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DECEMBER 14TH, 2022
By BANU PLUIE
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JANUARY 7TH, 2019
By BANU PLUIE
22. Liquid State Symposium (22. Sıvı Hal Senpozyumu) took place on 7th December 2018 in Piri Reis University.
It was very proud to be together with the physicist academics I knew and admired since my undergraduate years.
I find myself lucky to see the Prof. Zehra Akdeniz that I have always admired and exemplified. I could finally meet Prof. Nihat Berker who is not only a famous physicist but also an intellectual on comparative literature readings.
Thanks to Dr. Ozan Sarıyer and Dr. Gulsen Evingur for organizing this meeting.
Prof Pekkan presented biological flow researches of his lab, and I presented a sample case of a pediatric aortic blood flow comparison study which is done with the great help of Dr. Ece Salihoglu.
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APRIL 16TH, 2018
By BANU PLUIE
The Mimics Innovation Suite (MIS) allows you to automate your workflows, potentially saving a lot of time, achieving more consistency, and reducing repetitive work and human error. That is an easy thing to say, but if you do not have much experience with scripting, we all know that it can be tough to get started. If you want to speed up your learning curve and get a head start, then this could be an interesting training for you.
Topics will include:
Basics of Optimizing your Workflow in Mimics 21 and 3-matic 13
How to write your first scripts
Introduction to Python
Hands-on training exercises for creating planning workflows (e.g. loading datasets, performing basic segmentation steps, landmarking, creating anatomical coordinate systems, designing custom implants)
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MARCH 17TH, 2016
By BANU PLUIE
Materialise provided a Mimics Innovation Course on Soft Tissue.
This training was very informative and well-presented with all soft tissue samples, text book and datasets.
I used 3-Matic for the first time, and got confidence about many things about design and meshing. We could also discuss our own projects and could ask possible options of Mimics Innovation Suite.
Learning about the news about scripting possibilities to automate the workflow, and ADam (Materialise Anatomical Data Mining) for shape optimisation was encouraging.
Thank you for sharing your knowledge with us, Karen de Leener and Inés da Silva.
Thank you for the great help of Job der Kinderen.