- Forschungsgruppen
- Bohle Barbara - Allergy Research
- Breiteneder Heimo - Biotechnology & Biochemical Diagnostics
- Bublin Merima - Allergen Biology
- Ellinger Isabella - Pathophysiology of the Placenta
- Flicker Sabine - Antibody Research
- Focke-Tejkl Margarete - Immunochemistry
- Hoffmann-Sommergruber Karin - Molecular Allergology
- Jensen-Jarolim Erika - AllergoOncology
- Kallay Enikö - Tumour Pathology
- Linhart Birgit - Pathomechanisms of Allergy
- Ma Yan - Molecular Research in Traditional Chinese Medicine
- Mechtcheriakova Diana - Molecular Systems Biology and Pathophysiology
- Pietschmann Peter - Bone Research
- Radauer Christian - Biochemistry and Bioinformatics
- Untersmayr-Elsenhuber Eva - Gastrointestinal Immunology
- Valenta Rudolf - Molecular Immunopathology
- Vrtala Susanne - Immunotechnology
- Bohle Barbara - Allergy Research
- Auszeichnungen
- Förderungen
- SFB
- CCHD
- IAI
- MCCA
- Christian Doppler Labs
Research Group: Pathophysiology of the Placenta
Welcome to the “Pathophysiology of the Placenta” Group, headed by Isabella Ellinger. We are part of the Institute for Pathophysiology and Allergy Research at the Center for Pathophysiology, Infectiology and Immunology at the Medical University of Vienna, Austria.
Missions
I am a dedicated lecturer (first mission) and researcher (second mission) and with my work aim at contributing to the three main cornerstones of the academic system of the MedUni Vienna that are research, education and patient care. I am convinced of the importance of third mission activities; thus, I persue an intense exchange on science with people of all ages. As a member of two female scientists networks (WISIA, WNWmed), I am also a passionate advocate of empowerment of women in science. Overall, my activities align to UN sustainable development goals (SDGs) 3 and 4 and thus shall 1) ensure healthy lives and promote well-being for all at all ages and 2) foster lifelong learning for all.
Finally, I hope that we can make our Institute and University more sustainable. Thus, we initiated Green IPA
- First Mission l Teaching
- Medical University of Vienna
- Other Universities
- Second Mission l Research
- Studying placental functions under physiologic and pathologic conditions
- Advancing automated microscopy
- Providing IFM-expertise in collaborations
Third Mission l Science Education and Scientific Communication
Medical University Vienna, represented by Isabella Ellinger and Amirreza Mahbod from Insitute for Pathophysiology and Allergy Research, Georg Dorffner from Institute for Artificial Intelligence and Adi Ellinger, together with a team from TissueGnostics GmbH (Rudolph Jedletzberger, Leon Kirsanov, Karly Briffa, Anastasiia Marchuk) presented their common FFG-funded project "Deep Learning-based knowledge transfer methods for nuclei segmentation in microscopic images".
People of all ages were able to see the difference between classic microscopy and computer-aided image acquisition. Games and quizzes allowed them to learn how deep learning-based algorithms enable image analysis.
Editorial: Mahbod A, Ellinger I. Special Issue on “Advances in Skin Lesion Image Analysis Using Machine Learning Approaches”. Diagnostics. 2022; 12(8):1928. https://doi.org/10.3390/diagnostics12081928
Skin diseases are widespread and a frequent occurrence in general practice. Providing access to medical care and high accuracy of diagnosis are important issues, specifically when it comes to distinguishing benign conditions from malignancies such as melanomas that require rapid diagnosis and treatment.
The aim of this Special Issue is to present the most recent advances in the use of machine learning approaches for various skin lesion image analysis tasks, including but not limited to skin lesion classification, skin lesion segmentation, interpretable AI-based systems for skin lesion analysis, and robust pre- and post-processing approaches to increase diagnostic performances.
2022-07-21
With their lecture "Cell City" Isabella and Adi Ellinger celebrated their 15th anniversary at Children University Vienna.
Schnellinfo
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