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2020 – today
- 2024
[j53]Mostafa Mehdipour-Ghazi
, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 792-802 (2024)- [c130]William Michael Laprade, Pawel Pieta, Svetlana Kutuzova, Jesper Cairo Westergaard, Mads Nielsen, Svend Christensen, Anders Bjorholm Dahl:
HyperLeaf2024 - A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves. CVPR Workshops 2024: 1234-1243 - [c129]Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI 2024: 1-5 - [c128]Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios:
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 2024: 209-219 - [c127]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL 2024: 138-144 - [c126]Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai:
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL 2024: 158-164 - [c125]Asbjørn Munk, Mads Nielsen:
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. NLDL 2024: 174-180 - [i30]Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai:
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. CoRR abs/2401.06893 (2024) - [i29]Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR abs/2402.08294 (2024) - [i28]Mikkel Odgaard, Kiril Vadimovic Klein, Sanne Møller Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen:
CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT. CoRR abs/2404.15201 (2024) - [i27]Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR abs/2407.19888 (2024) - [i26]Asbjørn Munk, Jakob Ambsdorf, Sebastian Nørgaard Llambias, Mads Nielsen:
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation. CoRR abs/2408.00640 (2024) - [i25]Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios:
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR abs/2408.03654 (2024) - 2023
- [j52]Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen:
Online transfer learning with partial feedback. Expert Syst. Appl. 212: 118738 (2023) - [j51]Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi:
Partial feedback online transfer learning with multi-source domains. Inf. Fusion 89: 29-40 (2023) - [c124]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. ISBI 2023: 1-4 - [c123]Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen:
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI 2023: 57-67 - [c122]Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen:
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI 2023: 224-234 - [c121]William Michael Laprade, Jesper Cairo Westergaard, Jon Nielsen, Mads Nielsen, Anders Bjorholm Dahl:
An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders. SCIA (2) 2023: 191-202 - [i24]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. CoRR abs/2301.09322 (2023) - [i23]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR abs/2308.04395 (2023) - [i22]Asbjørn Munk, Ao Ma, Mads Nielsen:
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. CoRR abs/2312.12246 (2023) - 2022
- [j50]Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang:
A buffered online transfer learning algorithm with multi-layer network. Neurocomputing 488: 581-597 (2022) - [c120]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR 2022 - [c119]Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai:
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI 2022: 49-58 - [i21]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - [i20]Mostafa Mehdipour-Ghazi, Mads Nielsen:
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR abs/2208.14360 (2022) - [i19]Andreas D. Lauritzen, My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm:
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. CoRR abs/2212.13439 (2022) - 2021
- [j49]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225: 117460 (2021) - [c118]Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat:
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging: Image Processing 2021 - [e11]Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen:
Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings. Lecture Notes in Computer Science 12729, Springer 2021, ISBN 978-3-030-78190-3 [contents] - [i18]Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel:
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR abs/2101.07240 (2021) - [i17]Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR abs/2104.03739 (2021) - [i16]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR abs/2106.12912 (2021) - 2020
- [j48]Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot L. Siegel, Mads Nielsen:
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. Medical Image Anal. 66: 101800 (2020) - [i15]Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020)
2010 – 2019
- 2019
- [j47]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53: 39-46 (2019) - [j46]Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne:
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - [c117]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) 2019: 275-286 - [c116]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso:
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 2019: 54-62 - [c115]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI 2019: 68-76 - [c114]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing 2019: 109490S - [e10]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i14]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR abs/1903.07173 (2019) - [i13]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. CoRR abs/1908.05338 (2019) - [i12]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso:
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR abs/1908.05959 (2019) - [i11]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge distillation for semi-supervised domain adaptation. CoRR abs/1908.07355 (2019) - [i10]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. CoRR abs/1912.10454 (2019) - 2018
- [i9]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR abs/1808.05500 (2018) - [i8]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai:
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR abs/1808.06519 (2018) - [i7]François Lauze, Mads Nielsen:
On Variational Methods for Motion Compensated Inpainting. CoRR abs/1809.07983 (2018) - [i6]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR abs/1810.01928 (2018) - 2017
- [c113]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. SCIA (1) 2017: 397-406 - [p3]Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen:
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis 2017: 223-242 - [e9]M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer:
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [i5]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional neural networks for segmentation and object detection of human semen. CoRR abs/1704.00498 (2017) - [i4]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR abs/1705.00432 (2017) - 2016
- [j45]Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen:
Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage 130: 63-76 (2016) - [j44]Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm:
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35(5): 1322-1331 (2016) - [j43]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging 35(6): 1369-1380 (2016) - [c112]Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm:
Learning Density Independent Texture Features. Digital Mammography / IWDM 2016: 299-306 - [c111]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI 2016: 151-159 - [c110]Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Medical Imaging: Image Processing 2016: 978406 - [c109]Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen:
Supervised hub-detection for brain connectivity. Medical Imaging: Image Processing 2016: 978409 - 2015
- [c108]Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen:
Diffeomorphic image registration with automatic time-step adjustment. ISBI 2015: 1085-1088 - [c107]Henrik G. Jensen, François Lauze, Mads Nielsen, Sune Darkner:
Locally Orderless Registration for Diffusion Weighted Images. MICCAI (2) 2015: 305-312 - [c106]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Medical Imaging: Image Processing 2015: 941335 - 2014
- [j42]Stefan Sommer, François Lauze, Mads Nielsen:
Optimization over geodesics for exact principal geodesic analysis. Adv. Comput. Math. 40(2): 283-313 (2014) - [j41]Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen:
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging 14: 21 (2014) - [j40]Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze:
Geometry and Statistics: Manifolds and Stratified Spaces. J. Math. Imaging Vis. 50(1-2): 1-4 (2014) - [j39]Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne:
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. 18(3): 531-541 (2014) - [c105]Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm:
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM 2014: 88-94 - [c104]Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR 2014: 223-230 - 2013
- [j38]Xavier Pennec, Sarang C. Joshi, Mads Nielsen:
Mathematical Methods for Medical Imaging. Int. J. Comput. Vis. 105(2): 109-110 (2013) - [j37]Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec:
Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. J. Math. Imaging Vis. 46(3): 292-308 (2013) - [j36]Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. Mach. Vis. Appl. 24(7): 1421-1434 (2013) - [j35]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2008-2021 (2013) - [j34]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. SIAM J. Imaging Sci. 6(1): 341-367 (2013) - [c103]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik B. Dam, Mads Nielsen:
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. EMBC 2013: 5469-5472 - [c102]Akshay Pai, Lauge Sørensen, Sune Darkner, Peter Mysling, Dan R. Jørgensen, Erik B. Dam, Martin Lillholm, Joonmi Oh, Gennan Chen, Joyce Suhy, Jon Sporring, Mads Nielsen:
Cube propagation for focal brain atrophy estimation. ISBI 2013: 402-405 - [c101]Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen:
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) 2013: 246-253 - [c100]Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen:
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Medical Imaging: Image Processing 2013: 866926 - 2012
- [j33]Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen:
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j32]Vladlena Gorbunova, Jon Sporring, Pechin Lo, Martine Loeve, Harm A. Tiddens, Mads Nielsen, Asger Dirksen, Marleen de Bruijne:
Mass preserving image registration for lung CT. Medical Image Anal. 16(4): 786-795 (2012) - [j31]Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging 31(1): 70-78 (2012) - [j30]Kersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt:
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging 31(3): 663-676 (2012) - [j29]Sudhakar Tummala, Mads Nielsen, Martin Lillholm, Claus Christiansen, Erik B. Dam:
Automatic Quantification of Tibio-Femoral Contact Area and Congruity. IEEE Trans. Medical Imaging 31(7): 1404-1412 (2012) - [c99]Konstantin Chernoff, Marco Loog, Mads Nielsen:
Metric learning by directly minimizing the k-NN training error. ICPR 2012: 1265-1268 - [c98]Lars Lau Rakêt, Mads Nielsen:
A splitting algorithm for directional regularization and sparsification. ICPR 2012: 3094-3098 - [c97]Gopal Karemore, Brad M. Keller, Huen Oh, Julia Tchou, Mads Nielsen, Emily F. Conant, Despina Kontos:
Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation. Digital Mammography / IWDM 2012: 596-603 - [c96]C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen:
Towards exaggerated emphysema stereotypes. Medical Imaging: Computer-Aided Diagnosis 2012: 83150Q - [c95]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik Dam, Mads Nielsen:
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. Medical Imaging: Image Processing 2012: 83144V - [c94]Stefan Sommer, Mads Nielsen, Xavier Pennec:
Sparsity and scale: Compact representations of deformation for diffeomorphic registration. MMBIA 2012: 217-224 - [i3]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Towards a theory of statistical tree-shape analysis. CoRR abs/1207.5371 (2012) - 2011
- [j28]Sune Høgild Keller, François Lauze, Mads Nielsen:
Video Super-Resolution Using Simultaneous Motion and Intensity Calculations. IEEE Trans. Image Process. 20(7): 1870-1884 (2011) - [j27]Alessandro Crimi, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne, Erik B. Dam, Jon Sporring:
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging 30(8): 1514-1526 (2011) - [j26]Sami S. Brandt, Gopal Karemore, Nico Karssemeijer, Mads Nielsen:
An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. IEEE Trans. Medical Imaging 30(10): 1841-1851 (2011) - [c93]Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen:
Towards exaggerated image stereotypes. ACPR 2011: 422-426 - [c92]Lars Lau Rakêt, Lars Roholm, Mads Nielsen, François Lauze:
TV-L1 Optical Flow for Vector Valued Images. EMMCVPR 2011: 329-343 - [c91]Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze:
Means in spaces of tree-like shapes. ICCV 2011: 736-746 - [c90]Aditya Tatu, François Lauze, Mads Nielsen, Benjamin B. Kimia:
Exploring the representation capabilities of the HOG descriptor. ICCV Workshops 2011: 1410-1417 - [c89]Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne:
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI 2011: 49-60 - [c88]Stefan Sommer, Mads Nielsen, François Lauze, Xavier Pennec:
A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. IPMI 2011: 624-635 - [c87]Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI 2011: 10-17 - [c86]Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, Søren Forchhammer:
Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. MMSP 2011: 1-6 - [c85]Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec:
Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. SSVM 2011: 677-688 - [i2]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher Order Kernels and Locally Affine LDDMM Registration. CoRR abs/1112.3166 (2011) - 2010
- [j25]Aditya Tatu, François Lauze, Stefan Sommer, Mads Nielsen:
On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric. J. Math. Imaging Vis. 38(3): 226-240 (2010) - [j24]Arish A. Qazi, Dan R. Jørgensen, Martin Lillholm, Marco Loog, Mads Nielsen, Erik B. Dam:
A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Anal. 14(3): 255-264 (2010) - [c84]Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen:
Geometries on Spaces of Treelike Shapes. ACCV (2) 2010: 160-173 - [c83]Stefan Sommer, François Lauze, Søren Hauberg, Mads Nielsen:
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. ECCV (6) 2010: 43-56 - [c82]Kersten Petersen, Mads Nielsen, Sami S. Brandt:
A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. ECCV (4) 2010: 666-679 - [c81]Konstantin Chernoff, Mads Nielsen:
Weighting of the k-Nearest-Neighbors. ICPR 2010: 666-669 - [c80]Aasa Feragen, François Lauze, Mads Nielsen:
Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR 2010: 2089-2093 - [c79]Melanie Ganz, Marleen de Bruijne, Mads Nielsen:
MACD: an imaging marker for cardiovascular disease. Medical Imaging: Computer-Aided Diagnosis 2010: 76240P - [c78]Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne:
Quantitative analysis of airway abnormalities in CT. Medical Imaging: Computer-Aided Diagnosis 2010: 76241S - [c77]Kersten Petersen, Mads Nielsen, Sami S. Brandt:
Conditional Point Distribution Models. MCV 2010: 1-10 - [c76]Melanie Ganz, Mads Nielsen, Sami S. Brandt:
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos. MLMI 2010: 34-41 - [c75]Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne:
Early Detection of Emphysema Progression. MICCAI (2) 2010: 193-200 - [c74]Chen Chen, Konstantin Chernoff, Gopal Karemore, Pechin Lo, Mads Nielsen, François Lauze:
Classification in medical images using adaptive metric k-NN. Medical Imaging: Image Processing 2010: 76230S - [i1]Stefan Sommer, François Lauze, Mads Nielsen:
The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis. CoRR abs/1008.1902 (2010)
2000 – 2009
- 2009
- [j23]Mads Nielsen, Wiro J. Niessen, Carl-Fredrik Westin:
Editorial. Int. J. Comput. Vis. 85(3): 209-210 (2009) - [c73]Melanie Ganz, Marco Loog, Sami S. Brandt, Mads Nielsen:
Dense iterative contextual pixel classification using Kriging. CVPR Workshops 2009: 87-93 - [c72]Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze:
Bicycle chain shape models. CVPR Workshops 2009: 157-163 - [c71]Konstantin Chernoff, Mads Nielsen:
Projected Generalized Procrustes Alignment. IPMI 2009: 503-514 - [c70]Naga P. K. R. Dandu, Mads Nielsen:
Scale focusing of statistical shape models for breast region segmentation and pectoral muscle suppression. Medical Imaging: Computer-Aided Diagnosis 2009: 72600I - [c69]Gopal Karemore, Mads Nielsen:
Fractal dimension and lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: a longitudinal and cross-sectional study. Medical Imaging: Computer-Aided Diagnosis 2009: 72602F - [c68]Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne:
Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) 2009: 699-706 - [c67]Alessandro Crimi, Anarta Ghosh, Jon Sporring, Mads Nielsen:
Bayes estimation of shape model with application to vertebrae boundaries. Medical Imaging: Image Processing 2009: 72590A - [c66]Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne:
Mass preserving registration for lung CT. Medical Imaging: Image Processing 2009: 72592R - [c65]David Gustavsson, Kim Steenstrup Pedersen, François Lauze, Mads Nielsen:
On the Rate of Structural Change in Scale Spaces. SSVM 2009: 832-843 - [c64]David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen:
A SVD based Image Complexity Measure. VISAPP (2) 2009: 34-39 - 2008
- [j22]François Lauze, Mads Nielsen:
From Inpainting to Active Contours. Int. J. Comput. Vis. 79(1): 31-43 (2008) - [j21]Mads Nielsen, Marleen de Bruijne, Camilla Jørgensen, Søren I. Olsen, Kim Steenstrup Pedersen, Jon Sporring:
Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. 31(2-3): 119-120 (2008) - [j20]Anne Cuzol, Kim Steenstrup Pedersen, Mads Nielsen:
Field of Particle Filters for Image Inpainting. J. Math. Imaging Vis. 31(2-3): 147-156 (2008) - [j19]Mads Nielsen, Peter Johansen, Andrew D. Jackson, Benny Lautrup, Søren Hauberg:
Brownian Warps for Non-Rigid Registration. J. Math. Imaging Vis. 31(2-3): 221-231 (2008) - [j18]Sune Høgild Keller, François Lauze, Mads Nielsen:
Deinterlacing Using Variational Methods. IEEE Trans. Image Process. 17(11): 2015-2028 (2008) - [j17]Jakob Raundahl, Marco Loog, Paola Pettersen, László B. Tankó, Mads Nielsen:
Automated Effect-Specific Mammographic Pattern Measures. IEEE Trans. Medical Imaging 27(8): 1054-1060 (2008) - [c63]Gopal Karemore, Mads Nielsen, Kim Komal Mascarenhas, K. S. Choudhary, Ajeethkumar Patil, V. K. Unnikrishnan, Vijendra Prabhu, Arunkumar Chowla, C. Santhosh:
Classification of Laser Induced Fluorescence spectra from normal and malignant tissues using Learning Vector Quantization neural network in bladder cancer diagnosis. BIBE 2008: 1-6 - [c62]Vladlena Gorbunova, Pechin Lo, Haseem Ashraf, Asger Dirksen, Mads Nielsen, Marleen de Bruijne:
Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. MICCAI (2) 2008: 863-870 - [c61]Arish A. Qazi, Erik B. Dam, Marco Loog, Mads Nielsen, François Lauze, Claus Christiansen:
A variational method for automatic localization of the most pathological ROI in the knee cartilage. Medical Imaging: Image Processing 2008: 69140T - [c60]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
- [j16]David J. Hawkes, Mads Nielsen:
Editorial. Medical Image Anal. 11(5): 415-416 (2007) - [j15]Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen:
Quantitative vertebral morphometry using neighbor-conditional shape models. Medical Image Anal. 11(5): 503-512 (2007) - [c59]Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou:
Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. Medical Imaging: Computer-Aided Diagnosis 2007: 65142N - [c58]Juan Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen:
A Family of Principal Component Analyses for Dealing with Outliers. MICCAI (2) 2007: 178-185 - [c57]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Paola Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen:
Quantifying Calcification in the Lumbar Aorta on X-Ray Images. MICCAI (2) 2007: 352-359 - [c56]Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen:
Quantifying Effect-Specific Mammographic Density. MICCAI (2) 2007: 580-587 - [c55]Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen:
Evaluation of four mammographic density measures on HRT data. Medical Imaging: Image Processing 2007: 65121F - [c54]Mads Nielsen:
Evaluation of Brownian warps for shape alignment. Medical Imaging: Image Processing 2007: 65123Y - [c53]Arish A. Qazi, Erik B. Dam, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen:
Automatic detection of diseased regions in knee cartilage. Medical Imaging: Image Processing 2007: 651211 - [c52]Marleen de Bruijne, Paola C. Pettersen, László B. Tankó, Mads Nielsen:
Vertebral fracture classification. Medical Imaging: Image Processing 2007: 651219 - [c51]Aditya Tatu, François Lauze, Mads Nielsen, Ole Fogh Olsen:
Curve Evolution in Subspaces. SSVM 2007: 754-764 - [c50]Sune Høgild Keller, François Lauze, Mads Nielsen:
Motion Compensated Video Super Resolution. SSVM 2007: 801-812 - [c49]David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen:
Image Inpainting by Cooling and Heating. SCIA 2007: 591-600 - 2006
- [j14]Ole Fogh Olsen, Mads Nielsen:
The Generic Structure of the Optic Flow Field. J. Math. Imaging Vis. 24(1): 37-53 (2006) - [j13]Arjan Kuijper, Ole Fogh Olsen, Peter J. Giblin, Mads Nielsen:
Alternative 2D Shape Representations using the Symmetry Set. J. Math. Imaging Vis. 26(1-2): 127-147 (2006) - [c48]Jakob Raundahl, Marco Loog, Mads Nielsen:
Understanding Hessian-Based Density Scoring. Digital Mammography / IWDM 2006: 447-452 - [c47]Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen:
Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models. MICCAI (1) 2006: 1-8 - [c46]Jakob Raundahl, Marco Loog, Mads Nielsen:
Mammographic density measured as changes in tissue structure caused by HRT. Medical Imaging: Image Processing 2006: 61440G - [c45]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen:
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Medical Imaging: Image Processing 2006: 61441F - [p2]Mads Nielsen, Bo Markussen:
From Bayes to PDEs in Image Warping. Handbook of Mathematical Models in Computer Vision 2006: 259-272 - [e8]Rasmus Larsen, Mads Nielsen, Jon Sporring:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4190, Springer 2006, ISBN 3-540-44707-5 [contents] - [e7]Rasmus Larsen, Mads Nielsen, Jon Sporring:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4191, Springer 2006, ISBN 3-540-44727-X [contents] - 2005
- [c44]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen:
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. CVBIA 2005: 409-418 - [c43]Marleen de Bruijne, Mads Nielsen:
Multi-object Segmentation Using Shape Particles. IPMI 2005: 762-773 - [c42]Lars Arne Conrad-Hansen, François Lauze, László B. Tankó, Mads Nielsen:
Quantizing calcification in the lumbar aorta on 2-D lateral x-ray images. Medical Imaging: Image Processing 2005 - [c41]Jenny Folkesson, Erik Dam, Paola Pettersen, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen:
Locating articular cartilage in MR images. Medical Imaging: Image Processing 2005 - [c40]Michael Tillge Lund, Marleen de Bruijne, László B. Tankó, Mads Nielsen:
Shape regression for vertebra fracture quantification. Medical Imaging: Image Processing 2005 - [c39]Sune Høgild Keller, François Lauze, Mads Nielsen:
A Total Variation Motion Adaptive Deinterlacing Scheme. Scale-Space 2005: 408-418 - [c38]Kim Steenstrup Pedersen, Remco Duits, Mads Nielsen:
On alpha Kernels, Lévy Processes, and Natural Image Statistics. Scale-Space 2005: 468-479 - [c37]François Lauze, Mads Nielsen:
From Inpainting to Active Contours. VLSM 2005: 97-108 - 2004
- [c36]François Lauze, Mads Nielsen:
A Variational Algorithm For Motion Compensated Inpainting. BMVC 2004: 1-11 - [c35]Mads Nielsen, Peter Johansen:
A PDE Solution of Brownian Warping. ECCV (4) 2004: 180-191 - [c34]Arjan Kuijper, Ole Fogh Olsen, Peter J. Giblin, Philip Bille, Mads Nielsen:
From a 2D Shape to a String Structure Using the Symmetry Set. ECCV (2) 2004: 313-325 - [c33]Dan Witzner Hansen, David J. C. MacKay, John Paulin Hansen, Mads Nielsen:
Eye tracking off the shelf. ETRA 2004: 58 - [c32]Marleen de Bruijne, Mads Nielsen:
Image Segmentation by Shape Particle Filtering. ICPR (3) 2004: 722-725 - [c31]Marleen de Bruijne, Mads Nielsen:
Shape Particle Filtering for Image Segmentation. MICCAI (1) 2004: 168-175 - [c30]Lars A. Conrad-Hansen, Jakob Raundahl, László B. Tankó, Mads Nielsen:
Prediction of the location of the lumbar aorta using the first four lumbar vertebrae as a predictor. Medical Imaging: Image Processing 2004 - [c29]Nanna Glerup, Mads Nielsen, Jon Sporring, Sven Kreiborg:
Asymmetry quantization and application to human mandibles. Medical Imaging: Image Processing 2004 - [c28]Jakob Raundahl, Mads Nielsen, Ole Fogh Olsen, Yu Zhao Bagger:
Effect of projective viewpoint in detecting temporal density changes. Medical Imaging: Image Processing 2004 - 2003
- [j12]Martin Lillholm, Mads Nielsen, Lewis D. Griffin:
Feature-Based Image Analysis. Int. J. Comput. Vis. 52(2-3): 73-95 (2003) - [c27]Erik Dam, Ole Fogh Olsen, Mads Nielsen:
Approximating Non-linear Diffusion. Scale-Space 2003: 117-131 - [c26]Marco Loog, Martin Lillholm, Mads Nielsen, Max A. Viergever:
Gaussian Scale Space from Insufficient Image Information. Scale-Space 2003: 757-769 - [c25]Jon Sporring, Niels Holm Olsen, Mads Nielsen:
Detection and Localization of Random Signals. Scale-Space 2003: 785-797 - [c24]Niels Holm Olsen, Jon Sporring, Mads Nielsen, Christina Hnida, Seren Ziebe:
Reconstructing the Optical Thickness from Hoffman Modulation Contrast Images. SCIA 2003: 526-533 - 2002
- [j11]Mads Nielsen, Lars Kai Hansen, Peter Johansen, Jon Sporring:
Guest Editorial: Special Issue on Statistics of Shapes and Textures. J. Math. Imaging Vis. 17(2): 87 (2002) - [c23]Mads Nielsen, Peter Johansen, Andrew D. Jackson, Benny Lautrup:
Brownian Warps: A Least Committed Prior for Non-rigid Registration. MICCAI (2) 2002: 557-564 - [c22]Dan Witzner Hansen, Mads Nielsen, John Paulin Hansen, Anders Sewerin Johansen, Mikkel B. Stegmann:
Tracking Eyes Using Shape and Appearance. MVA 2002: 201-204 - [c21]Dan Witzner Hansen, John Paulin Hansen, Mads Nielsen, Anders Sewerin Johansen, Mikkel B. Stegmann:
Eye Typing using Markov and Active Appearance Models. WACV 2002: 132-136 - [e6]Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen:
Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I. Lecture Notes in Computer Science 2350, Springer 2002, ISBN 3-540-43745-2 [contents] - [e5]Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen:
Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part II. Lecture Notes in Computer Science 2351, Springer 2002, ISBN 3-540-43744-4 [contents] - [e4]Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen:
Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part III. Lecture Notes in Computer Science 2352, Springer 2002, ISBN 3-540-43746-0 [contents] - [e3]Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen:
Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part IV. Lecture Notes in Computer Science 2353, Springer 2002, ISBN 3-540-43748-7 [contents] - 2001
- [j10]Per Rønsholt Andresen, Mads Nielsen:
Non-rigid registration by geometry-constrained diffusion. Medical Image Anal. 5(2): 81-88 (2001) - [c20]Mads Nielsen, Ole Fogh Olsen, Michael Sig, Mikkel Sigurd:
Koenderink Corner Points. IWVF 2001: 420-430 - [c19]Kim Steenstrup Pedersen, Mads Nielsen:
Computing Optic Flow by Scale-Space Integration of Normal Flow. Scale-Space 2001: 14-25 - [c18]Mads Nielsen, Martin Lillholm:
What Do Features Tell about Images? Scale-Space 2001: 39-50 - [c17]Bart M. ter Haar Romeny, Luc Florack, Mads Nielsen:
Scale-Time Kernels and Models. Scale-Space 2001: 255-263 - [c16]Erik Dam, Mads Nielsen:
Exploring Non-linear Diffusion: The Diffusion Echo. Scale-Space 2001: 264-272 - 2000
- [j9]Jon Sporring, Ole Fogh Olsen, Mads Nielsen, Joachim Weickert:
Smoothing images creates corners. Image Vis. Comput. 18(3): 261-266 (2000) - [j8]Peter Johansen, Mads Nielsen, Ole Fogh Olsen:
Branch Points in One-Dimensional Gaussian Scale Space. J. Math. Imaging Vis. 13(3): 193-203 (2000) - [j7]Olivier D. Faugeras, Mads Nielsen, Pietro Perona, Bart M. ter Haar Romeny, Guillermo Sapiro:
Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. J. Vis. Commun. Image Represent. 11(2): 95 (2000) - [j6]Kim Steenstrup Pedersen, Mads Nielsen:
The Hausdorff Dimension and Scale-Space Normalization of Natural Images. J. Vis. Commun. Image Represent. 11(2): 266-277 (2000) - [c15]Niels Holm Olsen, Mads Nielsen:
Lie Group Modeling of Nonlinear Point Set Shape Variability. AFPAC 2000: 259-268 - [c14]Erik Dam, Mads Nielsen:
Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. MICCAI 2000: 216-225
1990 – 1999
- 1999
- [j5]Mads Nielsen, Robert Maas, Wiro J. Niessen, Luc Florack, Bart M. ter Haar Romeny:
Binocular Stereo from Grey-Scale Images. J. Math. Imaging Vis. 10(2): 103-122 (1999) - [c13]Per Rønsholt Andresen, Mads Nielsen:
Non-rigid Registration by Geometry-Constrained Diffusion. MICCAI 1999: 533-543 - [c12]Kim Steenstrup Pedersen, Mads Nielsen:
The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. Scale-Space 1999: 271-282 - [e2]Mads Nielsen, Peter Johansen, Ole Fogh Olsen, Joachim Weickert:
Scale-Space Theories in Computer Vision, Second International Conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999, Proceedings. Lecture Notes in Computer Science 1682, Springer 1999, ISBN 3-540-66498-X [contents] - 1998
- [j4]Luc Florack, Wiro J. Niessen, Mads Nielsen:
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality. Int. J. Comput. Vis. 27(3): 263-286 (1998) - [c11]Mads Nielsen, Ole Fogh Olsen:
The Structure of the Optic Flow Field. ECCV (2) 1998: 271-287 - [c10]Mads Nielsen, Per Rønsholt Andresen:
Feature Displacement Interpolation. ICIP (3) 1998: 208-212 - [c9]Jon Sporring, Mads Nielsen, Joachim Weickert, Ole Fogh Olsen:
A note on differential corner measures. ICPR 1998: 652-654 - [c8]Per Rønsholt Andresen, Mads Nielsen, Sven Kreiborg:
4D Shape-Preserving Modeling of Bone Growth. MICCAI 1998: 710-719 - 1997
- [j3]Wiro J. Niessen, James S. Duncan, Mads Nielsen, Luc Florack, Bart M. ter Haar Romeny, Max A. Viergever:
Multiscale Approach to Image Sequence Analysis. Comput. Vis. Image Underst. 65(2): 259-268 (1997) - [j2]Mads Nielsen, Luc Florack, Rachid Deriche:
Regularization, Scale-Space, and Edge Detection Filters. J. Math. Imaging Vis. 7(4): 291-307 (1997) - [j1]Mads Nielsen:
Graduated Nonconvexity by Functional Focusing. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 521-525 (1997) - [c7]Ole Fogh Olsen, Mads Nielsen:
Multiscale Gradient Magnitude Watershed Segmentation. ICIAP (1) 1997: 6-13 - [c6]Mads Nielsen, Wiro J. Niessen, Robert Maas, Luc Florack, Bart M. ter Haar Romeny:
On the Duality of Scalar and Density Flows. Scale-Space 1997: 65-76 - [c5]Ole Fogh Olsen, Mads Nielsen:
Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation. Scale-Space 1997: 101-112 - [p1]Mads Nielsen:
Scale-Space Generators and Functionals. Gaussian Scale-Space Theory 1997: 99-114 - [e1]Jon Sporring, Mads Nielsen, Luc Florack, Peter Johansen:
Gaussian Scale-Space Theory. Computational Imaging and Vision 8, Springer 1997, ISBN 978-90-481-4852-3 [contents] - 1996
- [c4]Mads Nielsen, Luc Florack, Rachid Deriche:
Regularization, Scale-Space, and Edge Detection Filters. ECCV (2) 1996: 70-81 - 1995
- [c3]Mads Nielsen:
Surface Reconstruction: GNCs and MFA. ICCV 1995: 344- - 1993
- [c2]Mads Nielsen:
Isotropic Regularization. BMVC 1993: 1-10 - [c1]Mads Nielsen:
Graduated Non-Convexity by Smoothness Focusing. BMVC 1993: 1-10
Coauthor Index
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