Borderless research group

Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computational techniques for health data.

[Bernhard Kainz @BernhardKainz1]

🔎 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.

[Bernhard Kainz @BernhardKainz1]

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

[Bernhard Kainz @BernhardKainz1]

💨 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... ⏩⏩

[Bernhard Kainz @BernhardKainz1]

Very nice idea to illustrate what we are doing @BorderlessSci during a talk. Thanks a lot to @JensKleesiek and the excellent https://t.co/zsuH4aadgJ event for this!

[Bernhard Kainz @BernhardKainz1]

Fantastic work about interpretability constraints in large multi-modal language-vision #MachineLearning models by @DombrowskiMN presented @RealAAAI this week (oral).

[Bernhard Kainz @BernhardKainz1]

📢📢📢 Job alert: new PhD position #MachineLearning for automated in-distribution testing together with industry hosted in Bavaria. https://t.co/0GfcUm7wbH

[Bernhard Kainz @BernhardKainz1]

Very successful #MICCAI MOOD challenge https://t.co/MpTyOM14bq with our Team SubmitSomething winning all categories 🎉🎉
@aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023

https://t.co/jtnn3hIVoS

https://t.co/IG8bRe0mpn

[Borderless research group @BorderlessSci]

@MertBTwit presenting our #MICCAI223 MOOD challenge submission

[Christian Ledig @LedigChr]

🎓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.

[Bernhard Kainz @BernhardKainz1]

Bye #MICCAI2023

[Bernhard Kainz @BernhardKainz1]

Self-supervised single-class strategies with histogram-equalised gradient upscaling are showing promise. @Hanna_Paulaluap ‘s approach surpasses existing benchmarks. 🧠🔍
#MICCAI23 UNSURE
https://t.co/xIs9JcwbmK
@aibe_fau @BioMedIAICL @BorderlessSci #MICCAI2023

[Daniel Rueckert @DanielRueckert]

Interested in topology preserving brain segmentation? Check out Liu Li’s poster at #MICCAI2023

[Daniel Rueckert @DanielRueckert]

Conditional Temporal Attention Networks for cortical surface reconstruction by @QiangMa_ at #MICCAI2023

[Bernhard Kainz @BernhardKainz1]

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 https://t.co/j9z6tp47Rm poster W-06-037

[Bernhard Kainz @BernhardKainz1]

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

[RSIP Vision @RSIPvision]

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.
==> https://t.co/QeNOxV8hoD
Happy reading and have a great day at MICCAI 2023!
@RSIPvision

[Bernhard Kainz @BernhardKainz1]

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

[Bernhard Kainz @BernhardKainz1]

#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

[Daniel Rueckert @DanielRueckert]

Come and see Shuting’s poster on predicting outcome after stroke at #MICCAI2023

[Daniel Rueckert @DanielRueckert]

Another great poster from @BioMedIAICL by @BintsiMargarita at #MICCAI2023