Members of the BioMedIA group will be presenting 14 papers at this year’s MICCAI in Shenzhen. The full list of papers presented can be found below:
- Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz
- Complete Fetal Head Compounding from Multi-View 3D Ultrasound. Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer, Jacqueline Matthew, Emily Skelton, Bishesh Khanal, Bernhard Kainz, Daniel Rueckert, Joseph Hajnal, Julia Schnabel
- Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. Zeju Li, Konstantinos Kamnitsas, Ben Glocker
- Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. Martin Zlocha, Qi Dou, Ben Glocker
- Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. Matthew Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker
- 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
- 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
- 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
- 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
- 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
- Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI. Gavin Seegoolam, Chen Qin, Jo Schlemper, Anthony Price, Joseph Hajnal, Daniel Rueckert
- Multiple Landmarks Detection using Multi-Agent Reinforcement Learning. Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz