Researchers from the SmartHeart project will present 9 papers at this year’s MICCAI conference in Shenzhen, China. The list of papers being presented is given below:
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert - Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view images
Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert - Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert - Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space
Ilkay Oksuz, James Clough, Bram Ruijsink, Esther Puyol Anton, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Andrew King, Julia Schnabel - Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction
Jo Schlemper, Sadegh Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka - k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations
Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph Hajnal, Daniel Rueckert - VS-Net: Variable spitting network for accelerated parallel MRI reconstruction
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan O’Regan, Daniel Rueckert - Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI
Gavin Seegoolam, Chen Qin, Jo Schlemper, Anthony Price, Joseph Hajnal, Daniel Rueckert - Global and Local Interpretability for Cardiac MRI Classification
James Clough, Ilkay Oksuz, Esther Puyol Anton, Bram Ruijsink, Andrew King, Julia Schnabel