| Spectral entropy can predict changes of working memory performance reduced by short-time training in the delayed-match-to-sample task Y Tian, H Zhang, W Xu, H Zhang, L Yang, S Zheng, Y Shi Frontiers in human neuroscience 11, 437, 2017 | 64 | 2017 |
| A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening H Liu, Y Chen, Y Zhang, L Wang, R Luo, H Wu, C Wu, H Zhang, W Tan, ... European Radiology 31, 5902-5912, 2021 | 41 | 2021 |
| Deep network for the automatic segmentation and quantification of intracranial hemorrhage on CT J Xu, R Zhang, Z Zhou, C Wu, Q Gong, H Zhang, S Wu, G Wu, Y Deng, ... Frontiers in neuroscience 14, 541817, 2021 | 35 | 2021 |
| Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer W Zhang, Z Huang, J Zhao, D He, M Li, H Yin, S Tian, H Zhang, B Song Annals of Translational Medicine 9 (2), 2021 | 30 | 2021 |
| Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework K Yang, J Liu, W Tang, H Zhang, R Zhang, J Gu, R Zhu, J Xiong, X Ru, ... European journal of radiology 129, 109013, 2020 | 25 | 2020 |
| Classification for single-trial N170 during responding to facial picture with emotion Y Tian, H Zhang, Y Pang, J Lin Frontiers in computational neuroscience 12, 68, 2018 | 23 | 2018 |
| Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables L Fan, J Li, H Zhang, H Yin, R Zhang, J Zhang, X Chen Abdominal Radiology 47 (4), 1209-1222, 2022 | 22 | 2022 |
| The scalp time-varying networks of N170: reference, latency, and information flow Y Tian, W Xu, H Zhang, KY Tam, H Zhang, L Yang, Z Li, Y Pang Frontiers in Neuroscience 12, 250, 2018 | 22 | 2018 |
| A fusion feature for enhancing the performance of classification in working memory load with single-trial detection Y Tian, H Zhang, Y Jiang, P Li, Y Li IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (10 …, 2019 | 14 | 2019 |
| A deep learning model based on MRI and clinical factors facilitates noninvasive evaluation of KRAS mutation in rectal cancer H Liu, H Yin, J Li, X Dong, H Zheng, T Zhang, Q Yin, Z Zhang, M Lu, ... Journal of Magnetic Resonance Imaging 56 (6), 1659-1668, 2022 | 10 | 2022 |
| Research on differential brain networks before and after WM training under different frequency band oscillations Y Tian, H Zhou, H Zhang, T Li Neural Plasticity 2021, 2021 | 10 | 2021 |
| A complementary method of PCC for the construction of scalp resting-state EEG connectome: Maximum information coefficient Y Tian, H Zhang, P Li, Y Li IEEE Access 7, 27146-27154, 2019 | 10 | 2019 |
| Multiphase dual-energy spectral CT-based deep learning method for the noninvasive prediction of head and neck lymph nodes metastasis in patients with papillary thyroid cancer D Jin, X Ni, X Zhang, H Yin, H Zhang, L Xu, R Wang, G Fan Frontiers in Oncology 12, 869895, 2022 | 7 | 2022 |
| Comparison of MRI and CTBased Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer J Li, H Zhang, H Yin, H Zhang, Y Wang, S Xu, F Ma, J Gao, H Li, J Qu Journal of Magnetic Resonance Imaging 58 (3), 907-923, 2023 | 6 | 2023 |
| Predictors for drug effects with brain disease: Shed new light from EEG parameters to brain connectomics Y Tian, L Yang, W Xu, H Zhang, Z Wang, H Zhang, S Zheng, Y Shi, P Xu European Journal of Pharmaceutical Sciences 110, 26-36, 2017 | 6 | 2017 |
| Novel radiomics-clinical model for the noninvasive prediction of new fractures after vertebral augmentation J Liu, J Tang, B Xia, Z Gu, H Yin, H Zhang, H Yang, B Song Academic Radiology 30 (6), 1092-1100, 2023 | 5 | 2023 |
| Deep learning models for severity prediction of acute pancreatitis in the early phase from abdominal nonenhanced computed tomography images Z Chen, Y Wang, H Zhang, H Yin, C Hu, Z Huang, Q Tan, B Song, L Deng, ... Pancreas 52 (1), e45-e53, 2023 | 2 | 2023 |
| Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features Y Jin, H Yin, H Zhang, Y Wang, S Liu, L Yang, B Song Insights into Imaging 14 (1), 221, 2023 | 1 | 2023 |
| Analysis of Different Encoder-decoder-based Approaches for Biomedical Imaging Segmentation R Zhang, R Zhang, J Ma, H Zhang Proceedings of the 6th International Conference on Robotics and Artificial …, 2020 | 1 | 2020 |
| Time-Varying Scalp EEG Network Patterns for Music Tempo Perception W Xu, Y Tian, H Zhang, H Zhang, Z Wang, L Yang, S Zheng, Y Shi, ... Advances in Cognitive Neurodynamics (VI) Proceedings of the Sixth …, 2018 | 1 | 2018 |
Rongguo ZhangAcademy for Multidisciplinary Studies, Capital Normal University在 cnu.edu.cn 的电子邮件经过验证
