Bernhard Kainz

22 Followers
12 Following
4 Posts
2xDad, DL practitioner, real-time computing fanatic, Prof. at AIBE, FAU Erlangen, Reader at DoC, Imperial College London, advisor at ThinkSono, former chef
Websitehttps://bernhard-kainz.com/
Google Scholarhttps://scholar.google.com/citations?user=Igxq-YEAAAAJ&hl=en&oi=ao

Causal machine learning sounds very intriguing but comes with unique challenges especially for medical image analysis. Together with @vlontzos and Daniel Rueckert we explore the state of affairs in the literature about this fascinating topic. More to come...

(No quote boost on Mastadon? let’s see https://sigmoid.social/@vlontzos/109433588748912219).

Athanasios (Thanos) Vlontzos (@[email protected])

🚨in our latest paper with @BernhardKainz and D. Rueckert, published in MELBA https://melba-journal.org/papers/2022:028.html we survey the current state of the art in medical imaging and causality. We definitely can foresee some exciting advances when combining the fields

Sigmoid Social

#introduction

I am a Computer Scientist interested in medical image analysis with machine learning. I am working at FAU Erlangen-Nürnberg and Imperial College London.
I am most interested in intelligent algorithms in healthcare and in joint human-AI decision making. Currently I am reading a lot of papers about unsupervised learning.