Martin Lillholm

According to our database1, Martin Lillholm authored at least 29 papers between 2001 and 2016.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
IEEE Trans. Med. Imaging, 2016

Learning Density Independent Texture Features.
Proceedings of the Breast Imaging, 2016

2014
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models.
Mach. Vis. Appl., 2013

Linear feature selection in texture analysis - A PLS based method.
Mach. Vis. Appl., 2013

Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps.
Comp. in Bio. and Med., 2013

Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Cube propagation for focal brain atrophy estimation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Automatic Quantification of Tibio-Femoral Contact Area and Congruity.
IEEE Trans. Med. Imaging, 2012

Automatic analysis of trabecular bone structure from knee MRI.
Comp. in Bio. and Med., 2012

2011
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling.
IEEE Trans. Med. Imaging, 2011

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010
Symmetry Sensitivities of Derivative-of-Gaussian Filters.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A framework for optimizing measurement weight maps to minimize the required sample size.
Medical Image Analysis, 2010

Single gaze gestures.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009
Statistics and category systems for the shape index descriptor of local 2nd order natural image structure.
Image Vision Comput., 2009

Basic Image Features (BIFs) Arising from Approximate Symmetry Type.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Single stroke gaze gestures.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008
Novel image feature alphabets for object recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

2006
Hypotheses for Image Features, Icons and Textons.
International Journal of Computer Vision, 2006

2005
On Image Reconstruction from Multiscale Top Points.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Image Features and the 1-D, 2nd Order Gaussian Derivative Jet.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

2004
Jet Based Feature Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Feature-Based Image Analysis.
International Journal of Computer Vision, 2003

Gaussian Scale Space from Insufficient Image Information.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Mode Estimation Using Pessimistic Scale Space Tracking.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2001
What Do Features Tell about Images?
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001


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