Anders Bjorholm Dahl

Anders Bjorholm Dahl

Professor MSO, Head of Section

DTU COMPUTE
Department of Applied Mathematics and Computer Science

Technical University of Denmark

Richard Petersens Plads

Building 324, room 113

2800 Kgs. Lyngby

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Segmentation from projections


Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Marie Curie (EU-stipendium)

2018-2021

Machine Learning for Ultrasonic Fault Detection

Superv.: Vesth, Lars

Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Eksternt finansieret virksomhed

2017-2020

A Traceable 3D Scanning and Reconstruction Pipeline


Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Forskningsrådsfinansiering

2016-2019

3D image analysis methods for security X-ray screening


Type: PhD    |     Project status: Completed
Financing source: Internal funding (public)    |    Research programme: Samfinansieret - Andet

2016-2017

3D Shape Analysis for Morphometric Evolutionary Modelling- based on 3D X-ray Tomography and Optical Scanning

Superv.: Orlando, Ludovic Antoine Alexandre

Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Institut stipendie (DTU)

2016-2019

Big Data Modelling with Applications to Airports


Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Samfinansieret - Andet

2015-2018

Verification of large scale surface geometry including shape and texture veriation of injection molded surfaces

Superv.: Nielsen, Ewa

Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Industrial PhD

2015-2018

Quantitative evaluation of peptide analogue distribution in mouse tissue using 3D computer modelling

Examiner: Kirik, Deniz; Nielsen, Mads

Type: PhD    |     Project status: Completed
Financing source: Internal funding (public)    |    Research programme: Industrial PhD

2014-2017

Image analysis and segmentation using sparse coding dictionaries

Examiner: Sladoje, Natasa

Type: PhD    |     Project status: Current
Financing source: Internal funding (public)    |    Research programme: Forskningsrådsfinansiering

2014-2017