A multi-output deep learning algorithm to improve brain lesion segmentation by enhancing the resistance of variabilities in tissue contrast

Automated classification of intramedullary spinal cord tumors and inflammatory demyelinating lesions using deep learning

Automated IDH genotype prediction pipeline using multimodal domain adaptive segmentation (MDAS) model

Correlated and specific features fusion based on attention mechanism for grading hepatocellular carcinoma with Contrast-enhanced MR

Efficient six-direction DTI tensor estimation using model-based deep learning

High efficient Bloch simulation of MRI sequences based on deep learning

Residual Non-local Attention Graph Learning (PNAGL) Neural Networks for Accelerating 4D-MRI

A residual-spatial feature based MR motion artifact detection model with better generalization

Author:Xiaolan Liu  Yaan Ge  Qingyu Dai  Kun Wang  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4335  

Room Session:3  

Institution:GE Healthcare  

Self-supervised learning for multi-center MRI harmonization without traveling phantoms: application for cervical cancer classification

Transformer based Self-supervised learning for content-based image retrieval

Tumor Aware Temporal Deep Learning (TAP-DL) for Prediction of Early Recurrence in Hepatocellular Carcinoma Patients after Ablation using MRI