PIPPI 2023 Schedule

Vancouver local time (GMT-8, CEST-9, EDT-3)


01:15 pm - 01:25 pm Welcome & Introduction
01:25 pm - 02:30 pm Hybrid Oral Session, with live Q$A (Moderated)

01:25 pm - 01:35 pm FetMRQC: Automated Quality Control for fetal brain MRI, Thomas Sanchez (Onsite)
01:35 pm - 01:45 pm A Deep Learning Approach for Segmenting The Subplate and Proliferative Zones in Fetal Brain MRI, Helena S. Sousa (Onsite)
01:45 pm - 01:55 pm The Comparison Analysis of the Cervical Features Between Mid- and Full-term Pregnancy in Ultrasound Images Using eXplainable AI, Yeong-Eun Jeon (Onsite)
01:55 pm - 02:05 pm Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark, Michael Wan (Onsite)
02:05 pm - 02:15 pm The Challenge of Fetal Cardiac MRI Reconstruction using Deep Learning, Denis Prokopenko (t.b.d)
02:15 pm - 02:30 pm Q & A Session with all presenters


02:30 pm - 02:40 pm Short break (10 minutes)
02:40 pm - 03:25 pm Hybrid Poster Walks - each 3min Pitch/2min Q&A (Moderated)

02:40 pm - 02:45 Combined quantitative T2* map and structural T2-weighted tissue-specific analysis for fetal brain MRI: pilot automated pipeline, Alena Uus (Online)
02:45 pm - 02:50 pm Visualization and quantification of placental vasculature using MRI, Joanna Chappell (Online)
02:50 pm - 02:55 pm Automatic Deep Learning Algorithm to Diagnose Placenta Previa on MRI, Joshua Eisenstat (Online)
02:55 pm - 03:00 pm Diffusion pretraining for label-efficient ultrasound fetal head segmentation, Zuzanna Szafranowska (Online)
03:00 pm - 03:05 pm Placenta accreta spectrum diagnosis using fusion of ultrasonic texture features and machine learning,Dylan Young (Online)
03:05 pm - 03:10 pm Quantitative T2 relaxometry in fetal brain: validation using modified FaBiaN fetal brain MRI simulator, Suryava Bhattacharya (Onsite)
03:10 pm - 03:15 pm Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series, Yingcheng Liu (Onsite)
03:15 pm - 03:20 pm Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR using Atlas-based Segmentation and Statistical Shape Modelling, Paula M Ramirez (Onsite)
03:20 pm - 03:25 pm i-Test: A longitudinal study on retinal microvascular changes in late-stage pregnancy with and without complications, Jamie A Burke (Onsite)

03:30 pm - 04:00 pm (30 minutes) Coffee break - Onsite: Poster Session, Online (Optional) - Poster Breakoutroom Discussions

04:00 pm - 04:50 pm Keynote Dafna Ben Bashat (Sagol Brain Institute, Tel Aviv Sourasky Medical Center)

Dafna Ben Bashat 04:50 pm - 05:00 pm 10 minutes break

05:00 pm - 06:00 pm PIPPI Circle Interactive Discussion Rounds

06:00 pm - 06:30 pm Closing and Award Ceremony

PIPPI 2023 Keynote Talk



Fetal Assessment Using MRI: Beyond Volumetric Evaluation
Pregnancy is a window into the future health of both mothers and their offspring. Fetal magnetic resonance imaging (MRI) has demonstrated superior accuracy and sensitivity compared to ultrasound, thus enhancing fetal assessment. MRI provides 3D multi-contrast information, enabling accurate volumetric measurements of fetal organs and placenta. However, additional functional and metabolic information, which indirectly reflects microstructural tissue properties, can be obtained, yet it is often underused. Advances in computational power and AI models have significantly advanced the quantitative assessment of fetal development. However, volumetric assessment represents only the tip of the iceberg, with a wealth of essential information accessible through advanced MRI methods. The talk will provide an overview of recent advancements and trends in AI aimed at enhancing fetal image acquisition and extracting quantitative measurements. Additionally, it will delve into the utilization of advanced MRI techniques to go beyond volumetric structural data.



Dafna Ben Bashat is an Associate Professor at Tel Aviv Sourasky Medical Center. She obtained her Ph.D. in chemical physics from Tel Aviv University before assuming the role of Deputy Director of the Sagol Brain Institute and head of MRI systems at Tel Aviv Sourasky Medical Center (TASMC).
With extensive training and a comprehensive background in MR physics, Professor Ben Bashat has specialized in the development of advanced MR acquisition and analysis methods. Her primary research objectives focus on enhancing patients' diagnosis and prognosis by leveraging state-of-the-art methods to develop more precise diagnostic tools. Over the past two decades, her research has centered primarily on brain pathologies, brain development, and fetal and placental assessment. Several of these methods have been successfully implemented in clinical practice at TASMC.

PIPPI CIRCLE 2023

Watch this space for PIPPI circle this year!