8:30-9:30 |
Registration |
9:30-9:40 |
Welcome and agenda (workshop organizers) |
9:40-10:30 |
Keynote lecture (chair: Dr. Alistair Young) |
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Keynote speaker: Dr. Andrew King, King's College London, UK
Title: Machine learning in cardiac imaging.

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10:30-11:00 |
Regular papers - poster teasers 2 min each presenter (chair: Dr. Khawal Rhode) |
11:00-11:30 |
Coffee break |
10:30-13:00 |
Regular papers - orals (chairs: Dr. Mihaela Pop and Dr. Maxime Sermesant) |
11:30-11:42 |
T Syed, B Samari, K Siddiqi: “Estimating Sheets in the Heart Wall” |
11:42-11:54 |
A Banerjee, R Kharbanda, R Choudhury, V Grau: “Automated Motion Correction and 3D Vessel Centerlines Reconstruction from non- simultaneous angiographic projections” |
11:54-12:06 |
S Dangi, Z Yaniv, C Linte: “Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning” |
12:06-12:18 |
J Slipsager, K Juhl, P Sigvardsen, K Kofoed, O Backer, A Olivares, R Paulsen: “Statistical Shape Clustering of Left Atrial Appendages” |
12:18-12:30 |
S Marchesseau, H Fadil, J Totman “Deep Learning Segmentation of the Left Ventricle in Structural CMR” |
12:30-12:42 |
F Guo, M Li, M Ng, G Wright, M Pop: “Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction” |
12:42-12:54 |
J Mill, A Olivares, E Silva, I Genua, A Fernandez, A Aguado, M Nuñez, T Potter, X Freixa, O Camara: “Joint analysis of personalized in-silico haemodynamics and shape descriptors of the left atrial appendage” |
12:54-13:00 |
Session wrap-up and general discussion |
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13:00-15:00 |
Lunch and poster presentation (chairs: Dr. Kristin McLeod and Dr. Tommaso Mansi)
List of accepted posters |
15:00-16:00 |
LV quantification challenge (chair: Dr. Shuo Li) |
15:00-15:20 |
Challenge data and description from the organizers |
15:20-16:10 |
Short orals (10min each) from the LVquant challenge: |
15:20-15:30 |
E Kerfoot, J Clough, I Oksuz, J Lee, AP King, J Schnabel: “Left-Ventricle Quantification Using Residual U-Net” |
15:30-15:40 |
J Li, Z Hu: “LV full quantification using deep layer aggregation based multitask relationship learning” |
15:40-15:50 |
I Grinias, G Tziritas: “Convexity and connectivity principles applied for Left Ventricle segmentation and quantification” |
15:50-16:00 |
H Xu, J Schneider, V Grau: “Calculation of anatomical and functional metrics using deep learning in Cardiac MRI” |
16:00-16:10 |
L Liu, J Ma, J Wang, J Xiao “Automated Full Quantification of Left Ventricle using deep neural networks” |
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16:10-16:30 |
Challenge wrap-up |
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16:30-17:00 |
Coffee break |
17:00-18:50 |
Atrial segmentation challenge (chair: Dr. Jichao Zhao) |
17:00-17:10 |
Challenge data and description from the organizers |
17:10-18:20 |
Short orals (10min each) from the 3D Atrial segmentation challenge: |
17:10-17:20 |
Q Xia, Y Hao, Z Hu, A Hao: “Automatic 3D Atrial Segmentation from Gadolinium-enhanced MRI using Volumetric Fully Convolutional Networks” |
17:20-17:30 |
S Jia, A Despinasse, Z Wang, H Delingette, X Pennec, P Jaïs, H Cochet, M Sermesant: “Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets” |
17:30-17:40 |
M Qiao, Y Wang, R Geest, Q Tao: ”Fully Automated Left Atrium Cavity Segmentation from 3D GE-MRI by Multi-Atlas Selection and Registration” |
17:40-17:50 |
C Bian, X Yang, S Zheng, J Ma, YA Liu, R Nezafat, PA Heng, Y Zheng: “Pyramid Network with online Hard Example Mining for Accurate Left Atrium Segmentation” |
17:50-18:00 |
X Yang, N Wang, Y Wang, X Wang, R Nezafat, D Ni, PA Heng: “Combating Uncertainty with Novel Losses for Automatic Atrium Segmentation” |
18:00-18:10 |
C Li, Q Tong, X Liao, W Si, Y Sun, Q Wang, PA Heng: “Attention based hierarchical aggregation network for 3D Left atrial segmentation” |
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18:10-18:30 |
Challenge wrap-up |
18:30-18:50 |
Presentation from the sponsors |
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18:50:19:00 |
Awards, closing remarks and adjourn
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