Xuhua Ren
Xuhua Ren
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
2512018
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
492018
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
182019
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
152018
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), 496, 2017
82017
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
72019
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, 2020
32020
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
32019
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
22020
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
12020
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
X Ren, L Zhang, D Wei, D Shen, Q Wang
International Workshop on Machine Learning in Medical Imaging, 1-8, 2019
12019
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography
S Wang, J Huo, X Ouyang, J Che, X Ren, Z Xue, Q Wang, JZ Cheng
arXiv preprint arXiv:2005.11926, 2020
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
International Workshop on Machine Learning in Medical Imaging, 203-211, 2019
2019
Mask-RCNN for Cell Instance Segmentation
X Ren, S Zhou, D Shen, Q Wang
Ensembles of Multiple Scales, Losses and Models for Segmentation of Brain Area
X Ren, D Shen, Q Wang
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