Teaching

PhD Student supervision

  • Main supervisor, Samuel Fransson, PhD student, Motion tracking in Radiotherapy
  • Main supervisor, Eva Breznik, PhD student, Imiomics: Method development and statistical associations
  • Main supervisor, Simon Ekström, Characterization of type-2 diabetes: Image analysis methods for image registration and managing big data sets
  • Assistant supervisor, Therese Sjöholm, PhD student, Image Analysis Methods for Detection, Quantification and Early Therapy Evaluation of Tumours in MR and combined PET/MR images
  • Assistant supervisor, Hanna Jönsson. Computer-aided whole-body PET/CT image analysis in cancer – methodological development and application (radiology)
  • Assistant supervisor, Taro Langner. Machine Learning and Registration Techniques for Image-based Analysis of Metabolic Disease
  • Previous PhD students

  • Main supervisor, Teo Asplund, PhD student, Precise image-based measurement through irregular sampling
  • Assistant supervisor, Elin Lundström, PhD student, Magnetic Resonance Imaging of Human Brown Adipose Tissue: Methodological Development and Application
  • Main supervisor, Elisabeth Linnér, PhD student, Image processing on optimal volume sampling lattices, 2015
  • Main supervisor, Andreas Kårsnäs, PhD student, Development of Digital Pathology for Breast Cancer, 2014

    MSc Student supervision

  • Subject Supervisor, Vanja Wallner, Master thesis student (Spring 2020), Normalization of Medical Expressions to MedDRA
  • Subject Supervisor, Fanny Ohlsson, Master thesis student (Spring 2020),

    Previous MSc Students

  • Subject Supervisor, Dimitri Gharam, Master thesis student (Spring 2019), Machine Learning Analysis of Text in a Clinical Decision Support System
  • Subject Supervisor, Isabelle Enlund, Master thesis student (Spring 2019), Attention P-Net for Segmentation of Post-operative Glioblastoma in MRI
  • Subject Supervisor, Ankur Shukla, Master thesis student (Fall 2018), Image based flow path recognition for chromatography equipment
  • Subject Supervisor, David Holst, Master thesis student (Fall 2018), Automatic Conversion between first and second generation DICOM RT objects
  • Subject Supervisor, Michael Wijaya,(Spring 2018), Water and Fat Image Reconstruction from Magnetic Resonance Imaging Raw Multi Coil Data
  • Subject Supervisor, Ricky Cheung, Master thesis student, Data-based football match simulator
  • Subject Supervisor, Martino Pilia, Master thesis student (Fall 2017/Spring 2018), Reference coordinate system computation in a large scale whole-body MRI image analysis project,
  • Supervisor, Anna Larsson, Master thesis student (Spring 2018), Användargränssnitt och datavisualisering av MR- och PET-MR-data inom Imiomics
  • Subject Supervisor, Matilda Jonsson, Master thesis student (Spring 2018), Datorstödd analys av multiparametriska MR-bilder av kronisk njursjukdom
  • Supervisor, Ali Teymur, Master thesis student (Fall 2016), Automatic interpretation of lung CT volume images
  • Supervisor, Oskar Wretstam, Master thesis student, Infrared image based modeling and rendering
  • Supervisor, Eva Breznik, Master thesis student (March - August 2016), Statistical analysis of holistic whole body MR analyses by Imiomics
  • Supervisor, Camilla Englund, Master thesis student, Automated Segmentation of Abdominal Organs from Whole Body MRI Images
  • Subject Supervisor, Karl-Oskar Smedh, Master thesis student, Efficient and Accurate Rendering on Optimal Volume Sampling Lattices
  • Subject Supervisor, Leo Svenningsson, Master thesis student, Implementation of Fast Discrete Fourier Transform for MRI on Optimal 3D Sampling Lattices
  • Subject Supervisor, Sigit Adinugroho, Master thesis student, Calving events detection and quantification from time-lapse images in the front of a glacier
  • Subject Supervisor, Teo Asplund, Master thesis student, Improving the Parsimonious path opening
  • Subject Supervisor, Jonathan Andersson, Master thesis student, Brown fat assessment by automated detection of differences in quantitative glucose metabolism in PET/MRI data
  • Subject Supervisor, Pierre Höglin, Master thesis student, Image Recognition in Programming of Robotic Instrumentation
  • Supervisor, Anders Hedström, Automatic segmentation of whole-body MR-images
  • Supervisor, Lei Wang, Registration of whole-body MR-images
  • Supervisor, Mariana Bustamante, Master thesis student, Detection and Quantification of small changes in MR-Volumes.
  • Subject supervisor, Xuan Tuan Trinh, Master thesis student, Online Learning of Multi-Class SVMs.
  • Subject supervisor, Max Moren, Master thesis student, Efficient Volume Rendering on the Face- and Body-Centered Cubic Grids, 2012
  • Subject supervisor, Elhassan Mohamed Abdou, Master thesis student, Visual Evaluation of Deep Brain Stimulation Targeting Regions, 2011
  • Supervisor, Fredrik Nysjö, Master thesis student, Development of Rendering Software for Multiple Projectors, 2011
  • Supervisor, Alexander Denev, Bachelor thesis student, Digital Distance Functions Defined by Sequences of Weights, 2011
  • Subject Supervisor, Tengjiao Cai, Master thesis student, Recognizing for Art pieces in Stockholm Subway using Image Recognition, 2011
  • Supervisor, Jim Björk, Master thesis student, Evaluation of a holographic 3D display, 2010
  • Subject supervisor, Daniel Skog, Master thesis student, identification of People in Urban Surveillance Video, 2010
  • Supervisor, Kelly Hubble, Master thesis student, Straight Line Segment Detection on Non-Standard Three-Dimensional Grids, 2010
  • Subject supervisor, Chetan Nagardja, Master thesis student, Implementation of Laser Scan Trajectory and Image Reconstruction in 3D for 2-Photon Laser Scanning Microscopy, 2010

    Teaching

    2020

  • Medical Physics and Engineering, lecture on medical image processing.
  • Computer Assisted Image Analysis II, lecture on mathematical morphology, digital geometry and topology.
  • Medical Informatics (fall 2020), lecture on medical image processing.
  • 2019

  • Medical Physics and Engineering, lecture on medical image processing.
  • Computer Assisted Image Analysis II, lecture on digital geometry and topology.
  • Medical Informatics (fall 2019), lecture on medical image processing.
  • Fall 2018


  • Digital Image Analysis for Scientific Applications, course coordinator and lecturer
  • Medical Informatics (fall 2018), course responsible teacher and lecturer.
  • Spring 2018


  • Medical Physics and Engineering, lecture on medical image processing.
  • Computer Assisted Image Analysis II, lectures on digital geometry and topology.
  • Spring 2017


  • Medical Informatics, course coordinator.
  • Computer Assisted Image Analysis NV2, lectures digital geometry and topology.
  • Fall 2016


  • Course coordinator and lecturer: Post graduate course in Application Oriented Image Analysis
  • Computer Assisted Image Analysis NV1, course coordinator and lecturer.
  • Spring 2016


  • Medical Informatics, course coordinator.
  • Computer Assisted Image Analysis NV2, lectures digital geometry and topology.
  • Fall 2015


  • Course coordinator and lecturer: Post graduate course in Application Oriented Image Analysis
  • Bioimaging and Cell Analysis, lectures on Digitization, fundamental techniques and segmentation and color.
  • Computer Assisted Image Analysis NV1, lectures on segmentation, mathematical morphology, classification, color and compression .
  • Spring 2015


  • Medical Informatics, course coordinator.
  • Computer Assisted Image Analysis NV2, lectures digital geometry and topology.
  • Fall 2014


  • Bioimaging and Cell Analysis, lectures on Digitization, fundamental techniques and segmentation and color.
  • Computer Assisted Image Analysis NV1, lectures on segmentation, mathematical morphology, classification, color and compression .
  • Spring 2014


  • Computer Assisted Image Analysis NV1, lectures on segmentation and mathematical morphology.

    Fall 2013


  • Bioimaging and Cell Analysis, lectures on Digitization, fundamental techniques and segmentation.
  • Application Oriented Image Analysis, course coordinator

    Fall 2012


  • Bioimaging and Cell Analysis, lectures on Digitization, fundamental techniques and segmentation.
  • Models and Methods for Precise Image Analysis, a lecture on sub-pixel Euclidean Distance Transform.
  • Computer Assisted Image Analysis NV2, lectures on fuzzy systems, digital geometry and topology.

    Fall 11

  • Application Oriented Image Analysis, course coordinator
  • Computer Assisted Image Analysis NV2, lectures on fuzzy systems, digital geometry and topology.
  • Advanced course in Bioimaging and Cell Analysis, lectures on Digitization, fundamental techniques and segmentation.

    Spring 11

  • Computer Assisted Image Analysis 1, the lecture on mathematical morphology.

    Fall 10

  • Computer Assisted Image Analysis NV2, lectures on digital geometry and topology.
  • Linear methods in multidimensional signal analysis, project advisor.

    Fall 09

  • Application Oriented Image Analysis, course coordinator
  • Computer Assisted Image Analysis NV2, lectures on digital geometry, topology, and mathematical morphology.

    Fall 08

  • Computer Assisted Image Analysis NV2, lectures on digital geometry, topology, and mathematical morphology.