Sunday 6th October 2024

MICCAI 2024 Satellite Event

with Fetal Tissue Annotation and Segmentation Challenge (FeTA 2024)

The workshop will be held in Marrakesh local time


Latest Updates

21/03/2024 PIPPI 2024 has been accepted as an on-site MICCAI 2024 workshop in Marrakesh!

16/10/2023 The proceedings from PIPPI 2023 are now available here

15/10/2023 Lovely to see you all at another fanastic PIPPI! See you all next year!

15/10/2023 Congratulations to our Best Presentation winner Helena S. Sousa et al. and FIT'NG Best Poster award winner Alena Uus et al.!

18/09/2022 We are excited to announce that PIPPI 2023 is an endorsed event by FIT'NG! With a special best poster award for a contribution in the fetal, infant, toddler neuroimaging field!

24/08/2022 Delighted to see our first full papers from PIPPI published in the MELBA journal! Congratulations to Lucas Fidon et al and Wietske Bastiaansen et al!

Objectives

The application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data is of interest to a substantial proportion of the MICCAI community. It has gained additional interest especially in recent years, with the successful large scale open data initiatives such as the developing Human Connectome Project, the Baby Connectome Project, and the NIH-funded Human Placenta Project. These projects enable researchers without access to perinatal scanning facilities to bring in their image analysis expertise and domain knowledge. Advanced medical image analysis allows the detailed scientific study of conditions such as prematurity and the study of both normal singleton and twin development in addition to less common conditions unique to childhood. This workshop will complement the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis that is not possible within the main conference.

Online Proceedings

Best Paper Award

Presentation Guidelines

Important Dates

Sponsorship

Please contact us if you are interested in sponsoring PIPPI 2024 @MICCAI 2024.

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