Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computational techniques for health data.
Joined July 2021
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Borderless research group retweeted
🔎 New method in #MICCAI24 for distilling image data, analysing latent graphs, reducing the need for extensive datasets in histopathology. This allows for the creation of a small set of synthetic images that encapsulate the most critical information from large datasets.
🏆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 retweeted
Fully synthetic datasets are becoming a reality. We show how to make them in @reynaud_h et al.'s latest #MICCAI24 work. Such datasets promise to solve significant data-sharing challenges in medicine by ensuring complete patient privacy, as it contains no data from real patients
🚨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 🌟
Borderless research group retweeted
💨 We explored @geoffreyhinton's forward-forward ⏩⏩ learning concept and discovered some new methods to deliver rapid and resource-efficient adaptable #MachineLearning for numerous tasks in medical image analysis. More to come... ⏩⏩
🚀🩻 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
Borderless research group retweeted
Very nice idea to illustrate what we are doing @BorderlessSci during a talk. Thanks a lot to @JensKleesiek and the excellent etim.uk-essen.de/ event for this!
Borderless research group retweeted
Fantastic work about interpretability constraints in large multi-modal language-vision #MachineLearning models by @DombrowskiMN presented @RealAAAI this week (oral).
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
Borderless research group retweeted
📢📢📢 Job alert: new PhD position #MachineLearning for automated in-distribution testing together with industry hosted in Bavaria. de.indeed.com/viewjob?jk=3cf…
Borderless research group retweeted
Very successful #MICCAI MOOD challenge medicalood.dkfz.de/web/ with our Team SubmitSomething winning all categories 🎉🎉
@aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023
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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
Borderless research group retweeted
🎓Interested in pursuing fully-funded PhD or PostDoc research in (medical) image computing or explainable machine learning in general?
🚨We are currently hiring in our xAI-Lab @uni_bamberg_of
Get in touch and we can chat at #MICCAI2023 @MICCAI_Society
Details below.
Borderless research group retweeted
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
Borderless research group retweeted
Interested in topology preserving brain segmentation? Check out Liu Li’s poster at #MICCAI2023
Borderless research group retweeted
Conditional Temporal Attention Networks for cortical surface reconstruction by @QiangMa_ at #MICCAI2023
Borderless research group retweeted
Image synthesis could revolutionize clinical practice. @reynaud_h developed a method to generate video sequences from single images in echocardiograms. 🚀🏥 Better by 38 points! @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 arxiv.org/abs/2303.12644 poster W-06-037
Borderless research group retweeted
Addressing motion in abdominal MRI, especially in IBD patients, we propose a deep adversarial super-resolution approach that corrects motion artefacts without needing detailed intestine knowledge or paired data. 🏥🖼️ @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 W-06-062
Borderless research group retweeted
Good morning MICCAI!
MICCAI Daily of today (Wednesday)
Important community information at page 23!
Great poster reviews, great interviews and 5 mind-blowing slides of keynote Yann LeCun.
==> rsipvision.com/MICCAI2023-We…
Happy reading and have a great day at MICCAI 2023!
@RSIPvision
Borderless research group retweeted
CoTAN for rapid, high-accuracy neonatal brain cortical surface reconstruction using MRI. With conditional attention mechanisms, @QiangMa_ efficiently predicts surface deformations, achieving minimal errors. 🧠👶 @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 W-05-023
Borderless research group retweeted
#ML in medical image segmentation struggles with topological accuracy. We introduce the Euler Characteristic (EC) for efficient and accurate topological constraints, enhancing segmentation quality. 🧠🖼️ @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 W-05-090
Borderless research group retweeted
Come and see Shuting’s poster on predicting outcome after stroke at #MICCAI2023
Borderless research group retweeted
On page 2 of @RSIPvision today #MICCAI2023 @BioMedIAICL student @QiangMa_ rsipvision.com/MICCAI2023-We… with @DanielRueckert and @BernhardKainz1
