CBA Day – May 20, 2025
Date and time: 20 May 2025, 10:00 - 16:30
Place: Ångström laboratory, House 10, First floor
The Centre for Image Analysis is once again organizing the CBA day.
Our aim is to bring together researchers from Uppsala University who work with images as research data and therefore need, develop, and/or use image analysis methods. We aim to present diverse application areas and to attract participants from all the UU disciplinary domains.
We wish to increase awareness of mutual interests and available resources, facilitate interactions, and discuss possible collaborations and diverse ways to support each other.
The programme combines short oral presentations, poster presentations, software demo-sessions, and thematic discussions - all focusing on image data and image analysis.
Registration
It is no longer possible to register, the day has passed. Thanks to all who helped making it such a great day! See you next time!
There are no registration costs, but registration is required to facilitate organization of the event.
Program
(check for updates)
Oral presentations are in Room Å101195 'Heinz-Otto Kreiss'
Poster presentations are in the hallway in front of Room Å101195
Fika, mingle and Software demos are in the hallway and in Room Å101132
Time & Place | What | Who |
10:00 - 10.15 In front of 101195 | Registration and coffee/sandwich | |
10.15 - 10.20 Room: 101195 | Opening & welcome | Nataša Sladoje (Director of Centre for Image Analysis) |
10.20 - 10.55 Room: 101195 | Oral presentations | Filipe Maia (Dept of Cell and Molecular Biology) "Ultrafast nanoscale biological imaging" |
Andreas Thor (Department of Surgical Sciences) | ||
10.55 - 11.15 Room: 101195 | Poster pitches 1 | |
11.15 - 12.10 In front of 101195 | Coffee & Poster presentations & Mingle | |
12.10 - 12.30 Room: 101195 | Oral presentations | Anna Klemm (Dept of Information Technology, BIIF - SciLifeLab/NBIS) "BIIF: Providing BioImage Analysis Support in Sweden" |
Sifra Bijl (Dept of Organismal Biology, EBC) | ||
12.35 - 13.40 | Lunch | |
13.40 - 14.15 Room: 101195 | Oral presentations | Matteo Magnani (Dept of Information Technology) "Image analysis for the study of social communication" |
Nikolai Piskunov (Dept of Physics and Astronomy) "Image processing in astronomical spectroscopy" | ||
14.20 - 14.45 Room: 101195 | Poster pitches 2 | |
14.45 - 15.40 Room: 101132 & In front of 101195 | Coffee/cake & Posters & Software demos & Mingle | |
15.40 - 16.15 Room: 101195 | Oral presentations | Anna Foka (Dept of ALM; Centre for Digital Humanities and Social Sciences) |
Patrick Micke (Dept of Immunology, Genetics and Pathology) "Multidimensional image analysis of tissue sections for biomarker discovery" | ||
16.15 - 16.20 Room: 101195 | Closing | Nataša Sladoje (Director of CBA) |
Confirmed poster presenters
- Amin Allalou (Dept of Information Technology)
DanioReadout, Uppsala Zebrafish Service Facility - Marco Acerbis (Dept of Information Technology)
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology - Swarnadip Chatterjee (Dept of Information Technology)
Detection of extremely sparse key instances in whole slide cytology images via self-supervised one-class representation learning - Lucie Davidová (Dept of Chemistry - BMC)
Novel semi-untargeted quantification strategy for spatial metabolomics - Maria Correia de Verdier (Dept of Surgical Sciences)
The 2024 brain tumor segmentation challenge:
Glioma segmentation on post-treatment MRI (BraTS-PTG) - Linus Falk (Dept of Surgical Sciences)
A data-driven SSM/PCA analysis approach for differential diagnosis of Parkinsonism using 11C-PE2I PET - Johanna Gebhard (Dept of Cell and Molecular Biology)
Reconstructing the assembly of two algal bloom-regulating viruses with cryo-electron microscopy & tomography - Erik Hallström (Dept of Information Technology)
Rapid bacterial identification using time-lapse phase-contrast microscopy, microfluidics, and deep learning - Nadezhda Koriakina (Dept of Materials Science and Engineering)
Applying machine learning to analyse data from organs-on-chip - Love Nordling (Dept of Immunology, Genetics and Pathology)
How Much Information Is Lost? Spatial Learning Recovers Tumor Subtype From Minimal Spatial Features - Varun Sharma (Dept of Chemistry - BMC)
Imaging steroid regioisomers using silver cationisation - Gillian Simpson (Dept of Ecology and Genetics)
A bird's-eye view: Drone-based monitoring of wetland vegetation - Roberta Vakruchev (Dept of Organismal Biology, EBC)
Surface analysis of the growth plates in mammal limb bones - Jan von Bonsdorff (Dept of Art History)
Mapping the Metaphor in Vintage Advertisements Using AI Tools - Hui Yu (Dept of Immunology, Genetics and Pathology)
Nerve innervation in solid tumor - Onur Ali Zeybekoglu (Dept of Information Technology)
Learning Image Registration with Variational Neural Networks - Johan Öfverstedt (Dept of Surgical Sciences)
Automated integration of clinical and radiological image data for prediction and association studies
Software presenters
- Christophe Avenel (Dept of Information Technology, BioImage Informatics Facility - BIIF, SciLifeLab/NBIS)
TissUUmaps: interactive visualization, exploration, and quality assessment of large-scale spatial omics data - Can Deniz Bezek (Dept of Information Technology)
Interactive Quantitative Ultrasound: Measurement and Imaging of Speed-of-Sound in Tissue - Olle Edgren Schüllerqvist (Dept of Information Technology)
CytoBrowser: Collaborative annotation and analysis of gigapixel images in your web browser
Partners' presentations
- BIIF - The National SciLifeLab/NMI BioImage Informatics Facility
- InfraVis - The National Research Infrastructure For Data Visualization
- Tomography Support Center
Looking forward to seeing you at the CBA day!
For more information, please contact:
Nataša Sladoje natasa.sladoje@it.uu.se