Niels Christian Overgaard
- Mathematics (Faculty of Engineering)
- Mathematical Imaging Group
- Engineering Mathematics (M.Sc.Eng.)
- Partial differential equations
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- LTH Profile Area: Engineering Health
- LTH Profile Area: AI and Digitalization
- Computer Vision and Machine Learning
- LU Profile Area: Natural and Artificial Cognition
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- 2023
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Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
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- Contribution to journal › Article
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Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies
2023) 22nd Scandinavian Conference on Image Analysis, SCIA 2023 In Lecture Notes in Computer Science 13886. p.293-308(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Classification of point-of-care ultrasound in breast imaging using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
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Machine learning algorithm for classification of breast ultrasound images
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
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- Contribution to journal › Article
- 2020
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Predicting the deposition spot radius and the nanoparticle concentration distribution in an electrostatic precipitator
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- Contribution to journal › Article
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The compositional homogeneity of the metal particle during vapor–liquid–solid growth of nanowires
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- Contribution to journal › Article
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Domain-adversarial neural network for improved generalization performance of gleason grade classification
2020) Medical Imaging 2020: Digital Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11320.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
2020) 25th International Conference on Pattern Recognition, ICPR 2020 In Proceedings - International Conference on Pattern Recognition p.4442-4449(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
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On the Taut String Interpretation and Other Properties of the Rudin–Osher–Fatemi Model in One Dimension
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- Contribution to journal › Article
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Comparison of different augmentation techniques for improved generalization performance for gleason grading
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
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Designing for minimum elongation
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- Contribution to journal › Article
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On the taut string interpretation of the one-dimensional rudin–osher–fatemi model
2018) 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 p.233-244(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Generalization of prostate cancer classification for multiple sites using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
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Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2014
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A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2013
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Automatic registration of multi-modal microscopy images for integrative analysis of prostate tissue sections
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- Contribution to journal › Article
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Segmentation of the Left Heart Ventricle in Ultrasound Images Using a Region Based Snake
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2011
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Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2009
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Application of variational inequalities to the moving-boundary problem in a fluid model for biofilm growth
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- Contribution to journal › Article
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Extending Continuous Cuts: Anisotropic Metrics and Expansion Moves
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Optimal Levels for the Two-phase, Piecewise Constant Mumford-Shah Functional
2009) Swedish Symposium on Image Analysis (SSBA) 2009(
- Contribution to conference › Paper, not in proceeding
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Optimizing Parametric Total Variation Models
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2007
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The Variational Origin of Motion by Gaussian Curvature
2007) International Conference on Scale Space Methods and Variational Methods in Computer Vision (SSVM), 2007 4485. p.430-441(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Simulation of Nitrification of Municipal Wastewater in a Moving Bed Biofilm Process: A Bottom-Up Approach Based on a 2D-Continuum Model for Growth and Detachment
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- Contribution to journal › Article
- 2006
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The minimal structure and motion problems with missing data for 1D retina vision
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- Contribution to journal › Article
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Fast Variational Segmentation using Partial Extremal Initialization
2006) 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 p.1099-1105(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Separating Rigid Motion for Continuous Shape Evolution
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Initialization Techniques for Segmentation with the Chan-Vese Model
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2005
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A Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Theory for Variational Area-Based Segmentation Using Non-Quadratic Penalty Functions
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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A Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints
2005) Proc. IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision 3752. p.332-343(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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An Analysis of Variational Alignment of Curves in Images
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Region-Based Variational Problems and Normal Alignment - Geometric Interpretation of Descent PDEs
2005) Proc. International Conference on PDE-Based Image Processing and Related Inverse Problems(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2004
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Mark
Automatic Segmentation of Zona Pellucida in HMC images of Human Embryos
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A new mathematical model for chemotactic bacterial colony growth.
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- Contribution to journal › Article
- 2002
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Mark
Properties of the Pushforward Map on Test Functions, Measures and Distributions
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- Thesis › Doctoral thesis (monograph)
- 2001
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Mark
Structure and motion problems with occlusions for 1D retina vision
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Minimal cases of the structure and motion problem with missing data for one-dimensional retinae
(
- Contribution to conference › Paper, not in proceeding
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Classifying and solving minimal structure and motion problems with missing data
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- Contribution to conference › Paper, not in proceeding