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Mu Zhou
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Multi-scale convolutional neural networks for lung nodule classification
W Shen, M Zhou, F Yang, C Yang, J Tian
International Conference on Information Processing in Medical Imaging, 588-599, 2015
7522015
Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification
W Shen, M Zhou, F Yang, D Yu, D Dong, C Yang, Y Zang, J Tian
Pattern Recognition 61, 663-673, 2017
6452017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
S Wang, M Zhou, Z Liu, Z Liu, D Gu, Y Zang, D Dong, O Gevaert, J Tian
Medical image analysis 40, 172-183, 2017
4822017
UTNet: a hybrid transformer architecture for medical image segmentation
Y Gao, M Zhou, DN Metaxas
International Conference on Medical Image Computing and Computer-Assisted …, 2021
4502021
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ...
American Journal of Neuroradiology, 2017
3682017
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
S Wang, J Shi, Z Ye, D Dong, D Yu, M Zhou, Y Liu, O Gevaert, K Wang, ...
European Respiratory Journal 53 (3), 1800986, 2019
3592019
A radiogenomic dataset of non-small cell lung cancer
S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ...
Scientific data 5 (1), 1-9, 2018
2422018
Non–small cell lung cancer radiogenomics map identifies relationships between molecular and imaging phenotypes with prognostic implications
M Zhou, A Leung, S Echegaray, A Gentles, JB Shrager, KC Jensen, ...
Radiology 286 (1), 307, 2018
1862018
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Q Liu, Z Hu, R Jiang, M Zhou
Bioinformatics 36, i911-i918, 2020
1422020
A multi-view deep convolutional neural networks for lung nodule segmentation
S Wang, M Zhou, O Gevaert, Z Tang, D Dong, Z Liu, J Tian
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
1302017
Facial action unit recognition with sparse representation
MH Mahoor, M Zhou, KL Veon, SM Mavadati, JF Cohn
Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE …, 2011
1132011
MR imaging–based radiomic signatures of distinct molecular subgroups of medulloblastoma
M Iv, M Zhou, K Shpanskaya, S Perreault, Z Wang, E Tranvinh, ...
American Journal of Neuroradiology 40 (1), 154-161, 2019
1112019
Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results
M Zhou, L Hall, D Goldgof, R Russo, Y Balagurunathan, R Gillies, ...
Translational oncology 7 (1), 5-13, 2014
1072014
Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction
W Shen, M Zhou, F Yang, D Dong, C Yang, Y Zang, J Tian
International Conference on Medical Image Computing and Computer-Assisted …, 2016
932016
Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction
M Zhou, B Chaudhury, LO Hall, DB Goldgof, RJ Gillies, RA Gatenby
Journal of Magnetic Resonance Imaging, 2016
872016
Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes
C Huang, M Cintra, K Brennan, M Zhou, AD Colevas, N Fischbein, S Zhu, ...
EBioMedicine 45, 70-80, 2019
852019
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
P Mukherjee, M Zhou, E Lee, A Schicht, Y Balagurunathan, S Napel, ...
Nature machine intelligence 2 (5), 274-282, 2020
802020
A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark
Y Gao, M Zhou, D Liu, Z Yan, S Zhang, DN Metaxas
arXiv preprint arXiv:2203.00131, 2022
782022
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
Y Han, Z Xie, Y Zang, S Zhang, D Gu, M Zhou, O Gevaert, J Wei, C Li, ...
Journal of Neuro-Oncology, 1-10, 2018
772018
Data for NSCLC radiogenomics collection
S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ...
The Cancer Imaging Archive 10, K9, 2017
752017
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