Members

Nataša Sladoje

Nataša Sladoje
Professor, Group leader

Joakim Lindblad

Joakim Lindblad
Professor, Group co-leader

Swarnadip Chatterjee

Swarnadip Chatterjee
PhD Student

Marco Acerbis

Marco Acerbis
PhD Student

Olle Edgren Schüllerqvist

Olle Edgren Schüllerqvist
PhD Student

Nitigya Sambyal

Nitigya Sambyal
Postdoctoral fellow


Alumni

Chufeng Zhang, Master student (2025)
Multimodal Image Registration using Contrastive Image Representation

Nora Derner, Master student (2025)
Evaluating Channel Importance in Deep Learning-based Multimodal Cytopathological Image Classification

Olle Edgren Schüllerqvist, Master student (2025)
Human-in-the-Loop Deep Learning for Oral Cancer Screening: An Active Learning Approach

Ida Åkerholm, Master student (2025)
Automated and Intelligible Oral Cancer Detection by Positive Unlabeled Learning

Love Nordling, Master student, PhD student (2022-2025)
Contrastive Multimodal Image Representations for Deformable Image Registration

Nadezhda Koriakina, PhD student (2018-2024)
Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection

Marc Fraile, PhD student (2020-2024)
Computer Vision and Explainability in Human-Human and Human-Robot Interaction

Wenyi Lian, Master student (2024)
Intermediate Multimodal Information Fusion for Improved AI-based Cancer Detection

Jens Baumann, Master student (2024)
AI-based Analysis of Multiplex Microscopy Images of Cancer Tissue for Immunotherapy Response Prediction: Cell-Graph-Based Lung Cancer Survival Prediction

Linus Falk, Master student (2024)
Multimodal image registration by end-to-end CoMIR representation learning

Elias Ekstedt, Master student (2024)
Evaluation of State-of-the-Art Concept-Based Explainable Artificial Intelligence Methods in Extraction of Meaningful Information from Oral Cancer Data

Elisabeth Wetzer, PhD student (2017-2023)
Representation Learning and Information Fusion: Applications in Biomedical Image Processing

Roman Denkin, Master student (2023)
Prediction of the gain in classification performance from combining multiple imaging modalities

Johan Öfverstedt, Master student, PhD student, Researcher (2017-2023)
Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations

Jiahao Lu, Master student, Guest researcher (2019-2021)
Evaluation of Learning-based Methods for Multimodal Biomedical Image Registration

Jo Gay, Master student (2019)
Structural representation models for multi-modal image registration in biomedical applications

Amit Suver, PhD student (2015-2019)
Methods for Processing and Analysis of Biomedical TEM Images

Teo Asplund, PhD student (2015-2019)
Precise Image-Based Measurements through Irregular Sampling

Buda Bajić, PhD student, Guest researcher (2014-2019)
Methods for image restoration and segmentation by sparsity promoting energy minimization

Anindya Gupta, Guest PhD student (2016-2018)
Classification and Denoising of Objects in TEM and CT Images Using Deep Neural Networks