
🏆Big announcement! Our paper Image Distillation for Safe Data Sharing in Histopathology has been accepted by #MICCAI2024 @BernhardKainz1 arxiv.org/abs/2406.13536
Borderless research group
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@BorderlessSci
Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computational techniques for health data.

🏆Big announcement! Our paper Image Distillation for Safe Data Sharing in Histopathology has been accepted by #MICCAI2024 @BernhardKainz1 arxiv.org/abs/2406.13536

🚨Our latest work on data generation, privacy preservation and surrogate datasets has been (early-)accepted at #MICCAI24 ! And the generation process 120x faster than last year ! 🚀 🌟EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing 🌟

🚀🩻 Great News! Our paper on Resource-efficient Forward-Forward networks without Back-propagation for Medical Imaging Analysis has been accepted to the #MLMI workshop at MICCAI 2024!🌍💫 @MICCAI_Society @BorderlessSci @aibe_fau @UniFAU @BernhardKainz1 arxiv.org/abs/2406.14038



Thrilled to announce that this week, I had the fantastic opportunity to present our paper 'Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability' as an oral presentation at @RealAAAI as part of the main conference - Safe, Robust, and Responsible AI Track



Self-supervised single-class strategies with histogram-equalised gradient upscaling are showing promise. @Hanna_Paulaluap ‘s approach surpasses existing benchmarks. 🧠🔍 #MICCAI23 UNSURE arxiv.org/abs/2303.13227 @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023




















