Members
Nataša Sladoje
Professor, Group leader
Joakim Lindblad
Professor, Group co-leader
Olle Edgren Schüllerqvist
PhD Student
Jens Baumann
PhD Student
Junming Ma
Research intern
Alumni
Swarnadip Chatterjee, PhD student (2021-2026)
Learning from Normality in Computational Cytology: Deep Learning Methods for Rare Abnormal Cell Detection in Monomodal and Multimodal Cytology Images
Nitigya Sambyal, Postdoctoral fellow (2024-2026)
AI-based Analysis of the Cancer Microenvironment based on Multiplex Microscopy
Marco Acerbis, PhD Student (2024-2026)
Interpretable AI-based Multimodal Image Analysis for Cancer Detection and Therapy Planning
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