Borderless research group @BorderlessSci
Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computational techniques for health data. idea.tf.fau.eu Joined July 2021-
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🔎 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.
🔎 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.
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
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
💨 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... ⏩⏩
💨 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... ⏩⏩
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!
Fantastic work about interpretability constraints in large multi-modal language-vision #MachineLearning models by @DombrowskiMN presented @RealAAAI this week (oral).
Fantastic work about interpretability constraints in large multi-modal language-vision #MachineLearning models by @DombrowskiMN presented @RealAAAI this week (oral).
📢📢📢 Job alert: new PhD position #MachineLearning for automated in-distribution testing together with industry hosted in Bavaria. de.indeed.com/viewjob?jk=3cf…
Very successful #MICCAI MOOD challenge medicalood.dkfz.de/web/ with our Team SubmitSomething winning all categories 🎉🎉 @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 x.com/bernhardkainz1… x.com/bernhardkainz1…
Very successful #MICCAI MOOD challenge medicalood.dkfz.de/web/ with our Team SubmitSomething winning all categories 🎉🎉 @aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023 x.com/bernhardkainz1… x.com/bernhardkainz1… https://t.co/RmdI4dNGcK
🎓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.
Bye #MICCAI2023
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
Interested in topology preserving brain segmentation? Check out Liu Li’s poster at #MICCAI2023
Conditional Temporal Attention Networks for cortical surface reconstruction by @QiangMa_ at #MICCAI2023
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
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
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-Wed… Happy reading and have a great day at MICCAI 2023! @RSIPvision
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
#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
Come and see Shuting’s poster on predicting outcome after stroke at #MICCAI2023
Another great poster from @BioMedIAICL by @BintsiMargarita at #MICCAI2023
On page 2 of @RSIPvision today #MICCAI2023 @BioMedIAICL student @QiangMa_ rsipvision.com/MICCAI2023-Wed… with @DanielRueckert and @BernhardKainz1

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Johanna P Mueller @Hanna_Paulaluap
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