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Main: Supervision

PhD student supervision

Current students

• Love Nordling, Dept. of Immunology, Genetics and Pathology, Uppsala University (Co-supervisor)
• Marc Fraile Fabrega, Dept. of Information Technology, Uppsala University (Co-supervisor)
• Nadezhda Koriakina, Dept. of Information Technology, Uppsala University (Co-supervisor)

Graduated PhD students

• Elisabeth Wetzer, (Main supervisor)
  Thesis: Representation Learning and Information Fusion: Applications in Biomedical Image Processing
  defended on June 12, 2023, at the Department of Information Technology, Uppsala University
  
• Johan Öfverstedt, (Main supervisor)
  Thesis: Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations
  defended on February 25, 2022, at the Department of Information Technology, Uppsala University
  
• Buda Bajić, (Main supervisor with Prof. Joakim Lindblad)
  Thesis: Methods for image restoration and segmentation by sparsity promoting energy minimization
  defended on September 16, 2019, at the Faculty of Technical Sciences, University of Novi Sad.
  
• Amit Suveer (Co-supervisor, main supervisor Prof. Ida-Maria Sintorn)
  Thesis: Methods for Processing and Analysis of Biomedical TEM Images
  defended on June 5, 2019, at the Department of Information Technology, Uppsala University.
  
• Vladimir Ćurić, Ph.D. (Co-supervisor, main supervisor Prof. Gunilla Borgefors)
  Thesis: Distance Functions and Their Use in Adaptive Mathematical Morphology''
  defended on May 23, 2014, at the Centre for Image Analysis, Uppsala University.
  
• Tibor Lukić, Ph.D., (Main supervisor with Prof. Joakim Lindblad)
  Thesis: Regularized problems in Image processing
  defended on December 30, 2011, at the Faculty of Technical Sciences, University of Novi Sad.

Master student supervision

• Esraa Ahmed Mohammed Ahmed, Comparison of Deep Learning and Model-based Approaches for Spatial Profiling of the Immune Tumor Environment on Multiplex Image Data, Uppsala University, 2023 (Subject supervisor)
• Love Nordling, Contrastive Multimodal Image Representations for Deformable Image Registration, Uppsala University, 2022 (Co-supervisor)
• Marcello Pietro Vendruscolo, Certainty Estimation of Neural Networks for Out-of-Distribution Data in Oral Cancer Screening, Uppsala University, 2022 (Subject supervisor)
• Davis Nicmanis, Deep Learning Based Focus Interpolation for Whole-Slide Images, Uppsala University, 2022 (Subject supervisor)
• Christopher Rydell, CytoBrowser: a browser-based collaborative annotation platform for whole slide images, Uppsala University, 2021 (Subject supervisor)
• Uvais Karni Mohideen Meera Sha, Pedestrian Multiple Object Tracking Using Deep Learning, Uppsala University, 2021 (Subject supervisor)
• Tobias Hammarström,Towards Explainable Decision-making Strategies of Deep Convolutional Neural Networks: An exploration into current methods within explainable artificial intelligence and their ability to detect relevant and irrelevant information, with potential applications on oral cancer detection models, Uppsala University, 2020 (Subject supervisor)
• Jiahao Lu, Evaluation of learning based methods for multimodal biomedical image registration, Uppsala University, 2020 (Subject supervisor)
• Wei Peng, Extraction of gait parameters from video-data in the UDDGait-Step-study, Uppsala University, 2020 (Subject supervisor)
• Victor Lindvall, Computer Vision-Based Method for Automated Inspection of Cable Connections, Uppsala University, 2020 (Subject supervisor)
• Tristan Wright, Implementation and Evaluation of a Variety of Image Stitching Methods, Uppsala University, 2020 (Subject supervisor)
• Jo Gay, Structural representation models for multi-modal image registration in biomedical applications, Uppsala University, 2019 (Subject supervisor)
• Elin Smevige, Reduction of Metal Artefacts in CT Images Using the Generative Adversarial Network CycleGAN , Uppsala University, 2019 (Subject supervisor)
• Felix Verpers, Evaluation and extension of stereo-visual SLAM using global optimization, Uppsala University, 2018 (Subject supervisor)
• Sebastian Bas Kanå, Automatic landmark identification in digital images of Drosophila wings for improved morphometric analysis, Uppsala University, 2018 (Subject supervisor)
• Erik Valldor, Person Detection in Thermal Images using Deep Learning, Uppsala University, 2018 (Subject supervisor)
• Anders Gärdenäs, Denoising and renoising of video for compression, Uppsala University, 2017 (Subject supervisor)
• Johan Öfverstedt, Similarity of Hybrid Object Representations With Applications in Object Recognition and Classification, Uppsala University, 2016 (Supervisor)
• Yufan Miao, Landmark Detection for Mobile Eye Tracking, Uppsala University, 2016 (Subject supervisor)
• Slobodan Dražić, Računarska analiza digitalnih dokumenata (in Serbian), FTN Novi Sad, 2012. (Supervisor)
• Tibor Lukić, O nekim varijacionim problemima u segmentaciji digitalnih slika (in Serbian), FTN Novi Sad, 2008. (Supervisor)

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