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Achieving Robust Labeling Above the Circle of Willis with Vessel-Encoded Arterial Spin Labeling

Brain Tumor Enhancing in Pre-contrast MRI Based on Deep Learning

Characterizing Brain Tumor Microstructure with SANDI using 300 mT/m Gradients

Deep Learning-based Fully-Automated Detection and Segmentation of Small Renal Masses on Multi-sequences MRI: A Multi-center Study

Differentiating Low- and High-Grade Pediatric Brain Tumor Using Integrated DWI

Hepatobiliary Phase Synthesis Using Multi-Task Learning GAN: Application to Liver Fibrosis Classification

Hierarchical auditory processing integrating macroscopic and mesoscopic neural networks

Author:Yuwei Jiang  Yangjiayi Mu  He Wang  

Session Type:Traditional Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:fMRI Connectivity: Wire Together, Fire Together  

Program Number:4970  

Room Session:Exhibition Hall (Hall 403)  

Institution:Fudan University  

Improved Vessel-Encoded Dynamic Arterial Spin Labeling (VE-DASL) for Vascular Territory Mapping

Motion-insensitive multi-contrast intracranial vascular imaging:Feasibility of self-navigated motion-detection from iSNAP sequence

Author:Xiaoqian Chao  Lixin Liu  Peng WU  Lu HAN  He Wang  Zhensen Chen  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:Motion Correction: Neuro  

Program Number:4654  

Room Session:Exhibition Hall (Hall 403)  

Institution:Fudan University  Philips Healthcare  Ministry of Education  

Prediction of Lifetime Acute Ischemic Stroke Risk using Multimodal Models and SHAP-based Interpretability Methods

Author:Wenyue Mao  Yuxiang Dai  Zhang Shi  Rencheng Zheng  Yinghua Chu  Chengyan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI Applications in Neurology  

Program Number:4713  

Room Session:Exhibition Hall (Hall 403)  

Institution:Fudan University  Simens Healthineers Ltd.  

Semi-Nonlinear Self-Adaptation Normalization Generator (SNSAN) to Improve Generalization of White Matter Hyperintensities Segmentation