DTU courses

Lecturer:

  • Advanced image analysis (segmentation part) 02506. Spring 2016, spring 2017, spring 2018, spring 2019, spring 2020, spring 2021, spring 2022.
  • Cinemax PhD summer school 47511. Summer 2016, summer 2017, summer 2018, summer 2019, summer 2021, summer 2022.
  • Computer vision (camera geometry) 02504. Spring 2018, spring 2021.
  • Introduction to advanced tomography. Massive open online course (Coursera). Since 2019.
  • Programming 02609. Fall 2019, fall 2020.
  • X-ray tomography for porosity analysis. PhD course. Spring 2019.
  • Modeling and programming 02609. Fall 2010, fall 2011, fall 2012, fall 2013, fall 2014, fall 2015, fall 2016, fall 2017.
  • Introduction to programming and data analysis 02633. June 2016, June 2020, June 2021, June 2022.
  • Introduction to programming and data analysis (co-teaching) 02631. Fall 2020, fall 2021, fall 2022.
  • Introductory programming with Matlab 02631. Spring 2013, spring 2014.
  • Introductory programming with Matlab 02633. June 2011, June 2013, June 2014.
  • Programming 02693. Spring 2013, spring 2014.
  • Data processing 02691. Spring 2014.
  • Digital Image Analysis at Metropolitan University College. October 2010, March 2011, October 2011.

Teaching assistant:

  • Digital image analysis, vision and computer graphics 02501. Fall 2007.
  • Medical Image Analysis 02505. Fall 2007.

Supervision

PhD students:

  • Sophia Elizabeth Bardenfleth. 3D Image Segmentation. Co-supervision. 2021-2024.
  • Patrick Møller Jensen. Model-based quantitative 3D analysis. Main supervisor. 2019-2022.
  • Elise Otterlei Brenne. Physical model priors for tomogram segmentation. Co-supervision. 2018-2021.
  • Jakeoung Koo. Segmentation from projections. Main supervisor. 2018-2021. Now Research Fellow at National University of Singapore.
  • Mariam Andersson. Multi-modal microstructure imaging of biological tissue. Co-supervision. 2017-2020. Now Postdoc at DRCMR.
  • Astrid Margareta Elisabet Engberg. Quantification of Retinal Microvasculature. 2016-2019. Main supervisor since 2019. Now at Ambu A/S.
  • Dolores Messer. 3D Shape Analysis for Morphometric Evolutionary Modeling based on 3D X-ray Tomography and Optical Scanning. Co-supervision. 2016-2022. Now at KuatroGroup ApS.
  • Tuan Nguyen Trung. Segmentation and Reconstruction of Multi-Phase Structures using the Deformable Simplicial Complex Method. Part of the CINEMA Alliance for Imaging and Modelling of Energy Applications project. Co-supervision. 2014-2017. Now Postdoc at DTU.
  • Anne-Sofie Wessel Lindberg. 3D Optical Coherence Tomography of retinopathy and optic neuropathy. Collaboration with the Department of Ophthalmology at Glostrup Hospital. 2014-2017. Now at Ambu A/S.

Other projects (MSc and BSc):

  • 3D surface fitting for segmenting and modeling folded honeycombs. Pawel Tomasz Pieta. Master's project. Spring 2022.
  • Reading runes in lead amulets. Alejandro Martinez Senent. Special course. Spring 2022.
  • General Interactive Segmentation with Deep Learning. Mathias Micheelsen Lowes, Jakob Lønborg Christensen and Bjørn Marius Schreblowski Hansen. Special course. Spring 2022.
  • Segmentation, skeletonization, and quantification of kidney microvasculature from CT data. Kamil Wojciech Mikolaj. Special course. Fall 2021.
  • QT-based GUI for interactive segmentation of tubular objects in volumetric data. Anna Katharina Granberg Mortensen. Master's project. Fall 2021.
  • Spectral analysis of microbiological images. Youyang Shen. Special course. Fall 2021.
  • 2D and 3D image segmentation model combining U-Net and learnable Markov Random Fields. Pawel Tomasz Pieta. Special course. Fall 2021.
  • Segmentation with group-equivariant UNets. Rasmus Tuxen. Special course. Fall 2021.
  • Improving two mode S^2 with a convolutional neural network. Simon Lønborg Christensen. Special course (PhD). Fall 2021.
  • Completing partial layer segmentations with autoregressive models. Jakob Lønborg Christensen. Bachelor project. Spring 2021.
  • Automatic grading of Optus wide-field retina images from Greenland. Helena Nygaard Jensen and Maria Bråthen Pettersen. Master's project. Spring 2021.
  • Synthesis: Vision-based anomaly detection for industrial application. Bence Bejczy and Rohat Bozyil. Special course. January 2021.
  • Segmentation of sperm cells using neural networks. Nicolai Dige Jensen. Special course. Fall 2020.
  • Automatic detection of hyperreflective foci in OCT images. Jakob Lønborg Christensen. Special course. Fall 2020.
  • Automated smile analysis using fast 4D facial surface sequences. Xiaohan Lyu. Master's project. Spring 2020
  • Method for autofocusing panoramic CT scans of teeth. Louisa Zebis Morling. Master's project. Spring 2020.
  • Morphology analysis of peripheral hand nerves obtained with 3D synchrotron imaging. Jens Christian Bang Gribsvad and Frederik Hartmann. Bachelor project, co-supervision. Spring 2020.
  • Quantification of microstructure in trabecular bone in mice. Tobias Svend-Aage Beyer-Pedersen and Olivia Simone Jørgensen. Bachelor project. Spring 2020.
  • Investigation in learning orientations. Rasmus Tuxen. Bachelor project. Spring 2020.
  • Quantifying local thickness in 3D structures. Freja Byskov Kristensen. Bachelor project. Spring 2020.
  • Advanced image analysis with focus on 3D orientation analysis. Anders Christensen. Special course. Fall 2019.
  • Selected topics from image analysis. Louisa Zebis Morling. Special course. January 2020.
  • Structure tensor: computation, visualisation and application. Rasmus Tuxen. Special course. January 2020.
  • Visualising and quantifying bone microstructure. Bachelor project. Fall 2019.
  • Semantic segmentation for nutrition content estimation from food images using deep learning. Mia Sandra Nicole Siemon. Master's project, co-supervision. Spring 2019.
  • Introductory image analysis using geometric models. Shiyang Shen. Special course. Spring 2019.
  • Volumetric Segmentation Using Deformable Meshes. Patrick Møller Jensen. Master's project. Spring 2019.
  • Development of semi-supervised deep learning based food segmentation toolbox for dietary assessment. Iben Birgitte Knutz. Bachelor project, co-supervision. Spring 2019.
  • Depth estimation method development to analyse food images for dietary assessment using mobile cameras. Steinn Orri Erlendsson. Bachelor project, co-supervision. Spring 2019.
  • Orientation distributions under rotations: visualization and fitting. Anders Emil Høgh Nebbelunde. Master's project. Spring 2019.
  • Age estimation from CT scans of femur using shape analysis. Jiayi Han. Bachelor project, co-supervision. Spring 2019.
  • Automated channel identification for fluorescence imaging. Ida Engholm Villumsen and Nanna Bak Markers. Bachelor project, co-supervision. Spring 2019.
  • Augmented reality in minimally invasive liver surgery. Anaïs Chambrial. Master's project, co-supervision. Spring 2019.
  • Learning optimal edge weights for dictionary-based interactive segmentation. Ari Páll Ísberg. Master's project, co-supervision. Spring 2019.
  • Registration, segmentation and analysis of muscle cells from stained microscopy images. Harald Løvenskjold Mortensen. Special course. Spring 2019.
  • Analyzing thickness of axons and myelin sheths in 3D phase contrast tomography. Maria Bråthen Pettersen and Helena Nygaard Jensen. Bachelor project. Spring 2019.
  • An automated method for measuring corneal thickness to predict the outcome of corneal transplant. Mikkel Kirkegaard Øritsland. Bachelor project. Spring 2019.
  • Application of micro computed tomography for individual fibre segmentation in composites. Comparative study of unidirectional-and air texturized rovings in industrial profiles. Filip Salling Rasmussen. Special PhD course. 2018-2019.
  • Analyzing capillary network captured by retinal function imager. Anna Biskopstø Joensen and Anna Frederiksen. Master's project. Fall 2018.
  • Machine learning driven quality assessment of stained histopathological slides. Josephine Perch Nielsen and Tinna Stokholm Larsen. Master's project, co-supervision. Fall 2018.
  • Semantic classification of dog movement patterns in video using computer vision and deep learning. Henrik Petersen. Master's project, co-supervision. Fall 2018.
  • Detection of spherical objects in volumetric data. Patrick Møller Jensen. Special course. Fall 2018.
  • Automatic detection of rail failures from images. Helena Hansen. Bachelor project. Fall 2018.
  • Orientation distribution analysis using structure tensor. Anders Emil Høgh Nebbelunde. Special course. Fall 2018.
  • Interactive segmentation with a dictionary-based method. Ari Páll Ísberg. Special course. Fall 2018.
  • Improving Subsea Mapping and Localization. Daniel Safari. Master's project, co-supervision. Spring 2018.
  • Combinatorial optimization of the piecewise smooth Mumford-Shah functional. Josephine Perch Nielsen and Tinna Stokholm Larsen. Special course. Spring 2018.
  • Adaptable Computer Vision System for Automated Fault Detection in Industrial Production Lines. Nicolai Sahl-Tjørnholm. Master's project, co-supervision. Spring 2018.
  • Efficient nuclei detection and classification with deep learning. Peter Grønborg. Master's project, co-supervision. Spring 2018.
  • Object recognition to MR Mini. Troels Kjeldsen Kristensen. Special course. Spring 2018.
  • An online collection of Danish mammals. Malte Tais Magnussen and Jiahua Liang. Bachelor project. Spring 2018.
  • Quantitative analysis of myelinated axons from high-resolution images of healthy and diabetic peripheral nerves. Peter William Faber and Frederik Jan Meyer-Zeuthen. Bachelor project. Spring 2018.
  • Analyzing anterior segment optical coherence tomography (OCT) images to assess the outcome of corneal transplantation. Yuhan Liu. Bachelor project. Spring 2018.
  • High quality texture models for 3D scanned objects. Mia Sandra Nicole Siemon. Special course, co-supervision. Fall 2017.
  • Experimental and finite element based determination of the compressive and shear properties of honeycomb structures. Shalini Himadari Vithanage and Edvinas Zamaratskis. Master's project, co-supervision in collaboration with DTU Wind Energy. Fall 2017.
  • Improved reference system for anatomically correct analysis of craniofacial growth. Betina Kopp Pedersen. Master's project, in collaboration with 3D Lab. Spring 2017.
  • Movable mesh for tomographic reconstruction, prototyping and testing. Simon Rabbe. Master's project. Spring 2017.
  • Image analysis for diagnosing uveitis from OCT images. Christine Stampe Hvidtfeldt and Thea Salomon Pedersen. Bachelor project. Spring 2017.
  • Application of structured light scannings for capturing the shapes of skulls. Martina Pilar Jolanda Stella. Special course, co-supervision. Spring 2017.
  • X-ray scans and finite element shell modelling of honeycomb structures. Shalini Himadari Vithanage. Special course, co-supervision. Spring 2017.
  • Accurate prediction of the compressive behavior of folded honeycomb using x-ray tomography and the finite element method. Thorbjørn Hess Lund. Master's project, co-supervision. Fall 2016.
  • Learning white blood cell differentiation from bright field microscopy images. Marie Nørgaard Højen. Master's project, co-supervision. Fall 2016.
  • 3D scanning and analysis of human skulls and horse teeth for natural heritage. Andreas Kjærsgaard Løvstrøm. Special course, co-supervision. Spring 2016.
  • The Visual Microphone - Investigation of Sound Levels. Anders Harbøll Christiansen and Emil Gensby. Bachelor project, co-supervision. Spring 2015.
  • Dictionary-based image segmentation with minimal user interaction. Julie Liv Cetti Hansen. Bachelor project, co-supervision. Spring 2015.
  • Surface scanning and geometric analysis of archeological skulls. Peter Grønborg. Special course, co-supervision. Spring 2015.
  • Layer detection in micro-CT scans of Tetra Pak containers. Andreas Jacobsen. Bachelor project, co-supervision. Spring 2015.
  • Segmentation of retinal layer in OCT images using optimal graph search. Søren Trads Steen. Bachelor project, co-supervision. Spring 2014.
  • Visualization and quantification of mouse bone structure by X-ray computed tomography. Nanna Thorning-Schmidt and Marie Højen. Bachelor project, co-supervision. Spring 2014.