, Z Xu, H Dong, J Luo, J Tian, Z Shi, L Huang, Y Zhang, ... Neurocomputing 578, 127374, 2024 | 16 | 2024 |
Sap-detr: Bridging the gap between salient points and queries-based transformer detector for fast model convergency Y Liu, Y Zhang, Y Wang, Y Zhang, J Tian, Z Shi, J Fan, Z He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
Method and apparatus for processing block to be processed of urine sediment image J Tian, J Xu, ZY Zhang US Patent 10,127,656, 2018 | 15* | 2018 |