| Training and validation of a deep learning architecture for the automatic analysis of coronary angiography T Du, L Xie, H Zhang, X Liu, X Wang, D Chen, Y Xu, Z Sun, W Zhou, ... EuroIntervention 17 (1), 32-40, 2021 | 32 | 2021 |
| Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation T Du, H Zhang, Y Li, S Pickup, M Rosen, R Zhou, HK Song, Y Fan Medical image analysis 72, 102098, 2021 | 30 | 2021 |
| Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging Reconstruction T Du, Y Zhang, X Shi, S Chen 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 25 | 2020 |
| UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation X Shi, T Du, S Chen, H Zhang, C Guan, B Xu 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 16 | 2020 |
| Form 10-q itemization Y Zhang, T Du, Y Sun, L Donohue, R Dai Proceedings of the 30th ACM International Conference on Information …, 2021 | 15 | 2021 |
| A 3D convolutional encapsulated long short-term memory (3DConv-LSTM) model for denoising fMRI data C Zhao, H Li, Z Jiao, T Du, Y Fan Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 14 | 2020 |
| Real-time Lesion Detection of Cardiac Coronary Artery Using Deep Neural Networks T Du, X Liu, H Zhang, B Xu 2018 International Conference on Network Infrastructure and Digital Content …, 2018 | 13 | 2018 |
| Coronary Artery Vascular Segmentation on Limited Data via Pseudo-Precise Label M Zhai, T Du, R Yang, H Zhang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 11 | 2019 |
| Convolutional Subspace Clustering Network With Block Diagonal Prior J Zhang, CG Li, T Du, H Zhang, J Guo IEEE Access 8, 5723-5732, 2019 | 6 | 2019 |
| Detection and Classification of Chronic Total Occlusion lesions using Deep Learning X Liu, T Du, H Zhang, C Sun 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 6 | 2019 |
| TCT-235 Intelligent Recognition of Coronary Angiography by Deep Learning Technology: A Novel Computer-Aided Diagnostic System T Du, L Xie, X Liu, C Guan, H Zhang, B Xu Journal of the American College of Cardiology 72 (13S), B98-B98, 2018 | 6 | 2018 |
| Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking J Feng, S Pu, K Zhao, H Zhang, T Du 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 2 | 2019 |
| An Algorithm for Image Classification Based on Semantic Transfer Learning T Du, X Wang, J Du, Y Wang Advanced Multimedia and Ubiquitous Engineering, 249-256, 2015 | 2 | 2015 |
| Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging T Du, H Zhang, HK Song, Y Fan arXiv preprint arXiv:2006.01385, 2020 | 1 | 2020 |
| Morphology Reconstruction of Obstructed Coronary Artery in Angiographic Images T Du, X Shi, R Wu, H Zhang, X Song, J Feng, F Sun 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 1 | 2019 |
| Object Detection Based on Exemplar Object Expression Y Wang, X Wang, J Du, T Du Advanced Multimedia and Ubiquitous Engineering: Future Information …, 2015 | 1 | 2015 |
| CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models S Wang, T Du, K Fischer, GE Tasian, J Ziemba, JM Garratt, H Sagreiya, ... arXiv preprint arXiv:2404.07424, 2024 | | 2024 |
| Type Enhanced BERT for Correcting NER Errors K Li, C Chen, T Yang, T Du, P Yu, D Du, F Zhang Findings of the Association for Computational Linguistics: ACL 2023, 7124-7131, 2023 | | 2023 |
| Mining Diverse Clues with Transformers for Person Re-identification X Song, J Feng, T Du, H Zhang Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022 …, 2022 | | 2022 |
| ComLoss: A Novel Loss Towards More Compact Predictions for Pedestrian Detection X Song, J Feng, T Du, H Zhang Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022 …, 2022 | | 2022 |
