YR Showcase Event 2025
The MIDL Young Researcher Board is happy to announce the first MIDL Young Researcher Showcase!
The MIDL Young Researcher (YR) Showcase is designed to be a premier event for young researchers within the MIDL community to showcase their work. The event aims to provide a space for Masters and PhD students to share their in-progress, preliminary or recently achieved results with others in the community. We are inviting abstracts from early career researchers in our community which will be judged by members of the MIDL YR board and, if accepted, invited for a presentation at an exciting online showcase event!
This is a great opportunity for early career researchers to gain experience in presenting their work. As an extra incentive, prizes will be awarded for outstanding abstracts and presentations!
The YR Showcase will take place on 10 September, 2025, 15:00-17:00 UTC+0 as a virtual Zoom event. If you wish to submit an abstract, please use the registration link below. Attendees not submitting an abstract are also encouraged to register to receive Zoom links for the event. The event will be free of charge.
The abstract submission deadline is 22 August, 01:00 UTC+0.
After the showcase, all participants are welcome to stay on the Zoom link for a social gathering (if you so wish)! Please note that a detailed schedule will be amended at a later date.
Abstract Guidelines
Scope: Abstracts should be on topics under the general MIDL research themes and can reflect important recently published work, early stage projects, frameworks or applications, validation studies and any other interesting findings. Abstracts will not be published subsequently.
Suggested Sections: Introduction, Methods, Results, Discussion
Length: No more than 400 words and max. one figure / table
Timetable
Note that the schedule is tentative and might evolve.
(all times in UTC0)
| Program | Time Slot |
|---|---|
| Welcome | 15:00 – 15:05 |
| Long Talks (7 minutes) | 15:05 – 16:05 |
| Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings - by Luc Builtjes | 15:05 - 15:15 |
| Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures - by Hartmut Häntze | 15:15 - 15:25 |
| Generative Diffusion Models for Fair Dermatology AI - by Nusrat Munia | 15:25 - 15:35 |
| Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction - by George Webber | 15:35 - 15:45 |
| A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation - by Tyler Ward | 15:45 - 15:55 |
| Enforcing Anatomical Consistency in Brain MRI Progression with Segmentation-Guided Latent Diffusion - by Cheng Wan | 15:55 - 16:05 |
| Short Talks (3 minutes) | 16:05-16:35 |
| Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images - by Toufiq Musah | 16:05 -16:10 |
| The impact of U-Net architecture choices and skip connections on the robustness of segmentation across texture variations by Amith Kamath | 16:10 -16:15 |
| Label-free estimation of clinically relevant performance metrics under distribution shifts - by Tim Flühmann | 16:15 - 16:20 |
| Synchronizing Medical Images Using AI For Enhanced Disease Diagnostics - by Gurnoor Dang | 16:20 - 16:25 |
| Slices of Insight: Zero-shot Bone CT segmentation for Promptable Foundation Models - by Caroline Magg | 16:25 - 16:30 |
| Segmentation of Arabidopsis Apical Stem Cells via a Dual Deep Learning Approach - by Guillermo Rey-Paniagua | 16:30 - 16:35 |
| Closing Remarks & Awards | 16:35 - 16:45 |
Organization
- Aisha Lawal, [email protected]
- Anna Wundram, [email protected]
- Anwai Archit, [email protected]
- Joshua Astley, [email protected]