Xuhua Ren
Xuhua Ren
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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
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
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
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
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
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
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
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
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
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
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
Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrian 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
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
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
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
Mask-RCNN for cell instance segmentation
X Ren, S Zhou, D Shen, Q Wang
IEEE Transactions on Medical Imaging, 2020
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
Ensembles of Multiple Scales, Losses and Models for Segmentation of Brain Area
X Ren, D Shen, Q Wang
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