Mads Nielsen - RankMe

243 papers A* 3A 7B 29C 2Misc 1Journal 92Unranked 95

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imaging. CoRR William Michael Laprade, Jesper Cairo Westergaard, Svend Christensen, Mads Nielsen, Anders Bjorholm Dahl
2025	J	`jnl`	A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. CoRR Asbjørn Munk, Stefano Cerri, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora-García, Mostafa Mehdipour-Ghazi, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen
2025	—	`conf`	Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging. SCIA (1) Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025	—	`conf`	Deep Learning for Localization of White Matter Lesions in Neurological Diseases. NLDL Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025	J	`jnl`	Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease. CoRR Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025	—	`conf`	FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain. SCIA (1) Mostafa Mehdipour-Ghazi, Mads Nielsen
2025	—	`conf`	General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. MICCAI (7) Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	J	`jnl`	General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. CoRR Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	J	`jnl`	Predicting abnormal fetal growth using deep learning. npj Digit. Medicine Kamil Wojciech Mikolaj, Anders Nymark Christensen, Caroline Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard
2025	J	`jnl`	Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models. CoRR Jakob Krogh Petersen, Valdemar Licht, Mads Nielsen, Asbjørn Munk
2025	—	`conf`	Revisiting Clip: Efficient Alignment of 3D MRI and Tabular Data Using Domain-Specific Foundation Models. ISBI Jakob Krogh Petersen, Valdemar Licht, Mads Nielsen, Asbjørn Munk
2025	—	`conf`	Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency. MICCAI (5) Ao Ma, Qingpeng Zhu, Jingjing Li, Mads Nielsen, Xu Chen
2025	J	`jnl`	To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models. CoRR Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025	J	`jnl`	Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning. CoRR Julia Machnio, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024	J	`jnl`	AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation. CoRR Asbjørn Munk, Jakob Ambsdorf, Sebastian Nørgaard Llambias, Mads Nielsen
2024	J	`jnl`	Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis. CoRR Milla E. Nielsen, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024	J	`jnl`	CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
2024	—	`conf`	CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT. MLHC Mikkel Odgaard, Kiril Vadimovic Klein, Martin Sillesen, Sanne Møller Thysen, Espen Jimenez-Solem, Mads Nielsen
2024	J	`jnl`	CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT. CoRR Mikkel Odgaard, Kiril Vadimovic Klein, Sanne Møller Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen
2024	—	`conf`	Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024	—	`conf`	HyperLeaf2024 - A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves. CVPR Workshops William Michael Laprade, Pawel Tomasz Pieta, Svetlana Kutuzova, Jesper Cairo Westergaard, Mads Nielsen, Svend Christensen, Anders Bjorholm Dahl
2024	—	`conf`	Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI 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
2024	J	`jnl`	Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR 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
2024	—	`conf`	Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
2024	J	`jnl`	Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. CoRR Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
2024	—	`conf`	MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. NLDL Asbjørn Munk, Mads Nielsen
2024	—	`conf`	Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 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
2024	J	`jnl`	Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR 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
2024	J	`jnl`	Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023	—	`conf`	Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen
2023	—	`conf`	An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders. SCIA (2) William Michael Laprade, Jesper Cairo Westergaard, Jon Nielsen, Mads Nielsen, Anders Bjorholm Dahl
2023	J	`jnl`	Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023	—	`conf`	Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. ISBI Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023	J	`jnl`	Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. CoRR Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023	—	`conf`	Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI 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
2023	J	`jnl`	MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. CoRR Asbjørn Munk, Ao Ma, Mads Nielsen
2023	J	`jnl`	Online transfer learning with partial feedback. Expert Syst. Appl. Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen
2023	J	`jnl`	Partial feedback online transfer learning with multi-source domains. Inf. Fusion Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi
2022	J	`jnl`	A buffered online transfer learning algorithm with multi-layer network. Neurocomputing Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang
2022	J	`jnl`	Augmentation based unsupervised domain adaptation. CoRR Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
2022	J	`jnl`	FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen
2022	A*	`conf`	Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2022	—	`conf`	Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
2022	J	`jnl`	Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. CoRR Andreas D. Lauritzen, My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
2021	J	`jnl`	CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
2021	J	`jnl`	Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2021	—	`ed.`	Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings IPMI Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen
2021	B	`conf`	Lesion-wise evaluation for effective performance monitoring of small object segmentation. Image Processing 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
2021	J	`jnl`	Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel
2021	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. NeuroImage Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2020	J	`jnl`	Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
2020	J	`jnl`	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. Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot L. Siegel, Mads Nielsen
2019	J	`jnl`	Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne
2019	—	`conf`	Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	J	`jnl`	Knowledge distillation for semi-supervised domain adaptation. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	J	`jnl`	Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR 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
2019	—	`conf`	Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 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
2019	—	`ed.`	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 MBIA/MFCA@MICCAI 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
2019	—	`conf`	On the Initialization of Long Short-Term Memory Networks. ICONIP (1) Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	On the Initialization of Long Short-Term Memory Networks. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	B	`conf`	PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Image Processing Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2019	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	J	`jnl`	On Variational Methods for Motion Compensated Inpainting. CoRR François Lauze, Mads Nielsen
2018	J	`jnl`	PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2018	J	`jnl`	Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	J	`jnl`	Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
2017	J	`jnl`	A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
2017	—	`ch.`	Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen
2017	—	`conf`	Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. SCIA (1) Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen
2017	J	`jnl`	Convolutional neural networks for segmentation and object detection of human semen. CoRR Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen
2017	—	`ed.`	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 GRAIL/MFCA/MICGen@MICCAI 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
2016	—	`conf`	A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
2016	B	`conf`	Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Image Processing Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
2016	J	`jnl`	Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
2016	—	`conf`	Learning Density Independent Texture Features. Digital Mammography / IWDM Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
2016	B	`conf`	Supervised hub-detection for brain connectivity. Image Processing Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen
2016	J	`jnl`	Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen
2016	J	`jnl`	Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 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
2015	—	`conf`	Diffeomorphic image registration with automatic time-step adjustment. ISBI Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen
2015	B	`conf`	Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Image Processing Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
2015	—	`conf`	Locally Orderless Registration for Diffusion Weighted Images. MICCAI (2) Henrik G. Jensen, François Lauze, Mads Nielsen, Sune Darkner
2014	J	`jnl`	Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen
2014	—	`conf`	Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm
2014	J	`jnl`	Geometry and Statistics: Manifolds and Stratified Spaces. J. Math. Imaging Vis. Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze
2014	J	`jnl`	Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2014	J	`jnl`	Optimization over geodesics for exact principal geodesic analysis. Adv. Comput. Math. Stefan Sommer, François Lauze, Mads Nielsen
2014	—	`conf`	Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
2013	J	`jnl`	A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. Mach. Vis. Appl. Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm
2013	—	`conf`	Cube propagation for focal brain atrophy estimation. ISBI 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
2013	—	`conf`	Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen
2013	—	`conf`	Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. EMBC Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik B. Dam, Mads Nielsen
2013	J	`jnl`	Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. SIAM J. Imaging Sci. Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec
2013	J	`jnl`	Mathematical Methods for Medical Imaging. Int. J. Comput. Vis. Xavier Pennec, Sarang C. Joshi, Mads Nielsen
2013	B	`conf`	Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Image Processing Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen
2013	J	`jnl`	Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. J. Math. Imaging Vis. Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec
2013	J	`jnl`	Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2012	J	`jnl`	A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging Kersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt
2012	B	`conf`	A splitting algorithm for directional regularization and sparsification. ICPR Lars Lau Rakêt, Mads Nielsen
2012	J	`jnl`	Automatic Quantification of Tibio-Femoral Contact Area and Congruity. IEEE Trans. Medical Imaging Sudhakar Tummala, Mads Nielsen, Martin Lillholm, Claus Christiansen, Erik B. Dam
2012	B	`conf`	Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. Image Processing Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik Dam, Mads Nielsen
2012	J	`jnl`	Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen
2012	—	`conf`	Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation. Digital Mammography / IWDM Gopal Karemore, Brad M. Keller, Huen Oh, Julia Tchou, Mads Nielsen, Emily F. Conant, Despina Kontos
2012	J	`jnl`	Mass preserving image registration for lung CT. Medical Image Anal. Vladlena Gorbunova, Jon Sporring, Pechin Lo, Martine Loeve, Harm A. Tiddens, Mads Nielsen, Asger Dirksen, Marleen de Bruijne
2012	B	`conf`	Metric learning by directly minimizing the k-NN training error. ICPR Konstantin Chernoff, Marco Loog, Mads Nielsen
2012	—	`conf`	Sparsity and scale: Compact representations of deformation for diffeomorphic registration. MMBIA Stefan Sommer, Mads Nielsen, Xavier Pennec
2012	J	`jnl`	Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2012	J	`jnl`	Towards a theory of statistical tree-shape analysis CoRR Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2012	—	`conf`	Towards exaggerated emphysema stereotypes. Computer-Aided Diagnosis C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
2011	—	`conf`	A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. IPMI Stefan Sommer, Mads Nielsen, François Lauze, Xavier Pennec
2011	J	`jnl`	An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. IEEE Trans. Medical Imaging Sami S. Brandt, Gopal Karemore, Nico Karssemeijer, Mads Nielsen
2011	—	`conf`	Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm
2011	—	`conf`	Exploring the representation capabilities of the HOG descriptor. ICCV Workshops Aditya Tatu, François Lauze, Mads Nielsen, Benjamin B. Kimia
2011	J	`jnl`	Higher Order Kernels and Locally Affine LDDMM Registration CoRR Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec
2011	—	`conf`	Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. SSVM Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec
2011	J	`jnl`	Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging Alessandro Crimi, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne, Erik B. Dam, Jon Sporring
2011	A*	`conf`	Means in spaces of tree-like shapes. ICCV Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze
2011	C	`conf`	Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. MMSP Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, Søren Forchhammer
2011	—	`conf`	Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne
2011	—	`conf`	TV- EMMCVPR Lars Lau Rakêt, Lars Roholm, Mads Nielsen, François Lauze
2011	—	`conf`	Towards exaggerated image stereotypes. ACPR Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen
2011	J	`jnl`	Video Super-Resolution Using Simultaneous Motion and Intensity Calculations. IEEE Trans. Image Process. Sune Høgild Keller, François Lauze, Mads Nielsen
2010	—	`conf`	A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. ECCV (4) Kersten Petersen, Mads Nielsen, Sami S. Brandt
2010	J	`jnl`	A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Anal. Arish A. Qazi, Dan R. Jørgensen, Martin Lillholm, Marco Loog, Mads Nielsen, Erik B. Dam
2010	B	`conf`	Classification in medical images using adaptive metric k-NN. Image Processing Chen Chen, Konstantin Chernoff, Gopal Karemore, Pechin Lo, Mads Nielsen, François Lauze
2010	—	`conf`	Conditional Point Distribution Models. MCV Kersten Petersen, Mads Nielsen, Sami S. Brandt
2010	—	`conf`	Early Detection of Emphysema Progression. MICCAI (2) Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne
2010	B	`conf`	Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR Aasa Feragen, François Lauze, Mads Nielsen
2010	—	`conf`	Geometries on Spaces of Treelike Shapes. ACCV (2) Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen
2010	—	`conf`	MACD: an imaging marker for cardiovascular disease. Computer-Aided Diagnosis Melanie Ganz, Marleen de Bruijne, Mads Nielsen
2010	—	`conf`	Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. ECCV (6) Stefan Sommer, François Lauze, Søren Hauberg, Mads Nielsen
2010	J	`jnl`	On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric. J. Math. Imaging Vis. Aditya Tatu, François Lauze, Stefan Sommer, Mads Nielsen
2010	—	`conf`	Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos. MLMI Melanie Ganz, Mads Nielsen, Sami S. Brandt
2010	—	`conf`	Quantitative analysis of airway abnormalities in CT. Computer-Aided Diagnosis Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne
2010	J	`jnl`	The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis CoRR Stefan Sommer, François Lauze, Mads Nielsen
2010	B	`conf`	Weighting of the k-Nearest-Neighbors. ICPR Konstantin Chernoff, Mads Nielsen
2009	—	`conf`	A SVD based Image Complexity Measure. VISAPP (2) David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen
2009	B	`conf`	Bayes estimation of shape model with application to vertebrae boundaries. Image Processing Alessandro Crimi, Anarta Ghosh, Jon Sporring, Mads Nielsen
2009	—	`conf`	Bicycle chain shape models. CVPR Workshops Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze
2009	—	`conf`	Dense iterative contextual pixel classification using Kriging. CVPR Workshops Melanie Ganz, Marco Loog, Sami S. Brandt, Mads Nielsen
2009	J	`jnl`	Editorial. Int. J. Comput. Vis. Mads Nielsen, Wiro J. Niessen, Carl-Fredrik Westin
2009	—	`conf`	Fractal dimension and lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: a longitudinal and cross-sectional study. Computer-Aided Diagnosis Gopal Karemore, Mads Nielsen
2009	—	`conf`	Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne
2009	B	`conf`	Mass preserving registration for lung CT. Image Processing Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne
2009	—	`conf`	On the Rate of Structural Change in Scale Spaces. SSVM David Gustavsson, Kim Steenstrup Pedersen, François Lauze, Mads Nielsen
2009	—	`conf`	Projected Generalized Procrustes Alignment. IPMI Konstantin Chernoff, Mads Nielsen
2009	—	`conf`	Scale focusing of statistical shape models for breast region segmentation and pectoral muscle suppression. Computer-Aided Diagnosis Naga P. K. R. Dandu, Mads Nielsen
2008	B	`conf`	A variational method for automatic localization of the most pathological ROI in the knee cartilage. Image Processing Arish A. Qazi, Erik B. Dam, Marco Loog, Mads Nielsen, François Lauze, Claus Christiansen
2008	J	`jnl`	Automated Effect-Specific Mammographic Pattern Measures. IEEE Trans. Medical Imaging Jakob Raundahl, Marco Loog, Paola Pettersen, László B. Tankó, Mads Nielsen
2008	J	`jnl`	Brownian Warps for Non-Rigid Registration. J. Math. Imaging Vis. Mads Nielsen, Peter Johansen, Andrew D. Jackson, Benny Lautrup, Søren Hauberg
2008	C	`conf`	Classification of Laser Induced Fluorescence spectra from normal and malignant tissues using Learning Vector Quantization neural network in bladder cancer diagnosis. BIBE Gopal Karemore, Mads Nielsen, Kim Komal Mascarenhas, K. S. Choudhary, Ajeethkumar Patil, V. K. Unnikrishnan, Vijendra Prabhu, Arunkumar Chowla, C. Santhosh
2008	J	`jnl`	Deinterlacing Using Variational Methods. IEEE Trans. Image Process. Sune Høgild Keller, François Lauze, Mads Nielsen
2008	J	`jnl`	Field of Particle Filters for Image Inpainting. J. Math. Imaging Vis. Anne Cuzol, Kim Steenstrup Pedersen, Mads Nielsen
2008	J	`jnl`	From Inpainting to Active Contours. Int. J. Comput. Vis. François Lauze, Mads Nielsen
2008	—	`conf`	Nonrigid Object Segmentation and Occlusion Detection in Image Sequences. VISAPP (1) Ketut Fundana, Niels Chr. Overgaard, Anders Heyden, David Gustavsson, Mads Nielsen
2008	J	`jnl`	Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. Mads Nielsen, Marleen de Bruijne, Camilla Jørgensen, Søren I. Olsen, Kim Steenstrup Pedersen, Jon Sporring
2008	—	`conf`	Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. MICCAI (2) Vladlena Gorbunova, Pechin Lo, Haseem Ashraf, Asger Dirksen, Mads Nielsen, Marleen de Bruijne
2007	—	`conf`	A Family of Principal Component Analyses for Dealing with Outliers. MICCAI (2) Juan Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen
2007	B	`conf`	Automatic detection of diseased regions in knee cartilage. Image Processing Arish A. Qazi, Erik B. Dam, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen
2007	—	`conf`	Curve Evolution in Subspaces. SSVM Aditya Tatu, François Lauze, Mads Nielsen, Ole Fogh Olsen
2007	J	`jnl`	Editorial. Medical Image Anal. David J. Hawkes, Mads Nielsen
2007	B	`conf`	Evaluation of Brownian warps for shape alignment. Image Processing Mads Nielsen
2007	B	`conf`	Evaluation of four mammographic density measures on HRT data. Image Processing Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen
2007	—	`conf`	Image Inpainting by Cooling and Heating. SCIA David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen
2007	—	`conf`	Motion Compensated Video Super Resolution. SSVM Sune Høgild Keller, François Lauze, Mads Nielsen
2007	—	`conf`	Quantifying Calcification in the Lumbar Aorta on X-Ray Images. MICCAI (2) Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Paola Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen
2007	—	`conf`	Quantifying Effect-Specific Mammographic Density. MICCAI (2) Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen
2007	J	`jnl`	Quantitative vertebral morphometry using neighbor-conditional shape models. Medical Image Anal. Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen
2007	—	`conf`	Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. Computer-Aided Diagnosis Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou
2007	B	`conf`	Vertebral fracture classification. Image Processing Marleen de Bruijne, Paola C. Pettersen, László B. Tankó, Mads Nielsen
2006	B	`conf`	A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Image Processing Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen
2006	J	`jnl`	Alternative 2D Shape Representations using the Symmetry Set. J. Math. Imaging Vis. Arjan Kuijper, Ole Fogh Olsen, Peter J. Giblin, Mads Nielsen
2006	—	`ch.`	From Bayes to PDEs in Image Warping. Handbook of Mathematical Models in Computer Vision Mads Nielsen, Bo Markussen
2006	B	`conf`	Mammographic density measured as changes in tissue structure caused by HRT. Image Processing Jakob Raundahl, Marco Loog, Mads Nielsen
2006	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I MICCAI (1) Rasmus Larsen, Mads Nielsen, Jon Sporring
2006	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part II MICCAI (2) Rasmus Larsen, Mads Nielsen, Jon Sporring
2006	—	`conf`	Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models. MICCAI (1) Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen
2006	J	`jnl`	The Generic Structure of the Optic Flow Field. J. Math. Imaging Vis. Ole Fogh Olsen, Mads Nielsen
2006	—	`conf`	Understanding Hessian-Based Density Scoring. Digital Mammography / IWDM Jakob Raundahl, Marco Loog, Mads Nielsen
2005	—	`conf`	A Total Variation Motion Adaptive Deinterlacing Scheme. Scale-Space Sune Høgild Keller, François Lauze, Mads Nielsen
2005	—	`conf`	From Inpainting to Active Contours. VLSM François Lauze, Mads Nielsen
2005	B	`conf`	Locating articular cartilage in MR images. Image Processing Jenny Folkesson, Erik Dam, Paola Pettersen, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen
2005	—	`conf`	Multi-object Segmentation Using Shape Particles. IPMI Marleen de Bruijne, Mads Nielsen
2005	—	`conf`	On alpha Kernels, Lévy Processes, and Natural Image Statistics. Scale-Space Kim Steenstrup Pedersen, Remco Duits, Mads Nielsen
2005	—	`conf`	Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. CVBIA Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen
2005	B	`conf`	Quantizing calcification in the lumbar aorta on 2-D lateral x-ray images. Image Processing Lars Arne Conrad-Hansen, François Lauze, László B. Tankó, Mads Nielsen
2005	B	`conf`	Shape regression for vertebra fracture quantification. Image Processing Michael Tillge Lund, Marleen de Bruijne, László B. Tankó, Mads Nielsen
2004	—	`conf`	A PDE Solution of Brownian Warping. ECCV (4) Mads Nielsen, Peter Johansen
2004	A	`conf`	A Variational Algorithm For Motion Compensated Inpainting. BMVC François Lauze, Mads Nielsen
2004	B	`conf`	Asymmetry quantization and application to human mandibles. Image Processing Nanna Glerup, Mads Nielsen, Jon Sporring, Sven Kreiborg
2004	B	`conf`	Effect of projective viewpoint in detecting temporal density changes. Image Processing Jakob Raundahl, Mads Nielsen, Ole Fogh Olsen, Yu Zhao Bagger
2004	B	`conf`	Eye tracking off the shelf. ETRA Dan Witzner Hansen, David J. C. MacKay, John Paulin Hansen, Mads Nielsen
2004	—	`conf`	From a 2D Shape to a String Structure Using the Symmetry Set. ECCV (2) Arjan Kuijper, Ole Fogh Olsen, Peter J. Giblin, Philip Bille, Mads Nielsen
2004	—	`conf`	Image Segmentation by Shape Particle Filtering. ICPR (3) Marleen de Bruijne, Mads Nielsen
2004	B	`conf`	Prediction of the location of the lumbar aorta using the first four lumbar vertebrae as a predictor. Image Processing Lars A. Conrad-Hansen, Jakob Raundahl, László B. Tankó, Mads Nielsen
2004	—	`conf`	Shape Particle Filtering for Image Segmentation. MICCAI (1) Marleen de Bruijne, Mads Nielsen
2003	—	`conf`	Approximating Non-linear Diffusion. Scale-Space Erik Dam, Ole Fogh Olsen, Mads Nielsen
2003	—	`conf`	Detection and Localization of Random Signals. Scale-Space Jon Sporring, Niels Holm Olsen, Mads Nielsen
2003	J	`jnl`	Feature-Based Image Analysis. Int. J. Comput. Vis. Martin Lillholm, Mads Nielsen, Lewis D. Griffin
2003	—	`conf`	Gaussian Scale Space from Insufficient Image Information. Scale-Space Marco Loog, Martin Lillholm, Mads Nielsen, Max A. Viergever
2003	—	`conf`	Reconstructing the Optical Thickness from Hoffman Modulation Contrast Images. SCIA Niels Holm Olsen, Jon Sporring, Mads Nielsen, Christina Hnida, Seren Ziebe
2002	—	`conf`	Brownian Warps: A Least Committed Prior for Non-rigid Registration. MICCAI (2) Mads Nielsen, Peter Johansen, Andrew D. Jackson, Benny Lautrup
2002	—	`ed.`	Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I ECCV (1) Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
2002	—	`ed.`	Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part II ECCV (2) Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
2002	—	`ed.`	Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part III ECCV (3) Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
2002	—	`ed.`	Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part IV ECCV (4) Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
2002	A	`conf`	Eye Typing using Markov and Active Appearance Models. WACV Dan Witzner Hansen, John Paulin Hansen, Mads Nielsen, Anders Sewerin Johansen, Mikkel B. Stegmann
2002	J	`jnl`	Guest Editorial: Special Issue on Statistics of Shapes and Textures. J. Math. Imaging Vis. Mads Nielsen, Lars Kai Hansen, Peter Johansen, Jon Sporring
2002	Misc	`conf`	Tracking Eyes Using Shape and Appearance. MVA Dan Witzner Hansen, Mads Nielsen, John Paulin Hansen, Anders Sewerin Johansen, Mikkel B. Stegmann
2001	—	`conf`	Computing Optic Flow by Scale-Space Integration of Normal Flow. Scale-Space Kim Steenstrup Pedersen, Mads Nielsen
2001	—	`conf`	Exploring Non-linear Diffusion: The Diffusion Echo. Scale-Space Erik Dam, Mads Nielsen
2001	—	`conf`	Koenderink Corner Points. IWVF Mads Nielsen, Ole Fogh Olsen, Michael Sig, Mikkel Sigurd
2001	J	`jnl`	Non-rigid registration by geometry-constrained diffusion. Medical Image Anal. Per Rønsholt Andresen, Mads Nielsen
2001	—	`conf`	Scale-Time Kernels and Models. Scale-Space Bart M. ter Haar Romeny, Luc Florack, Mads Nielsen
2001	—	`conf`	What Do Features Tell about Images? Scale-Space Mads Nielsen, Martin Lillholm
2000	J	`jnl`	Branch Points in One-Dimensional Gaussian Scale Space. J. Math. Imaging Vis. Peter Johansen, Mads Nielsen, Ole Fogh Olsen
2000	—	`conf`	Lie Group Modeling of Nonlinear Point Set Shape Variability. AFPAC Niels Holm Olsen, Mads Nielsen
2000	A	`conf`	Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. MICCAI Erik Dam, Mads Nielsen
2000	J	`jnl`	Smoothing images creates corners. Image Vis. Comput. Jon Sporring, Ole Fogh Olsen, Mads Nielsen, Joachim Weickert
2000	J	`jnl`	Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. J. Vis. Commun. Image Represent. Olivier D. Faugeras, Mads Nielsen, Pietro Perona, Bart M. ter Haar Romeny, Guillermo Sapiro
2000	J	`jnl`	The Hausdorff Dimension and Scale-Space Normalization of Natural Images. J. Vis. Commun. Image Represent. Kim Steenstrup Pedersen, Mads Nielsen
1999	J	`jnl`	Binocular Stereo from Grey-Scale Images. J. Math. Imaging Vis. Mads Nielsen, Robert Maas, Wiro J. Niessen, Luc Florack, Bart M. ter Haar Romeny
1999	A	`conf`	Non-rigid Registration by Geometry-Constrained Diffusion. MICCAI Per Rønsholt Andresen, Mads Nielsen
1999	—	`ed.`	Scale-Space Theories in Computer Vision, Second International Conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999, Proceedings Scale-Space Mads Nielsen, Peter Johansen, Ole Fogh Olsen, Joachim Weickert
1999	—	`conf`	The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. Scale-Space Kim Steenstrup Pedersen, Mads Nielsen
1998	A	`conf`	4D Shape-Preserving Modeling of Bone Growth. MICCAI Per Rønsholt Andresen, Mads Nielsen, Sven Kreiborg
1998	B	`conf`	A note on differential corner measures. ICPR Jon Sporring, Mads Nielsen, Joachim Weickert, Ole Fogh Olsen
1998	—	`conf`	Feature Displacement Interpolation. ICIP (3) Mads Nielsen, Per Rønsholt Andresen
1998	J	`jnl`	The Intrinsic Structure of Optic Flow Incorporating Measurement Duality. Int. J. Comput. Vis. Luc Florack, Wiro J. Niessen, Mads Nielsen
1998	—	`conf`	The Structure of the Optic Flow Field. ECCV (2) Mads Nielsen, Ole Fogh Olsen
1997	—	`book`	Gaussian Scale-Space Theory Jon Sporring, Mads Nielsen, Luc Florack, Peter Johansen
1997	—	`conf`	Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation. Scale-Space Ole Fogh Olsen, Mads Nielsen
1997	J	`jnl`	Graduated Nonconvexity by Functional Focusing. IEEE Trans. Pattern Anal. Mach. Intell. Mads Nielsen
1997	J	`jnl`	Multiscale Approach to Image Sequence Analysis. Comput. Vis. Image Underst. Wiro J. Niessen, James S. Duncan, Mads Nielsen, Luc Florack, Bart M. ter Haar Romeny, Max A. Viergever
1997	—	`conf`	Multiscale Gradient Magnitude Watershed Segmentation. ICIAP (1) Ole Fogh Olsen, Mads Nielsen
1997	—	`conf`	On the Duality of Scalar and Density Flows. Scale-Space Mads Nielsen, Wiro J. Niessen, Robert Maas, Luc Florack, Bart M. ter Haar Romeny
1997	J	`jnl`	Regularization, Scale-Space, and Edge Detection Filters. J. Math. Imaging Vis. Mads Nielsen, Luc Florack, Rachid Deriche
1997	—	`ch.`	Scale-Space Generators and Functionals. Gaussian Scale-Space Theory Mads Nielsen
1996	—	`conf`	Regularization, Scale-Space, and Edge Detection Filters. ECCV (2) Mads Nielsen, Luc Florack, Rachid Deriche
1995	A*	`conf`	Surface Reconstruction: GNCs and MFA. ICCV Mads Nielsen
1993	A	`conf`	Graduated Non-Convexity by Smoothness Focusing. BMVC Mads Nielsen
1993	A	`conf`	Isotropic Regularization. BMVC Mads Nielsen