| Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease B Xiao, N He, Q Wang, Z Cheng, Y Jiao, EM Haacke, F Yan, F Shi NeuroImage: Clinical 24, 102070, 2019 | 48 | 2019 |
| Intracluster structured low-rank matrix analysis method for hyperspectral denoising W Wei, L Zhang, Y Jiao, C Tian, C Wang, Y Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (2), 866-880, 2018 | 38 | 2018 |
| iSegFormer: interactive segmentation via transformers with application to 3D knee MR images Q Liu, Z Xu, Y Jiao, M Niethammer International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 33 | 2022 |
| Can pretreatment 18F-FDG PET tumor texture features predict the outcomes of osteosarcoma treated by neoadjuvant chemotherapy? H Song, Y Jiao, W Wei, X Ren, C Shen, Z Qiu, Q Yang, Q Wang, QY Luo European Radiology 29, 3945-3954, 2019 | 28 | 2019 |
| Imaging-based individualized response prediction of carbon ion radiotherapy for prostate cancer patients S Wu, Y Jiao, Y Zhang, X Ren, P Li, Q Yu, Q Zhang, Q Wang, S Fu Cancer management and research, 9121-9131, 2019 | 21 | 2019 |
| Multiparametric MRI-based radiomics analysis: differentiation of subtypes of cervical cancer in the early stage W Wang, YN Jiao, LC Zhang, C Fu, XL Zhu, Q Wang, Y Gu Acta Radiologica 63 (6), 847-856, 2022 | 12 | 2022 |
| Reducing magnetic resonance image spacing by learning without ground-truth K Xuan, L Si, L Zhang, Z Xue, Y Jiao, W Yao, D Shen, D Wu, Q Wang Pattern Recognition 120, 108103, 2021 | 9 | 2021 |
| Curadiomics: A GPU-based radiomics feature extraction toolkit Y Jiao, OM Ijurra, L Zhang, D Shen, Q Wang Radiomics and Radiogenomics in Neuro-oncology: First International Workshop …, 2020 | 5 | 2020 |
| Reduce slice spacing of mr images by super-resolution learned without ground-truth K Xuan, L Si, L Zhang, Z Xue, Y Jiao, W Yao, D Shen, D Wu, Q Wang arXiv e-prints, arXiv: 2003.12627, 2020 | 3 | 2020 |
| NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Y Jiao, C Zdanski, J Kimbell, A Prince, C Worden, S Kirse, C Rutter, ... ICLR 2024 (Spotlight), 2023 | 2 | 2023 |
| Can radiomics features boost the performance of deep learning upon histology images? MH Obiols, Y Jiao, Q Wang 2019 International Conference on Medical Imaging Physics and Engineering …, 2019 | 2 | 2019 |
| ConvRadiomics: Convolutional Radiomics Feature Extraction Toolkit OM Ijurra, Y Jiao, Q Wang 2019 International Conference on Medical Imaging Physics and Engineering …, 2019 | 2 | 2019 |
| NeuralOCT: Airway OCT Analysis via Neural Fields Y Jiao, A Oldenburg, Y Xu, S Soundararajan, C Zdanski, J Kimbell, ... arXiv preprint arXiv:2403.10622, 2024 | | 2024 |
| : A 3D Neural Additive Model for Interpretable Shape Representation Y Jiao, CJ ZDANSKI, JS Kimbell, A Prince, CP Worden, S Kirse, C Rutter, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| 影像组学特征的快速计算与临床应用 焦伊宁 上海交通大学, 2020 | | 2020 |
| MultImp: Multiomics Generative Models for Data Imputation JE Park, W Mu, Y Jiao, MI Love, M Niethammer, N Stanley | | |
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
