# BVM2026 in Lübeck

Just wrapped up an incredibly inspiring two days at the BVM 2026 (German Conference on Medical Image Computing)!

I had the great honor of presenting our recent work, "Explainable Radiologist-Aligned VLM for CT Image Quality Assessment", during the poster session. It was a fantastic experience to share how we used QLoRA to fine-tune MedGemma-4B-IT, enabling it to provide radiologist-level interpretable feedback for CT images.

![](https://cdn.hashnode.com/uploads/covers/698c94f239413f8a70063736/b307b084-c1a8-4092-b284-e9ced35239a8.jpg align="center")

It was a privilege to connect with fellow researchers and domain experts in the medical AI field. We had some truly thought-provoking discussions about the limitations of current black-box models and exciting future directions for interpretable AI and Neuro-symbolic methods.

I was absolutely amazed by the exceptional quality of the other posters and presentations. Having the chance to interact face-to-face with the authors behind these outstanding works was invaluable and sparked many new ideas for my own upcoming Master's thesis!

A huge thank you to my amazing co-authors and supervisor for their continuous support: [Yipeng Sun](https://yipengsun.com/), [Siming Bayer](https://lme.tf.fau.de/person/sbayer/) and [Andreas Maier](https://lme.tf.fau.de/person/maier/). Looking forward to applying these fresh insights to my next research steps!

![](https://cdn.hashnode.com/uploads/covers/698c94f239413f8a70063736/9222423d-91c9-429d-8bb9-9594e03b8c95.jpg align="center")

#BVM2026 #MedicalImaging #ArtificialIntelligence #VLM #GenerativeAI #FAU #DeepLearning #Research