Zixiao Lu

发表

BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes

Travis S. Johnson, Jie Zhang, Kun Huang, 2019, Genome Biology.

Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI

Qianjin Feng, C. Liang, Yu-hao Dong, 2018, European Radiology.

regSNPs-ASB: A Computational Framework for Identifying Allele-Specific Transcription Factor Binding From ATAC-seq Data

Christina Y. Yu, Weixing Feng, Yunlong Liu, 2020, Frontiers in Bioengineering and Biotechnology.

Deep-Learning–Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data

Zhi Han, Jie Zhang, Kun Huang, 2020, JCO clinical cancer informatics.

Integrative analysis of histopathological images and chromatin accessibility data for estrogen receptor-positive breast cancer

Christina Y. Yu, Weixing Feng, Yunlong Liu, 2020, BMC Medical Genomics.

A Deep Learning Approach for Tissue Spatial Quantification and Genomic Correlations of Histopathological Images

Zhi Han, Jie Zhang, Kun Huang, 2020, bioRxiv.

BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes

Travis S. Johnson, Kun Huang, J. Zhang, 2019, Genome Biology.

DDTNet: A dense dual-task network for tumor-infiltrating lymphocyte detection and segmentation in histopathological images of breast cancer

Qianjin Feng, Zixiao Lu, Yinghua Zhao, 2022, Medical Image Anal..

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images

Lijun Zhao, Qianjin Feng, Yi Wu, 2019, Journal of Digital Imaging.

BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images

Zhi Han, Jie Zhang, Kun Huang, 2021, Genom. Proteom. Bioinform..

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors

Daoqiang Zhang, Kun Huang, Yawen Wu, 2022, MICCAI.

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis

Jun Cheng, Kun Huang, Liang Sun, 2020, IEEE Transactions on Medical Imaging.

A Deep Learning Approach for Tissue Spatial Quantification

Jie Zhang, Kun Huang, Qianjin Feng, 2020 .

Predict CT image from MRI data using KNN-regression with learned local descriptors

Yao Wu, Wei Yang, Zhentai Lu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Hippocampus Segmentation Through Distance Field Fusion

Qianjin Feng, Yao Wu, Wei Yang, 2015, Patch-MI@MICCAI.