Oncology | Radiology Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. March 10, 2022
Cardiology | Radiology Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. November 3, 2021
Cardiology SHAPE-REGULARIZED UNSUPERVISED LEFT VENTRICULAR MOTION NETWORK WITH SEGMENTATION CAPABILITY IN 3D+TIME ECHOCARDIOGRAPHY. June 25, 2021
Pathology | Radiology Deep learning-assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver. January 7, 2021
Cardiology A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. October 23, 2020
Cardiology | Radiology A SEMI-SUPERVISED JOINT LEARNING APPROACH TO LEFT VENTRICULAR SEGMENTATION AND MOTION TRACKING IN ECHOCARDIOGRAPHY. October 2, 2020
Medical Imaging | Neurology Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. August 3, 2020
Radiology Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. May 7, 2020
Neurology | Psychiatry Invertible Network for Classification and Biomarker Selection for ASD. April 10, 2020
Biomedical Engineering | Radiology Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. March 14, 2020
Radiology Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features. May 16, 2019