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Mu Zhou

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
2021 · Yunhe Gao, Mu Zhou, et al. · Lecture notes in computer science · 651
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
2016 · Wei Shen, Mu Zhou, et al. · Pattern Recognition · 641
Multi-scale Convolutional Neural Networks for Lung Nodule Classification
2015 · Wei Shen, Mu Zhou, et al. · Lecture notes in computer science · 627
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
2017 · Shuo Wang, Mu Zhou, et al. · Medical Image Analysis · 480
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
2019 · Shuo Wang, Jingyun Shi, et al. · European Respiratory Journal · 437
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
2017 · M. Zhou, J. Scott, et al. · American Journal of Neuroradiology · 416
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A radiogenomic dataset of non-small cell lung cancer
2018 · Shaimaa Bakr, Olivier Gevaert, et al. · Scientific Data · 316
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DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
2020 · Qiao Liu, Zhiqiang Hu, et al. · Bioinformatics · 266
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Non–Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications
2017 · Mu Zhou, Ann Leung, et al. · Radiology · 190
MR Imaging–Based Radiomic Signatures of Distinct Molecular Subgroups of Medulloblastoma
2018 · M. Iv, M. Zhou, et al. · American Journal of Neuroradiology · 129
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A multi-view deep convolutional neural networks for lung nodule segmentation
2017 · Shuo Wang, Mu Zhou, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 127
Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning
2021 · Hui Qu, Mu Zhou, et al. · npj Precision Oncology · 118
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A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
2020 · Pritam Mukherjee, Mu Zhou, et al. · Nature Machine Intelligence · 101
Radiologically Defined Ecological Dynamics and Clinical Outcomes in Glioblastoma Multiforme: Preliminary Results
2014 · Mu Zhou, Lawrence Hall, et al. · Translational Oncology · 97
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Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes
2019 · Chao Huang, Murilo Cintra, et al. · EBioMedicine · 93
Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction
2016 · Mu Zhou, Baishali Chaudhury, et al. · Journal of Magnetic Resonance Imaging · 93
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Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing
2020 · Zichen Wang, Mu Zhou, et al. · Bioinformatics · 90
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Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction
2016 · Wei Shen, Mu Zhou, et al. · Lecture notes in computer science · 77
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
2022 · Gao, Yunhe, Zhou, Mu, et al. · arXiv (Cornell University) · 76
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Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
2018 · Yuqi Han, Zhen Xie, et al. · Journal of Neuro-Oncology · 76
CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma
2020 · Pritam Mukherjee, Murilo Cintra, et al. · Radiology Imaging Cancer · 73
Facial action unit recognition with sparse representation
2011 · Mohammad H. Mahoor, Mu Zhou, et al. · International Conference on Automatic Face and Gesture Recognition · 73
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study
2021 · Jingwei Wei, Hanyu Jiang, et al. · Cancers · 72
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A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer
2023 · Kexin Ding, Mu Zhou, et al. · Scientific Data · 71
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Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study
2022 · Kexin Ding, Mu Zhou, et al. · The Lancet Digital Health · 53
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Works count: 99
Citation count: 6,487
H-index: 36
I10-index: 59
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