Antonio M. Simoes Monteiro de Marvao

发表

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling pdf

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, MICCAI.

Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension pdf

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, MICCAI.

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2013, MICCAI.

Geodesic Patch-Based Segmentation

Ben Glocker, Daniel Rueckert, Kensaku Mori, 2014, MICCAI.

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, FIMH.

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, Medical Image Anal..

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, ShapeMI@MICCAI.

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2014, MICCAI.