3D T1-weightedsequenceofvolumetricisotropicturbospin-echoacquisition with a deep learning constrained Compressed SENSE reconstruction

Accelerating High b-Value DWI Acquisition Using a Convolutional Recurrent Neural Network

Applying Continuous-Time-Random-Walk (CTRW) diffusion model based Radiomics in Predicting HER-2 Expression in Breast Invasive Ductal Cancer

BayesTract: Automated machine learning based brain artery segmentation, anatomical prior annotation and feature-extraction in MR Angiography

BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI

Brain age prediction using fusion deep learning combining pre-engineered and convolution-derived features

Brain Growth and Folding Processes Using Deep Neural Networks

Classification and visualization of chemo-brain in breast cancer survivors with deep residual and densely connected networks

Classification of Chemotherapy-Related Subjective Cognitive Complaints in Breast Cancer Using Multi-Level Features of Functional MRI

Classification of Schizophrenia with Structural MRI Using 3D-MIGR Transformer

Deep Learning Algorithm for Automated Liver Segmentation Using Portal Venous Phase Magnetic Resonance Images

Deep Learning based Total Kidney VolumeSegmentation in Autosomal Dominant Polycystic Kidney Disease

Deep Learning Based Automated Diagnosis of Epilepsy in Patients with WHO II-IV Grade Cerebral Gliomas from Multiparametric MRI

Deep Learning-based Generative Adversarial Registration NETwork (GARNET) forHepatocellular Carcinoma Segmentation: Multi-center Study

Deep learning-based high-resolution pseudo-CT to detect cranial bone abnormalities for pediatric patients using MRI

Deep learning-based slice resolution for improved slice coverage in abdominal T2 mapping

A Deep Neural Network for Detection of Glioblastomas in Spectroscopic MRI

Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning(DeepAnat)

Direct parameter estimation of white matter model from DKI maps using recurrent neural network

Exploration of vision transformer models in medical images synthesis

Exploring Hybrid CNN-Transformer for Schizophrenia Classification using Structural MRI

Fast Magnetic Resonance Imaging by Deep Learning the Sparsified Complex Data

HRMAS-NMR and Machine learning assisted untargeted Serum Metabolomics identified a panel of circulating biomarkers for detection of glioma.

Human Knowledge Guided Deep Learning with Multi-parametric MR Images for Glioma Grading

Improved Padding in CNNs for Quantitative Susceptibility Mapping

Author:Juan Liu  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence III  

Program Number:3923  

Room Session:1  

Institution:Yale University  

Improving Motion-Robust Structural Imaging at 7T with Deep Learning-Based PROPELLER Reconstruction

ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization

Increased Brain Age Gap Estimate (BrainAGE) in APOE4 carriers with Alzheimer’s disease

Learning to segment with limited annotations: Self-supervised pretraining with Regression and Contrastive loss in MRI

Machine learning based classification of major depressive disorder using clinical symptom scales and ultrahigh field MRI features

Microbleed detection in autopsied brains from community-based older adults using microbleed synthesis and deep learning

MRI protocol recommendation using deep metric learning

MR-only staging of osteonecrosis of the femoral head (ONFH) using self-supervised learning for multiple MR protocols

MS ornot MS: T2-weighted image (T2WI)-based radiomics findings distinguishes MS from its mimics

Multi-Channel Deep LearningforIDHMutation Status Prediction in Gliomas:A MultimodalApproach

Multi-class brain lesion detection: establishing a baseline for fastMRI+ dataset

Multi-parametric versus bi-parametric prostate MRI for deep learning: Marginal benefits from adding dynamic contrast-enhanced images

MVPA using the hyperaligned 7T-BOLD signals revealed that the initial decrease contains finer information to decode facial expressions