Niels Chr. Overgaard

Orcid: 0000-0003-4142-0741

According to our database1, Niels Chr. Overgaard authored at least 39 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Computing the Lipschitz Constant Needed for Fast Scene Recovery from CASSI Measurements.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Classification of point-of-care ultrasound in breast imaging using deep learning.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
Machine learning algorithm for classification of breast ultrasound images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Domain-adversarial neural network for improved generalization performance of Gleason grade classification.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
On the Taut String Interpretation and Other Properties of the Rudin-Osher-Fatemi Model in One Dimension.
J. Math. Imaging Vis., 2019

Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Generalization of prostate cancer classification for multiple sites using deep learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some Applications.
CoRR, 2017

Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2014
A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Segmentation of the left heart ventricle in ultrasound images using a region based snake.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

2011
Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

2009
Separating Rigid Motion for continuous Shape Evolution.
Proceedings of the Progress in Computer Vision and Image Analysis, 2009

Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Optimizing parametric total variation models.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Extending continuous cuts: Anisotropic metrics and expansion moves.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Variational Segmentation of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors.
Int. J. Comput. Vis., 2008

Nonrigid Object Segmentation and Occlusion Detection in Image Sequences.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Rayleigh segmentation of the endocardium in ultrasound images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Variational Segmentation of Image Sequences Using Deformable Shape Priors.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

The Variational Origin of Motion by Gaussian Curvature.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences.
Proceedings of the International Conference on Image Processing, 2007

2006
The Minimal Structure and Motion Problems with Missing Data for 1D Retina Vision.
J. Math. Imaging Vis., 2006

Initialization Techniques for Segmentation with the Chan-Vese Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast Variational Segmentation using Partial Extremal Initialization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints.
Proceedings of the Variational, 2005

A Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

An Analysis of Variational Alignment of Curves in Images.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

A Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Theory for Variational Area-Based Segmentation Using Non-Quadratic Penalty Functions.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Automatic Segmentation of Zona Pellucida in HMC Images of Human Embryos.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2001
Classifying and Solving Minimal Structure and Motion Problems with Missing Data.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001


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