| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2281 | 2018 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 482 | 2019 |
| Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks T Liu, Q Guo, C Lian, X Ren, S Liang, J Yu, L Niu, W Sun, D Shen Medical image analysis 58, 101555, 2019 | 191 | 2019 |
| Interleaved 3D‐CNN s for joint segmentation of small‐volume structures in head and neck CT images X Ren, L Xiang, D Nie, Y Shao, H Zhang, D Shen, Q Wang Medical physics 45 (5), 2063-2075, 2018 | 156 | 2018 |
| Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph X Ren, T Li, X Yang, S Wang, S Ahmad, L Xiang, SR Stone, L Li, Y Zhan, ... IEEE journal of biomedical and health informatics 23 (5), 2030-2038, 2018 | 130 | 2018 |
| Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ... Frontiers in neuroscience 14, 27, 2020 | 86 | 2020 |
| Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation X Ren, S Ahmad, L Zhang, L Xiang, D Nie, F Yang, Q Wang, D Shen IEEE Transactions on Image Processing 29, 7497-7510, 2020 | 33 | 2020 |
| Can pretreatment 18 F-FDG PET tumor texture features predict the outcomes of osteosarcoma treated by neoadjuvant chemotherapy? QY Song, Hongjun and Jiao, Yining and Wei, Weijun and Ren, Xuhua and Shen ... European radiology 29 (7), 3945--3954, 2019 | 31 | 2019 |
| Quantitative evaluation of subchondral bone microarchitecture in knee osteoarthritis using 3T MRI C Liu, C Liu, X Ren, L Si, H Shen, Q Wang, W Yao BMC musculoskeletal disorders 18, 1-9, 2017 | 24 | 2017 |
| Robust brain magnetic resonance image segmentation for hydrocephalus patients: Hard and soft attention X Ren, J Huo, K Xuan, D Wei, L Zhang, Q Wang 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 385-389, 2020 | 19 | 2020 |
| Semantic instance segmentation with discriminative deep supervision for medical images S Zhou, D Nie, E Adeli, Q Wei, X Ren, X Liu, E Zhu, J Yin, Q Wang, ... Medical Image Analysis 82, 102626, 2022 | 15 | 2022 |
| Brain MR image segmentation in small dataset with adversarial defense and task reorganization X Ren, L Zhang, D Wei, D Shen, Q Wang Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 15 | 2019 |
| Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020 | 13 | 2020 |
| mr nst: Multi-resolution and multi-reference neural style transfer for mammography S Wang, J Huo, X Ouyang, J Che, Z Xue, D Shen, Q Wang, JZ Cheng International Workshop on PRedictive Intelligence In MEdicine, 169-177, 2020 | 8 | 2020 |
| Mask-RCNN for cell instance segmentation X Ren, S Zhou, D Shen, Q Wang IEEE Trans. Med. Imaging, 2020 | 4 | 2020 |
| Morphological simplification of brain MR images by deep learning for facilitating deformable registration D Wei, S Ahmad, Z Wu, X Cao, X Ren, G Li, D Shen, Q Wang Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 3 | 2019 |
| Image fusion network for dual-modal restoration Y Zhang, X Ren, BA Clifford, Q Wang, X Zhang Inverse Problems and Imaging 15 (6), 1409-1419, 2021 | 2 | 2021 |
| Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss X Ren, H Shi, J Li arXiv preprint arXiv:2403.07518, 2024 | | 2024 |
| Ensembles of Multiple Scales, Losses and Models for Segmentation of Brain Area X Ren, D Shen, Q Wang | | |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceGeverifieerd e-mailadres voor shanghaitech.edu.cn