Assessing and Enhancing the Robustness of Brain Tumor Segmentation using a Probabilistic Deep Learning Architecture

Author:Ebtihal Alwadee  Xianfang Sun  Yipeng Qin  Frank Langbein  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI-Enhanced Processing in the Brain  

Program Number:4526  

Room Session:Exhibition Hall (Hall 403)  

Institution:Cardiff University  Jazan University  

Asymmetry-Aware Pretraining: A Path to Universal Brain MRI Analysis Model

AUTOMATED CEREBRAL CAVERNOUS MALFORMATION LESION SEGMENTATION FROM SUSCEPTIBILITY WEIGHTED MR IMAGING

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

A Computer-aided Diagnoses Method for Brainstem-and-cerebellar Hemangioblastoma

Author:Botao Zhao  Xiao-Yong Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI-Enhanced Processing in the Brain  

Program Number:4518  

Room Session:Exhibition Hall (Hall 403)  

Institution:Fudan University  

Denoising Arterial Spin Labeling Perfusion MRI using Deep Learning Methods

Author:Zixuan Han  Zihan Ning  Xihai Zhao  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI-Enhanced Processing in the Brain  

Program Number:4512  

Room Session:Exhibition Hall (Hall 403)  

Institution:Tsinghua University  

Generating 3D Volumetric Brain Images via Other Contrast Guidance from 2D Thick Slices

Post-Surgical Cavity Segmentation on MRI for Glioma Patients with Deep Learning and Transfer Learning Approach

ResoNet: MRI Super-Resolution via Multi-Path GAN with Adaptive Convolutional Kernels

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

Using ResNet to utilize 4-class T2-FLAIR slice classification based on the cholinergic pathways hyperintensities scale for pathological aging