Cardiology Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. July 24, 2024
Cardiology Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. July 24, 2024
Cardiology | Radiology Hardware-Independent Deep Signal Processing: A Feasibility Study in Echocardiography. May 23, 2024
Cardiology Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: Clinical validation in real-time and large databases. October 26, 2023
Cardiology Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning. October 9, 2023
Cardiology | Radiology Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study. March 18, 2023
Pathology H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images. October 3, 2022
Pathology Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology. February 14, 2022
Cardiology | Radiology Myocardial function imaging in echocardiography using deep learning. January 25, 2021
Cardiology | Radiology LU-Net: a multi-stage attention network to improve the robustness of segmentation of left ventricular structures in 2D echocardiography. August 3, 2020
Cardiology | Radiology Real-time automatic ejection fraction and foreshortening detection using deep learning. March 16, 2020