| Identification of patients with acute myocardial infarction based on coronary CT angiography: the value of pericoronary adipose tissue radiomics N Si, K Shi, N Li, X Dong, C Zhu, Y Guo, J Hu, J Cui, F Yang, T Zhang European Radiology 32 (10), 6868-6877, 2022 | 31 | 2022 |
| CalibDNN: multimodal sensor calibration for perception using deep neural networks G Zhao, J Hu, S You, CCJ Kuo Signal Processing, Sensor/Information Fusion, and Target Recognition XXX …, 2021 | 24 | 2021 |
| Performance of radiomics models based on coronary computed tomography angiography in predicting the risk of major adverse cardiovascular events within 3 years: a comparison … H You, R Zhang, J Hu, Y Sun, X Li, J Hou, Y Pei, L Zhao, L Zhang, B Yang Academic Radiology 30 (3), 390-401, 2023 | 12 | 2023 |
| Miniaturized wearable watch antenna for wristband applications Y Jia, L Liu, J Hu, LJ Xu 2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) 1, 1-3, 2019 | 9 | 2019 |
| Diagnostic value of whole-tumor apparent diffusion coefficient map radiomics analysis in predicting early recurrence of solitary hepatocellular carcinoma≤ 5 cm L Wang, B Feng, S Wang, J Hu, M Liang, D Li, S Wang, X Ma, X Zhao Abdominal Radiology 47 (9), 3290-3300, 2022 | 6 | 2022 |
| Prediction of lymph node metastasis in stage T1–2 rectal cancers with MRI-based deep learning L Wan, J Hu, S Chen, R Zhao, W Peng, Y Liu, S Hu, S Zou, S Wang, ... European Radiology 33 (5), 3638-3646, 2023 | 4 | 2023 |
| Evaluation of multimodal semantic segmentation using RGB-D data J Hu, G Zhao, S You, CCJ Kuo Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 2 | 2021 |
| DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features J Hu, Y Yang, X Guo, B Peng, H Huang, T Ma 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| Synergizing In-context Learning Model and SAM in Medical Image Segmentation J Hu, Y Shang, Y Yang, G Xutao, H Peng, T Ma Medical Imaging with Deep Learning, 2024 | | 2024 |
| The Value of LI-RADS and Radiomic Features From MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm B Feng, L Wang, Y Zhu, X Ma, R Cong, W Cai, S Liu, J Hu, S Wang, ... Academic Radiology, 2024 | | 2024 |
| A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation J Hu, Y Yang, X Guo, J Wang, T Ma arXiv preprint arXiv:2310.18087, 2023 | | 2023 |
