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Reposted by Bernhard Kainz

Machine Learning for Biomedical Imaging @melbajournal.bsky.social · 03/06/2025

📢 MELBA is growing its editorial team! We’re excited to welcome three new Associate Editors who bring outstanding expertise in machine learning and biomedical imaging. Welcome to: 🔹 @bernhardkainz.bsky.social 🔹 @mariavak.bsky.social 🔹 Lisa Koch We’re thrilled to have you on board! 🚀

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Bernhard Kainz @bernhardkainz.bsky.social · 10/12/2024

Congratulations to Qiang Ma for passing his PhD viva yesterday evening! And thanks to Bruce Fischl and Abhijeet Ghosh for acting as examiners!

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Reposted by Bernhard Kainz

Daniel Rueckert @danielrueckert.bsky.social · 05/12/2024

Congratulations to Liu Li for passing her PhD viva today! And thanks to Björn Menze and Björn Schuller for acting as examiners!

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Reposted by Bernhard Kainz

Daniel Rueckert @danielrueckert.bsky.social · 06/12/2024

Great BioMedIA Christmas party at Imperial!

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Reposted by Bernhard Kainz

Athanasios Vlontzos, PhD @vlontzos.bsky.social · 25/11/2024

Thank you to my co-authors @bernhardkainz.bsky.social and C. Müller

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Reposted by Bernhard Kainz

Emma Robinson @OHBM 2026 @metricsemma.bsky.social · 22/11/2024

Looking for a London PhD? The London interdisciplinary social science DTP takes student designed PhD projects in a very broad range of topics from health innovation to sustainability and public policy liss-dtp.ac.uk

liss-dtp.ac.uk

Home - LISS DTP

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Bernhard Kainz @bernhardkainz.bsky.social · 06/10/2023

yes, exactly. Ensembles of methods usually achieve the best performance for challenging problems like this.

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

I mean the hidden biases can be learned, not only the known parameters. One can check with a parametrised model if a new input conforms with all the biases in a specific downstream model. This does not necessary need to be ethnicity but could be a combination of latent factors.

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

finding a method that allows us to estimate how suitable a model is for a given patient... This solves only one side of the problem but bias is not necessarily 'bad'. After all, 'patient specific' means 100% bias towards one specific patient. Triage and patient stratification will be key in future.

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

The 4th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) - a workshop held in conjunction with #MICCAI23 is only a few days away. Join us on Sunday 8️⃣ Oct from 8️⃣ AM in Meeting Room 8️⃣ Vancouver Convention Center East Building Level 1. miccai-ultrasound.github.io#/asmus23

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Multiple Instance Learning for Axillary Lymph Node Metastasis (DEMI) x.com/Hanna_Paulal...

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Lesion-Level Data Augmentation for Segmentation (DALI) arxiv.org/abs/2308.09026

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Probabilistic Self-Supervised Image Anomaly Localisation (UNSURE) x.com/Hanna_Paulal...

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Synthetic Data Enrichment for Robust Image Segmentation in Kidney Transplant Pathology (DART) arxiv.org/abs/2304.09534

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Neonatal Cortical Surface Reconstruction arxiv.org/abs/2307.11870

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Unsupervised anomaly localisation with synthetic tasks arxiv.org/abs/2307.00899

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI link.springer.com/chapter/10.1...

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Robust Segmentation via Topology Violation Detection link.springer.com/chapter/10.1...

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

- Cascaded Diffusion Models to generate echocardiogram videos x.com/reynaud_h/st...

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Bernhard Kainz @bernhardkainz.bsky.social · 05/10/2023

Getting ready for #MICCAI23! group -> @CityofVancouver ✈️ 📢 This year we present work on 🧵:

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Bernhard Kainz @bernhardkainz.bsky.social · 01/10/2023

#HiSciSky! My team and I are immersed in the world of intelligent algorithms for #MedicalImaging. We are on a mission to redefine real-time diagnostics especially for early detection and health screening. We explore normative machine learning to help defining what ought to be physiologically normal.

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Bernhard Kainz @bernhardkainz.bsky.social · 01/10/2023

Hello BlueSky. Yet another platform or better?

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