MIDL Young Researcher Showcase 2026
The MIDL Young Researcher Board is delighted to welcome you to the 2026 MIDL Young Researcher Showcase!
The Young Researcher Showcase provides a platform for emerging researchers to share exciting work in progress, preliminary findings, and recent research with the MIDL community. This year's program brings together young researchers working across medical imaging, machine learning, image registration, and accessible AI.
Each presenter will have 6 minutes to present their work, followed by 2 minutes for questions and discussion.
We encourage attendees to engage with our presenters, ask questions, and help us celebrate the exciting research being conducted by the next generation of researchers in our community.
The MIDL Young Researcher Showcase will take place on 23 September, 14:00-15:00 UTC+0 as a virtual Zoom event. Please register using the link below to receive Zoom links for the event. The event will be free of charge.
All participants are invited to stay on the Zoom link after the Showcase for a social gathering if you so wish!
Timetable
(all times in UTC0)
| Program | Time Slot |
|---|---|
| Welcome and Opening Remarks - by MIDL Young Researcher Board | 14:00 – 14:04 |
| ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging - by Toufiq Musah (Master's Student, University of Pennsylvania) | 14:04 – 14:12 |
| SpFiLM: Spatial Feature-wise Linear Modulation for Contrast Agent-Aware Brain Parcellation - by Pushpendra Singh (PhD Candidate, King's College London) | 14:12 – 14:20 |
| DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior - by Yanqi Cheng (PhD Candidate, University of Cambridge) | 14:20 – 14:28 |
| Continuous Ethiopian Sign Language Recognition: A Multi-Modal Study of Video and Skeleton-Based End-to-End Models with Cross-Lingual Transfer - by Anteneh Yehalem Tegegne (PhD Candidate, Bahir Dar University, Ethiopia) | 14:28 – 14:36 |
| When Do Neural Networks Help Deformable Image Registration? Validation, Registration-Specific Design, and Prior Matching - by Dr. Hengjie Liu (Postdoctoral Researcher, UCSF) | 14:36 – 14:44 |
| Spatiotemporal Deep Learning for Cardiac Cycle-Resolved Aortic Root Mechanics in Pediatric Marfan Syndrome - by Shubh Mehta (PhD Candidate, Purdue University) | 14:44 – 14:52 |
| Closing Remarks and Discussion | 14:52 – 15:00 |
Organization
- Anna Wundram, anna.wundram@unilu.ch
- Anwai Archit, anwai.archit@uni-goettingen.de
- Savannah Hays, shays6@jhu.edu