Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis

建模非癌生存分析多模态融合中的不确定性.

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

DeepInsight：把非图像数据转换成图像的卷积神经网络方法.

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer’s Disease

使用图卷积网络进行疾病预测：自闭症谱系障碍和阿尔茨海默病的应用.

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data

使用不完整放射、病理、基因组与人口统计数据进行乳腺癌生存预测.

Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

深度正交融合: 整合放射、病理、基因组与临床数据的多模态预后生物标志物发掘.

GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction

GPDBN: 整合基因组数据与病理图像的深度双线性网络用于乳腺癌预后预测.