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ORCIDNiels Chr. Overgaard
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2020 – today
- 2024
[i2]Jennie Karlsson, Marisa Wodrich, Niels Christian Overgaard, Freja Sahlin, Kristina Lång, Anders Heyden, Ida Arvidsson:
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging. CoRR abs/2402.18960 (2024)- 2023
- [c32]Jennie Karlsson, Ida Arvidsson, Freja Sahlin, Kalle Åström
, Niels Christian Overgaard, Kristina Lång, Anders Heyden:
Classification of point-of-care ultrasound in breast imaging using deep learning. Medical Imaging: Computer-Aided Diagnosis 2023 - [c31]Filip Winzell, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Felicia-Elena Marginean, Anders Bjartell, Agnieszka Krzyzanowska, Athanasios Simoulis, Anders Heyden:
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies. SCIA (2) 2023: 293-308 - 2022
- [c30]Jennie Karlsson, Jennifer Ramkull, Ida Arvidsson, Anders Heyden, Kalle Åström, Niels Christian Overgaard, Kristina Lång:
Machine learning algorithm for classification of breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [c29]Ida Arvidsson, Niels Christian Overgaard, Anette Davidsson, Jeronimo Frias Rose, Kalle Åström, Miguel Ochoa Figueroa, Anders Heyden:
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c28]Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden, Miguel Ochoa Figueroa, Jeronimo Frias Rose, Anette Davidsson:
Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks. ICPR 2020: 4442-4449 - [c27]Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden:
Domain-adversarial neural network for improved generalization performance of Gleason grade classification. Medical Imaging: Digital Pathology 2020: 1132016
2010 – 2019
- 2019
- [j3]Niels Chr. Overgaard:
On the Taut String Interpretation and Other Properties of the Rudin-Osher-Fatemi Model in One Dimension. J. Math. Imaging Vis. 61(9): 1276-1300 (2019) - [c26]Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden:
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading. ISBI 2019: 923-927 - [c25]Kasper Tall, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden:
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN. Medical Imaging: Digital Pathology 2019: 109560E - 2018
- [c24]Niels Chr. Overgaard:
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model. ICPRAM 2018: 233-244 - [c23]Ida Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden:
Generalization of prostate cancer classification for multiple sites using deep learning. ISBI 2018: 191-194 - 2017
- [c22]Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström:
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. Medical Imaging: Digital Pathology 2017: 101400S - [i1]Niels Chr. Overgaard:
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some Applications. CoRR abs/1710.10985 (2017) - 2014
- [c21]Matilda Landgren, Niels Chr. Overgaard, Anders Heyden:
A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients. ICPR 2014: 3398-3403 - 2013
- [c20]Matilda Landgren, Niels Christian Overgaard, Anders Heyden:
Segmentation of the left heart ventricle in ultrasound images using a region based snake. Medical Imaging: Image Processing 2013: 866945 - 2011
- [c19]Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Chr. Overgaard, Kalle Åström, Rune Sixt, Lars Edenbrandt:
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. SCIA 2011: 489-500 - [c18]Daniel Ståhl, Kalle Åström, Niels Chr. Overgaard, Matilda Landgren, Karl Sjöstrand, Lars Edenbrandt:
Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies. SCIA 2011: 557-568
2000 – 2009
- 2009
- [c17]Carl Olsson, Martin Byröd, Niels Chr. Overgaard, Fredrik Kahl:
Extending continuous cuts: Anisotropic metrics and expansion moves. ICCV 2009: 405-412 - [c16]Petter Strandmark, Fredrik Kahl, Niels Chr. Overgaard:
Optimizing parametric total variation models. ICCV 2009: 2240-2247 - [c15]Niels Chr. Overgaard, Ketut Fundana, Anders Heyden:
Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups. SSVM 2009: 684-695 - [p1]Niels Chr. Overgaard, Jan Erik Solem:
Separating Rigid Motion for continuous Shape Evolution. Progress in Computer Vision and Image Analysis 2009: 483-494 - 2008
- [j2]Ketut Fundana, Niels Chr. Overgaard, Anders Heyden:
Variational Segmentation of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors. Int. J. Comput. Vis. 80(3): 289-299 (2008) - [c14]Mattias Hansson, Niels Chr. Overgaard, Anders Heyden:
Rayleigh segmentation of the endocardium in ultrasound images. ICPR 2008: 1-4 - [c13]Ketut Fundana, Niels Chr. Overgaard, Anders Heyden, David Gustavsson, Mads Nielsen:
Nonrigid Object Segmentation and Occlusion Detection in Image Sequences. VISAPP (1) 2008: 211-218 - 2007
- [c12]Ketut Fundana, Niels Chr. Overgaard, Anders Heyden:
Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences. ICIP (1) 2007: 285-288 - [c11]Niels Chr. Overgaard, Jan Erik Solem:
The Variational Origin of Motion by Gaussian Curvature. SSVM 2007: 430-441 - [c10]Ketut Fundana, Niels Chr. Overgaard, Anders Heyden:
Variational Segmentation of Image Sequences Using Deformable Shape Priors. SCIA 2007: 31-40 - 2006
- [j1]Magnus Oskarsson, Kalle Åström, Niels Chr. Overgaard:
The Minimal Structure and Motion Problems with Missing Data for 1D Retina Vision. J. Math. Imaging Vis. 26(3): 327-343 (2006) - [c9]Jan Erik Solem, Niels Chr. Overgaard, Markus Persson, Anders Heyden:
Fast Variational Segmentation using Partial Extremal Initialization. CVPR (1) 2006: 1099-1105 - [c8]Jan Erik Solem, Niels Chr. Overgaard, Anders Heyden:
Initialization Techniques for Segmentation with the Chan-Vese Model. ICPR (2) 2006: 171-174 - 2005
- [c7]Adam Karlsson, Niels Chr. Overgaard:
Theory for Variational Area-Based Segmentation Using Non-Quadratic Penalty Functions. CVPR (2) 2005: 1089-1096 - [c6]Jan Erik Solem, Niels Chr. Overgaard:
A Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces. Scale-Space 2005: 419-430 - [c5]Niels Chr. Overgaard, Jan Erik Solem:
An Analysis of Variational Alignment of Curves in Images. Scale-Space 2005: 480-491 - [c4]Adam Karlsson, Niels Chr. Overgaard, Anders Heyden:
A Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos. Scale-Space 2005: 503-514 - [c3]Jan Erik Solem, Niels Chr. Overgaard:
A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints. VLSM 2005: 332-343 - 2004
- [c2]Adam Karlsson, Niels Chr. Overgaard, Anders Heyden:
Automatic Segmentation of Zona Pellucida in HMC Images of Human Embryos. ICPR (3) 2004: 518-521 - 2001
- [c1]Magnus Oskarsson, Kalle Åström, Niels Chr. Overgaard:
Classifying and Solving Minimal Structure and Motion Problems with Missing Data. ICCV 2001: 628-634
Coauthor Index
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