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

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

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

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

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

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

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:

Prediction of prostate cancer aggressiveness using open-source machine learning tools for 5-minute prostate MRI: PRODIF CAD 1.0

Utility of Stockwell Transform variants for local feature extraction from MR images: evidence from multiple sclerosis lesions

Author:Glen Pridham  Olayinka Oladosu  Yunyan Zhang  

Institution:University of Calgary  

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:3532  

Room Live Q&A Session:

Weakly Supervised Exclusion of Non-Tumoral Enhancement in Low Volume Dataset for Breast Tumor Segmentation