08:30 – 09:30 Workshop Registration

09:30 – 11:00 First Oral Session (presentations 1-5, 12min + 3min of questions)

1. Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound Author: Ana Ineyda L Namburete et al
2. Automatic Shadow Detection in 2D Ultrasound Images Author: Qingjie Meng
3. Construction of a Fetal Brain Ultrasound Atlas using Multi-channel Groupwise Registration Author: Ana Ineyda L Namburete et al
4. Investigating brain age deviation in preterm infants: a deep learning approach Author: Susmita Saha
5. Segmentation of pelvic vessels in pediatric MRI using a patch-based deep learning approach Author: Alessio Virzi et al

11:00 – 11:30 Coffee Break

11:30 – 13:30 Second Oral Session (presentations 6-12, 12min + 3min of questions)

6. Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding Author: Veronika A Zimmer
7. EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers Author: Bishesh Khanal et al
8. Better Feature Matching for Placental Panorama Construction Author: Praneeth R Sadda et al
9. Combining deep learning and multi-atlas label fusion for automated placenta segmentation from 3DUS Author: Ipek Oguz et al
10. LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images Author: Robert Wright et al
11. Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-Scale Dense Networks Author: Kong Peiyao et al
12. Paediatric liver segmentation for low-contrast CT images Author: Gobert Lee et al

13:20 Wrap up and best presentation prize

13:30 Lunch