3D MRI Processing Using a Video Domain Transfer Deep Learning Neural Network

Author:Jong Bum Son  Mark D. Pagel  Jingfei Ma  

Institution:The University of Texas MD Anderson Cancer Center  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3574  

Room Live Q&A Session:

A 3D attention model based Recurrent Neural Network for Alzheimer’s Disease Diagnosis

Addressing the need for less MRI sequence dependent DL-based segmentation methods: model generalization to multi-site and multi-scanner data

Adversarial Inpainting of Arbitrary shapes in Brain MRI

Analysis of Deep Learning models for Diagnostic Image Quality Assessment in Magnetic Resonance Imaging.

Anisotropic Deep Learning Multi-planar Automatic Prostate Segmentation

Author:Tabea Riepe  Matin Hosseinzadeh  Patrick Brand  Henkjan Huisman  

Institution:Radboudumc  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3518  

Room Live Q&A Session:

Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer

Attention-Based Deep Kidney Segmentation Framework for GFR Prediction

Author:Edgar Rios Piedra  Morteza Mardani  Shreyas Vasanawala  

Institution:Stanford University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3553  

Room Live Q&A Session:

Attention-based Semantic Segmentation of Thigh Muscle with T1-weighted Magnetic Resonance Imaging

Automated Quantification of Lung Cysts at 0.55T MRI with Image Synthesis from CT using Deep Learning

Author:Ipshita Bhattacharya  Marcus Chen  Joel Moss  Adrienne Campbell-Washburn  Hui Xue  

Institution:National Institutes of Health  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3513  

Room Live Q&A Session:

Automated Segmentation for Myocardial Tissue Phase Mapping Images using Deep Learning

Automated Segmentation of Late Gadolinium Enhanced CMR with Deep Learning

Automatic segmentation of dentate nuclei for microstructure assessment: application to temporal lobe epilepsy patients

A Cascaded 3D CNN Approach for Thalamic Nuclei Segmentation

Class activation mapping methods for interpreting deep learning models in the classification of MRI with subtypes of multiple sclerosis

Combined clinical parameters and  Magnetic Resonance Images for prostate cancer detection

Data Augmentation with Conditional Generative Adversarial Networks for Improved Medical Image Segmentation

Deep Inversion Net: A Novel Neural Network Architecture for Rapid, and Accurate T2 Relaxometry Inversion

Author:Jeremy Kim  Thanh Nguyen  Pascal Spincemaille  Yi Wang  

Institution:Hunter College High School  Weill Cornell Medical College  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3580  

Room Live Q&A Session:

Deep Learning Global Schedule Optimization for Chemical Exchange Saturation Transfer MR Fingerprinting (CEST-MRF)

Deep Learning Magnetic Resonance Fingerprinting for in vivo Brain and Abdominal MRI

Author:Peng Cao  Di Cui  Vince Vardhanabhuti  Edward Hui  

Institution:The University of Hong Kong  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3572  

Room Live Q&A Session:

Deep Learning-based Perfusion Parameter Mapping (DL-PPM) with Simulated Microvascular Network Data

A deep neural network with convolutional LSTM for brain tumor segmentation in multi-contrast volumetric MRI

Author:Namho Jeong  Byungjai Kim  Jongyeon Lee  HyunWook Park  

Institution:Korea Advanced Institute of Science and Technology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3510  

Room Live Q&A Session:

Deep PET-Prior: MR-derived Zero-Dose PET Prior for Differential Contrast Enhancement of PET

A Deep-Learning Based 3D Liver Motion Prediction for MR-guided-Radiotherapy

Dictionary-based convolutional neural network (CNN) for MR Fingerprinting with highly undersampled data

Author:Yong Chen  Zhenghan Fang  Weili Lin  

Institution:University of North Carolina at Chapel Hill  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3573  

Room Live Q&A Session:

Differentiation of Breast Cancer Molecular Subtypes on DCE-MRI by Using Convolutional Neural Network with Transfer Learning

Direct Pathology Detection and Characterization from MR K-Space Data Using Deep Learning

Empirically-Trained Image Contrast Synthesis for Intravascular MRI Endoscopy

Author:Xiaoyang Liu  Paul Bottomley  

Institution:Johns Hopkins University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3538  

Room Live Q&A Session:

Enhanced One-minute EPImix Brain MRI Scans with distortion correction Based on supervised GAN model

Fetal Brain Motion Estimation to Evaluate Motion-induced Artifacts in HASTE MRI

Fetal pose estimation from volumetric MRI using generative adversarial network

Fully automatic three dimensional prostate images registration: from T2-weighted-images to diffusion-weighted images

Informed deep convolutional neural networks

Author:R. Marc Lebel  Daniel Litwiller  

Institution:GE Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Disease, Diagnosis, Pathology & Treatment  

Program Number:3535  

Room Live Q&A Session:

Intelligent Knee MRI slice placement by adapting a generalized deep learning framework

Landmark detection of fetal pose in volumetric MRI via deep reinforcement learning

Learned Off-Resonance Correction for Simultaneous Radial 23Na and 1H Acquisitions at 7T

Learned Unrolled Optimization for Rapid Computation of Local RF field Enhancement Near Implants.

Magnetic Resonance Elastography Analysis using Convolutional Neural Networks

Author:Bogdan Dzyubak  Joel Felmlee  Richard Ehman  

Institution:Mayo Clinic  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3578  

Room Live Q&A Session:

Model uncertainty for MRI segmentation

MRI raw k-space mapped directly to outcomes: A study of deep-learning based segmentation and classification tasks

Multi-Contrast Hippocampal Subfield Segmentation for Ultra-High Field 7T MRI Data using Deep Learning

Multi-Contrast-Specific Objective Functions for MR Image Deep Learning - Losses for Pixelwise Error, Misregistration, and Local Variance

Multi-scale Entity Encoder-decoder Network Learning for Stroke Lesion Segmentation

Multi-Task Learning: Segmentation as an auxiliary task for Survival Prediction of cancer using Deep Learning

No more localizers: deep learning based slice prescription directly on calibration scans

Author:Andre Maximo  Chitresh Bhushan  Dawei Gui  Uday Patil  Dattesh Shanbhag  

Institution:GE Global Research  GE Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3569  

Room Live Q&A Session:

No-Reference Assessment of Perceptual Noise Level Defined by Human Calibration and Image Rulers

Author:Ke Lei  Shreyas Vasanawala  John Pauly  

Institution:Stanford University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3570  

Room Live Q&A Session: