$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

no code implementations • 15 Jan 2024 • Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo

The contribution of the paper is three-fold: (1) $M^{2}$Fusion is the first pipeline of multi-level fusion on pathology WSI and 3D radiology CT image for MSI prediction; (2) CT images are the first time integrated into multimodal fusion for CRC MSI prediction; (3) feature-level fusion strategy is evaluated on both Transformer-based and CNN-based method.

Representation Learning Weakly-supervised Learning +1

Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method

no code implementations • 24 Mar 2021 • Shengjun Zhang, Yunlong Dong, Dong Xie, Lisha Yao, Colleen P. Bailey, Shengli Fu

This paper investigates the stochastic distributed nonconvex optimization problem of minimizing a global cost function formed by the summation of $n$ local cost functions.

Stochastic Optimization

Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network

no code implementations • 14 Oct 2019 • Lisha Yao, Sui Li, Manman Zhu, Dong Zeng, Zhaoying Bian, Jianhua Ma

In this study, the present uGAN generates ErCT images at 70keV, 90keV, 110keV, and 130keV simultaneously from EiCT images at140kVp.

Generative Adversarial Network Image-to-Image Translation +1