2023 Workshop on imaging data
UEF Workshop on Imaging Data — 22 May 2023 @ Kuopio
UEF Workshop on Imaging Data will gather together researchers around UEF working with imaging data. The research day provides UEF researchers a place to meet colleagues working with similar types of data and to exchange knowledge. Researchers who collect or analyze imaging data as well as researchers developing methods to analyze imaging data are both welcome.
The research day’s program one keynote presentation by Prof. Vesa Kiviniemi from University of Oulu and short invited presentations from UEF’s research groups.
The day is open and free for everyone. For planning coffee and transport, we request registration by 13 May 2023. [Register here] Transport from/to Joensuu campus is going to be arranged!
If you want to present your own research, you can sign-in to provide a lightning talk. They will max 2 minutes in length and can contain up 3 slides. The organizers would urge PhD student and post-docs working with imaging data to give a talk in this event. This can truly open up new and important collaborations.
Sign-up to give a lightning talk here.
The deadline for lightning talks is (extended) to 10th May 2023. (Please remember also to fill-in the registration form as the coffee service and transport from/to Joensuu will be based on information in that form)
Time and Place
22 May 2023 at Kuopio campus, lecture hall MD100. Program runs between 10 am and 5 pm with morning coffee served at 9.30 am and afternoon coffee served at 4 pm. Lunch break (on your own) is at noon.
Program at a Glance
9:30 – 10:00 | Coffee | |
10:00 – 11:00 | Vesa Kiviniemi, University of Oulu | Imaging and therapeutic approaches to the brain glymphatic system |
11:00 – 11:30 | Juhana Hakumäki, Kuopio University Hospital & UEF | From digital images to metadata – Emerging opportunities for radiological data mining |
11:30 – 11:50 | Olli Gröhn, Biomedical Imaging Unit, UEF | Biomedical Imaging Unit – Research activities in European level infrastructure |
11:50 – 12:10 | Sylvain Tollis, Institute of Biomedicine, UEF | Noise and auto-fluorescence removal in time-resolved single photon counting applications |
12:10 -13:00 | Lunch (on your own) | |
13:00 – 13:20 | Sami Väänänen, Kuopio University Hospital & UEF | Machine learning and deep learning techniques could improve DXA-based fracture prediction |
13:20 – 13:40 | Baran Aydogan, A.I. Virtanen Institute, UEF | Challenges and promises of diffusion MRI-based tractography |
13:40 – 14:00 | Miguel Villoslada, Digital Geosciences Lab, UEF | Eye in the sky: Combining Unmanned Aerial Systems with satellite data to unveil shrubification patterns in the subarctic tundra |
14:00 – 14:20 | Jari Vauhkonen, Forest Planning, UEF | Deep learning for forestry decision processes |
14:20 – 14:40 | Antti Lipponen, Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute | Eyes on the Sky: How Satellite Remote Sensing is Paving the Way for Improved Air Quality Monitoring |
14:40 – 15:00 | Timo Lähivaara, Department of Technical Physics, UEF | Seismic monitoring of water table level and volume of water in a porous storage |
15:00 – 15:10 | Break | |
15:10 – 16:00 | Lightning talks (please see below) | |
16:00 – 16:30 | Coffee & lightning talk discussion | |
16:30 – 16:45 | Wrap-up |
Lightining talks
Farzad Jahangiri | Biopesticides |
Tomi Nissinen, Department of Technical Physics, University of Eastern Finland / Kuopio University Hospital | Predicting fragility fractures with machine learning |
Sonja Koivukoski, Institute of Biomedicine, UEF | Unstained tissue imaging and virtual HE-staining of histological whole slide images |
Elaheh Moradi, A.I. Virtanen Institute for Molecular Sciences , University of Eastern Finland | Machine learning prediction of future amyloid β positivity in amyloid-negative individuals |
Heta Orava, Department of Technical Physics, Biophysics research group, UEF | Triple contrast-enhanced computed tomography of human knee joint |
Raimo Salo, A. I. Virtanen Institute, University of Eastern Finland | Brain tissue compartments and their contribution to diffusion MRI signal |
Omar Narvaez, A. I. Virtanen Institute, University of Eastern Finland | Unsupervised tissue classification by massively multidimensional diffusion-relaxation correlation MRI |
Gudhe Raju, Institute of Clinical Medicine, Pathology and Forensic Medicine | From Pixels to Insights: Evidential Deep Regression for Mammogram Percentage Density Estimation |
Mustafa Beter, DPMM AIVI, UEF | SproutAngio: an open-source bioimage informatics tool for quantitative analysis of sprouting angiogenesis and lumen space |
Mastaneh Torkamani-Azar, A.I. Virtanen Institute, UEF | Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgery |
Main organizers
Jussi Tohka, A.I. Virtanen Institute, UEF
Pauli Miettinen, School of Computing, UEF