Martin Lillholm

31 papers B 3Journal 13Unranked 14

Year	Rank	Type	Title / Venue / Authors
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
2016	—	`conf`	Learning Density Independent Texture Features. Digital Mammography / IWDM Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
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
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
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	B	`conf`	Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach. Image Processing Peter Mysling, Sune Darkner, Jon Sporring, Erik Dam, 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	J	`jnl`	Linear feature selection in texture analysis - A PLS based method. Mach. Vis. Appl. Joselene Marques, Christian Igel, Martin Lillholm, Erik B. Dam
2013	J	`jnl`	Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps. Comput. Biol. Medicine Dan R. Jørgensen, Erik B. Dam, Martin Lillholm
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	J	`jnl`	Automatic analysis of trabecular bone structure from knee MRI. Comput. Biol. Medicine Joselene Marques, Rabia Granlund, Martin Lillholm, Paola Pettersen, Erik B. Dam
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	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
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`	Single gaze gestures. ETRA Emilie Møllenbach, Martin Lillholm, Alastair G. Gale, John Paulin Hansen
2010	J	`jnl`	Symmetry Sensitivities of Derivative-of-Gaussian Filters. IEEE Trans. Pattern Anal. Mach. Intell. Lewis D. Griffin, Martin Lillholm
2009	—	`conf`	Basic Image Features (BIFs) Arising from Approximate Symmetry Type. SSVM Lewis D. Griffin, Martin Lillholm, Michael Crosier, Justus van Sande
2009	—	`conf`	Single stroke gaze gestures. CHI Extended Abstracts Emilie Møllenbach, John Paulin Hansen, Martin Lillholm, Alastair G. Gale
2009	J	`jnl`	Statistics and category systems for the shape index descriptor of local 2nd order natural image structure. Image Vis. Comput. Martin Lillholm, Lewis D. Griffin
2008	B	`conf`	Novel image feature alphabets for object recognition. ICPR Martin Lillholm, Lewis D. Griffin
2007	—	`conf`	Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise. Human Vision and Electronic Imaging Lewis D. Griffin, Martin Lillholm
2007	—	`conf`	Maximum Likelihood Metameres for Local 2 SSVM Martin Lillholm, Lewis D. Griffin
2006	J	`jnl`	Hypotheses for Image Features, Icons and Textons. Int. J. Comput. Vis. Lewis D. Griffin, Martin Lillholm
2005	—	`conf`	Image Features and the 1-D, 2 Scale-Space Lewis D. Griffin, Martin Lillholm
2005	—	`conf`	On Image Reconstruction from Multiscale Top Points. Scale-Space Frans Kanters, Martin Lillholm, Remco Duits, Bart J. Janssen, Bram Platel, Luc Florack, Bart M. ter Haar Romeny
2004	—	`conf`	Jet Based Feature Classification. ICPR (2) Martin Lillholm, Kim Steenstrup Pedersen
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`	Mode Estimation Using Pessimistic Scale Space Tracking. Scale-Space Lewis D. Griffin, Martin Lillholm
2003	—	`ed.`	Scale Space Methods in Computer Vision, 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings Scale-Space Lewis D. Griffin, Martin Lillholm
2001	—	`conf`	What Do Features Tell about Images? Scale-Space Mads Nielsen, Martin Lillholm