| Deep learning–based detection and segmentation-assisted management of brain metastases J Xue, B Wang, Y Ming, X Liu, Z Jiang, C Wang, X Liu, L Chen, J Qu, S Xu, ... Neuro-Oncology 22 (4), 505-514, 2020 | 95 | 2020 |
| Generative adversarial networks in medical image segmentation: A review S Xun, D Li, H Zhu, M Chen, J Wang, J Li, M Chen, B Wu, H Zhang, ... Computers in Biology and Medicine 140, 105063, 2022 | 80 | 2022 |
| Sam on medical images: A comprehensive study on three prompt modes D Cheng, Z Qin, Z Jiang, S Zhang, Q Lao, K Li arXiv preprint arXiv:2305.00035, 2023 | 69 | 2023 |
| Thyroid nodule segmentation and classification in ultrasound images through intra-and inter-task consistent learning Q Kang, Q Lao, Y Li, Z Jiang, Y Qiu, S Zhang, K Li Medical Image Analysis 79, 102443, 2022 | 32 | 2022 |
| Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis Z Liu, Z Jiang, L Meng, J Yang, Y Liu, Y Zhang, H Peng, J Li, G Xiao, ... Journal of Oncology 2021, 10, 2021 | 30 | 2021 |
| Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features L Bo, Z Zhang, Z Jiang, C Yang, P Huang, T Chen, Y Wang, G Yu, X Tan, ... Frontiers in Medicine 8, 748144, 2021 | 29 | 2021 |
| Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery Z Jiang, B Wang, X Han, P Zhao, M Gao, Y Zhang, P Wei, C Lan, Y Liu, ... European Radiology 32, 2266–2276, 2022 | 28 | 2022 |
| Pre-treatment ADC image-based random forest classifier for identifying resistant rectal adenocarcinoma to neoadjuvant chemoradiotherapy C Yang, ZK Jiang, LH Liu, MS Zeng International Journal of Colorectal Disease 35 (1), 101-107, 2020 | 24 | 2020 |
| CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study Z Jiang, Y Dong, L Yang, Y Lv, S Dong, S Yuan, D Li, L Liu Journal of Digital Imaging 34 (5), 1073-1085, 2021 | 22 | 2021 |
| Application of deep learning to identify ductal carcinoma in situ and microinvasion of the breast using ultrasound imaging M Zhu, Y Pi, Z Jiang, Y Wu, H Bu, J Bao, Y Chen, L Zhao, Y Peng Quantitative Imaging in Medicine and Surgery 12 (9), 4633-4646, 2022 | 19 | 2022 |
| Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions Z Jiang, J Yin, P Han, N Chen, Q Kang, Y Qiu, Y Li, Q Lao, M Sun, D Yang, ... Quantitative Imaging in Medicine and Surgery 12 (10), 4758-4770, 2022 | 18 | 2022 |
| Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer Y Dong, Z Jiang, C Li, S Dong, S Zhang, Y Lv, F Sun, S Liu Quantitative Imaging in Medicine and Surgery 12 (5), 2658-2671, 2022 | 15 | 2022 |
| Towards general purpose medical ai: Continual learning medical foundation model H Yi, Z Qin, Q Lao, W Xu, Z Jiang, D Wang, S Zhang, K Li arXiv preprint arXiv:2303.06580, 2023 | 13 | 2023 |
| Musculoskeletal Ultrasound Image‐Based Radiomics for the Diagnosis of Achilles Tendinopathy in Skiers L Wang, D Wen, Y Yin, P Zhang, W Wen, J Gao, Z Jiang Journal of Ultrasound in Medicine 42 (2), 363-371, 2022 | 13 | 2022 |
| Semi‐supervised classification of fundus images combined with CNN and GCN S Duan, P Huang, M Chen, T Wang, X Sun, M Chen, X Dong, Z Jiang, ... Journal of Applied Clinical Medical Physics, e13746, 2022 | 12 | 2022 |
| Diagnostic accuracy and potential covariates of artificial intelligence for diagnosing orthopedic fractures: a systematic literature review and meta-analysis X Zhang, Y Yang, YW Shen, KR Zhang, Z Jiang, LT Ma, C Ding, BY Wang, ... European Radiology 32 (10), 7196-7216, 2022 | 11 | 2022 |
| Self-supervised anomaly detection, staging and segmentation for retinal images Y Li, Q Lao, Q Kang, Z Jiang, S Du, S Zhang, K Li Medical Image Analysis 87, 102805, 2023 | 8 | 2023 |
| MRI-based pre-Radiomics and delta-Radiomics models accurately predict the post-treatment response of rectal adenocarcinoma to neoadjuvant chemoradiotherapy L Wang, X Wu, H Ma, Z Jiang, W Zhao, G Cui, M Li, Q Hu, X Yu, W Xu Frontiers in Oncology 13, 617, 2023 | 8 | 2023 |
| Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis C Yang, Z Jiang, T Cheng, R Zhou, G Wang, D Jing, L Bo, P Huang, ... Frontiers in Oncology, 1777, 2022 | 8 | 2022 |
| Anatomically guided cross-domain repair and screening for ultrasound fetal biometry J Gao, Q Lao, P Liu, H Yi, Q Kang, Z Jiang, X Wu, K Li, Y Chen, L Zhang IEEE Journal of Biomedical and Health Informatics 27 (10), 4914-4925, 2023 | 7 | 2023 |
Kang LiAssociate Professor, Rutgers University在 rutgers.edu 的电子邮件经过验证
