CBA Day – May 19, 2026

The Centre for Image Analysis is once again organizing the CBA day.

Our goal is to bring together researchers across Uppsala University who work with images as research data and who therefore need, develop, or use image analysis methods. We aim to showcase a broad range of application areas and attract participants from all disciplinary domains at UU.
By gathering this community, we hope to increase awareness of shared interests and available resources, facilitate new interactions, and spark discussions about potential collaborations and the many ways we can support one another.

The programme will combine short oral presentations, poster presentations, software demo-sessions, and thematic discussions – all focusing on image data and image analysis.

Registration

Please register here.

Last day to register is May 11. There are no registration costs, but registration is required to facilitate the organization of the event.

Program

(check for updates)

Oral presentations are in Room Å101195 'Heinz-Otto Kreiss'
Demos and digital posters are in Room Å101132
Registration, fika, mingle and Poster presentations are in
the Event area on the zero-th floor: Å100602

Confirmed poster presenters

• Amin Allalou (Dept of Information Technology)
  DanioReadout, Uppsala Zebrafish Service Facility
  
• Ewert Bengtsson (Dept of Information Technology)
  Evaluating treatment recommendations for prostate cancer given by an AI model
  
• Mo von Bychelberg (Dept of ALM)
  Preserving Digitalized Embodied Heritage Authentically: Perspectives on Digital and AI-Supported Archiving Strategies for Embodied Heritage
  
• Ashish Chauhan (Dept of Surgical Sciences)
  Time-Conditioned and Multi-Time Survival Prediction from PET/CT in Lung Cancer
  
• Markus Chou (Dept of Surgical Sciences)
  Large scale body composition quantification for diabetes association studies with AI-based MR image segmentation
  
• Roman Denkin (Dept of Information Technology)
  Squeeze-Release: Neural Networks Minimization
  
• Sara Florisson (Dept of Materials Science and Engineering)
  From Raw Images to Microstructural Metrics: A Complete Analysis Pipeline for Wood
  
• Alessia Giustolisi (Dept of Information Technology)
  Beyond the Image: Bayesian Clustering and Visualization for Multimodal Analysis of Imaging and Spatial Transcriptomics Data
  
• Cole Jetton (Dept of Materials Science and Engineering)
  Phase quantification in additive manufacturing powder through image segmentation
  
• Sofia Johansson (Dept of Materials Science and Engineering)
  Towards robust bubble detection in diverse microphysiological systems by machine learning
  
• Diogo de Matos Filipe (Dept of Cell and Molecular Biology)
  Imaging fusion of single viral particles using fluorescence microscopy
  
• Sharjeel Masood (Dept of Information Technology)
  Analyzing MSI spatial patterns for Multi-Modal image registration
  
• Love Nordling (Dept of Immunology, Genetics and Pathology)
  Robustness and Multimodal Transferability of Binary Spatial Cell
  Point-clouds for Lung Cancer Subtype Prediction
  
• Connie Mae Petroeschevsky (Dept of Chemistry for Life Sciences)
  A 3D printed jig for producing custom tapered nano-DESI capillaries for high spatial resolution MSI
  
• Olle Edgren Schüllerqvist (Dept of Information Technology)
  From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
  
• Suganya Sivagurunathan (BioImage Informatics Unit - SciLifeLab & Dept of Information Technology)
  AI-Based Image Analysis Single-Cell Quantification of Intracellular Signaling Pathways in Oral Keratinocytes using in Situ Proximity Ligation Assay
• Sajjad Rahmani Dabbagh (Dept of Information Technology)
  Dimensionality Reduction for Untargeted Analysis of Mass Spectrometry Imaging (MSI) Data
  
• Onur Ali Zeybekoglu (Dept of Information Technology)
  An Accessible Solution for Deformable Image Registration Compared with Learning-Based Approaches
  

Confirmed demo presenters

• Christophe Avenel (BioImage Informatics Unit - SciLifeLab & Dept of Information Technology)
  
• Can Deniz Bezek (Dept of Information Technology)
  VeloScan — Imaging Sound for Breast Cancer Diagnosis
  
• Olle Edgren Schüllerqvist & Joakim Lindblad (Dept of Information Technology)
  CytoBrowser: Collaborative Annotation and AI-Assisted Cell Analysis of Gigapixel Images in Your Web Browser
  
• Sophie Sanchez & Sifra Bijl (Tomography Support Center; Department of Organismal Biology)
  VGStudioMAX (Volume Graphics)
• Ida-Maria Sintorn (Dept of Information Technology) & Ankit Gupta (Dept of Biomedical Proteomics - KTH)
  SimSearch: A powerful tool in the work with biological microscopy images
  

Partners' presentations

• InfraVis - The National Research Infrastructure For Data Visualization

Looking forward to seeing you at the CBA day!

For more information, please contact:
Nataša Sladoje natasa.sladoje@it.uu.se