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Computational Imaging Research Lab (CIR)

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The CIR lab is an interdisciplinary research group of scientists from medicine, computer science and mathematics.

CIR is a division of the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna conducting research at the interface of medical imaging, machine learning, and precision medicine. 

Our goal is to understand how to extract relevant knowledge from medical images, to model the relationship between images and biological mechanisms, and to develop methods for predicting individual disease course and treatment response. CIR lab is an international interdiscriplinary team with colleagues of diverse backgrounds joining projects with impact in science and patient care. CIR is a part of the Artificial Intelligence and Machine Learning Community at MedUni Wien.

ECR'24 Pixel Pandemonium

CIR is coorganizing the Pixel Pandemonium at ECR'25. It will host cutting edge machine learning demos in the area of radiology, and bring together the medical imaging, machine learning, and image computing communities. 

It is a collaboration of the European Society of Radiology, the European Institute for Biomedical Imaging Research Joint Initiative on AI for Medical Imaging (AI4MI).

Submit your demo here, until December 2024: https://www.eibir.org/pixelpandemonium/

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AI links phenotype and transcriptomics in brain cancer

New paper by Thomas Roetzer-Pejrimovsky et al. shows how deep learning can map the spatial distribution of transcriptional subtypes and particularly regions in digital pathology data. The results demonstrate how machine learning enables image mining in brain cancer. 

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AI as a cathalyst of integrated diagnostics?

A new editorial reviewing the role of AI in integrated diagnostics, and multidisciplinary team work. Published in Radiology Jul 30th 2024.

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MICCAI 2024 - CIR is co-organizing two workshops in Sep'24

We are thrilled to co-organize two significant events at the international conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in Marrakesh on October 6, 2024: the Fetal Brain Tissue Segmentation and Annotation (FeTA) 2024 and the 9th workshop on Perinatal, Preterm, and Pediatric Image Analysis (PIPPI).

For more information on FeTA, visit the FeTA Challenge 2024. Details about PIPPI can be found at the PIPPI Workshop 2024.
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