An appropriate threshold for LGE images using deep learning-based reconstruction in revelation clinically unrecognized myocardial infarction

Automated Bladder Segmentation of 3D Dynamic MRI For Urodynamic Analysis Using Deep Learning

Automated Pancreatic Segmentation and Quantitative Calculation Based on nnUnet

Can We Distinguish Intra- and Inter-Variability with Log Jacobian Maps Derived from Brain Morphological Deformations Using Pediatric MRI Scans?

Classification of Grade II and III Astrocytomas for Multi-modal MRI using Deep Volumetric Attention Networks.

A Convolutional Neural Network Approach to Personalized Neuropil Density Prediction

Author:Brian Chang  Adil Akif  John Onofrey  Fahmeed Hyder  

Session Type:Traditional Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI/ML for Image Analysis, Diagnosis & Predictive Insights  

Program Number:4846  

Room Session:Exhibition Hall (Hall 403)  

Institution:Yale University  

Early Alzheimer's Detection and Classification using VGG Convolutional Neural Network and Systematic Data Augmentation using MR Images

Harmonizing Multicenter Datasets: Enhancing Consistency and Longitudinal Alignment using NLP and Realignment Algorithms

High-variability synthetic fat-water MRI dataset for testing the robustness of Deep Learning-based reconstruction models

A multi-scale pyramid residual weight network for medical image fusion

Overcoming the missing data challenge in clinical imaging using CycleGAN based on brain MRI in Multiple Sclerosis

Predictive Value of Biochemical Recurrence in Advanced Prostate Cancer: Development of Deep Learning-based Radiomics Model

Pre-operative prediction of cerebral hemodynamics for cognitive dysfunction in adults with Moyamoya Disease based on 3D-pCASL and radiomics

Semi-supervised learning for non-invasive radiopathomic mapping of treatment naïve glioma with multi-parametric MRI

A Two Step Workflow to Support Fully Autonomous MR Scanning in Prostate