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Visual Computing
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PhD
Current PhD projects
Visual Computing
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Visual Computing
Andreas Abildtrup Hansen
Bojja Venu
Kamil Mikolaj
Lezhong Wang
Manxi Lin
Mario Corral Bolaños
Minh Duc Tran
Paweł Pięta
Thomson TG
Henrik Philippi
Kilian Zepf
Kristine Aavild Juhl
Maria del Carmen Moreno Genis
Mark Bo Jensen
Patrick Møller Jensen
Paula Lopez Diez
Riccardo Tonello
Sidsel Borup Winther
Sophia Bardenfleth
William Michael Laprade
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PhD projects affiliated with DTU Compute
Current PhD projects in Visual Computing
Equivariant Deep Learning for Network Data
Andreas Abildtrup Hansenen: Equivariant Deep Learning for Network Data
Modelling and Predictive Rendering of Materials Using Microgeometry
Bojja Venu: Modelling and Predictive Rendering of Materials Using Microgeometry
Neural Radiance Fields for Ultrasound Images
Computer Vision for Estimating Microstructure Using Optical Models
Lezhong Wang: Using computer vision to detect microstructure of Mozzarella Cheese
Learning to Collaborate via Explainable AI in Medical Education
Manxi Lin: Learning to Collaborate via Explainable AI in Medical Education
Development of early-non-invasive biomarkers of the brain neurons integrity
Recreating the appearance of translucent objects digitally
Helping make better pizza
Thomson TG
Thomson TG: Translucent Bunnies are bad at math
Advanced Light Transport Simulation for Virtual Reality
Henrik Philippi: Simulating Light in Virtual Reality
Uncertainty Quantification for Deep Learning Segmentation Models of Anatomical...
Kilian Zepf: Uncertainty Quantification for Deep Learning Segmentation Models of Anatomical Networks
Deep Learning Methods for Cardiac CT analysis
Kristine Aavild Juhl
Biomedical modelling of the brain network using MRI
Maria del Carmen Moreno Genis: Development of neuroimaging tool for clinical assessment of microstructural changes in the brain network of Stroke and TIA patients...
Virtual Reality-Based Visualization of Geometric Data
Mark Bo Jensen: Visualizing Geometric Data with Virtual Reality
Model-based quantitative 3D analysis
Patrick Møller Jensen: The Big Picture from Small Details
Designing tools to support clinicians in hearing loss diagnosis and cochlear implant...
Paula Lopez Diez: Machine- and deep-learning for image-guided surgery planning for normal and abnormal inner ear anatomies
Practical Applications of 3D-Printing System for Creating Novel Surfaces
Riccardo Tonello: Increased precision in 3D printing enables new types of innovative surfaces in appearance that extend the variety of applications.
Intelligent modelling of tissue microstructure
Sidsel Borup Winther: Inferring properties of neural microstructures to improve our understanding of the brain
Active Learning for 3D Medical Image Segmentation
Sophia Bardenfleth: We are getting older – so how do we make sure, that our bones can keep up? Finding ways to do fast and robust 3D image segmentation can help...
Machine Learning for Multispectral Imaging of Wheat Foliage
William Michael Laprade: The climate is changing, drought is becoming more common and plant stress is increasing. Can we use multispectral imaging to better understand...
Updated on 27 May 2022
Updated on 27 May 2022