Deep Learning Assisted Diagnosis of Prostate Cancer: Using a Multi-scale Neural Network Based on Points of Interest

Age and gender prediction from minimally processed 3D structural brain MRI through multi-task contrastive learning

Deep learning-based prognostic model using non-enhanced cardiac cine MRI in patients with heart failure.

Total Knee Replacement Prediction using Twin Class Distribution Estimation

Biparametric MRI classification model for prostate cancer detection using a combination of prediction maps

Prediction of active Multiple Sclerosis lesions through use of logistic regression classifier and first-order features

Prediction of ductal carcinoma in situ with microinvasion postoperatively in women with biopsy-confirmed ductal carcinoma in situ

Development and validation of a deep learning model trained on MRI for the prediction of hepatocellular carcinoma survival

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks

RiskForm: A novel risk formulation to improve progressive disease outcome prediction

Neural Shape Models Predict Knee Pain Better than Conventional Statistical Shape Models: Data from the Osteoarthritis Initiative

Author:Anthony Gatti  Dave Van Veen  Garry Gold  Scott Delp  Akshay Chaudhari  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:ML/AI for Disease Detection, Diagnosis & Prediction  

Program Number:1892  

Room Session:Exhibition Halls D/E  

Institution :Stanford University  

Multi-Modal Detection and Localization of Intracranial Aneurysms using 3D nnDetection Deep Learning Model

Estimating time-to-total knee replacement surgery using deep learning

GAMER-MRI and modified Layer-wise Relevance Propagation identify on quantitative MRI regions sensitive to clinical disability in MS patients

Pre-Clinical MRI radiomics and machine learning to predict survival after immunotherapy treatment

Towards an optimal breast lesions predictive model by assessing different MRI protocols combinations: Radiomics analysis