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Leandro A. Loss
Leandro A. Loss
Senior Research Scientist, Here.com (Nokia Maps)
Verified email at nokia.com
Title
Cited by
Cited by
Year
Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association
H Chang, J Han, A Borowsky, L Loss, JW Gray, PT Spellman, B Parvin
IEEE transactions on medical imaging 32 (4), 670-682, 2012
1182012
Nuclear segmentation in H&E sections via multi-reference graph cut (MRGC)
H Chang, LA Loss, B Parvin
International symposium biomedical imaging, 2012
662012
Methods, apparatuses and computer program products for three dimensional segmentation and textured modeling of photogrammetry surface meshes
LA Loss
US Patent 9,613,388, 2017
522017
An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds
L Loss, G Bebis, M Nicolescu, A Skurikhin
Computer Vision and Image Understanding 113 (1), 126-149, 2009
472009
Prediction of epigenetically regulated genes in breast cancer cell lines
LA Loss, A Sadanandam, S Durinck, S Nautiyal, D Flaucher, VEH Carlton, ...
BMC bioinformatics 11, 1-14, 2010
462010
Iterative tensor voting for perceptual grouping of ill-defined curvilinear structures
LA Loss, G Bebis, B Parvin
IEEE Transactions on Medical Imaging 30 (8), 1503-1513, 2011
422011
Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme
J Han, H Chang, L Loss, K Zhang, FL Baehner, JW Gray, P Spellman, ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
402011
Feature fusion hierarchies for gender classification
F Scalzo, G Bebis, M Nicolescu, L Loss, A Tavakkoli
2008 19th International Conference on Pattern Recognition, 1-4, 2008
312008
Batch-invariant nuclear segmentation in whole mount histology sections
H Chang, LA Loss, PT Spellman, A Borowsky, B Parvin
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 856-859, 2012
162012
Methods, apparatuses and computer program products for automatic, non-parametric, non-iterative three dimensional geographic modeling
LA Loss
US Patent 9,600,607, 2017
132017
Automatic segmentation and quantification of filamentous structures in electron tomography
LA Loss, G Bebis, H Chang, M Auer, P Sarkar, B Parvin
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
112012
Perceptual grouping based on iterative multi-scale tensor voting
L Loss, G Bebis, M Nicolescu, A Skourikhine
Advances in Visual Computing: Second International Symposium, ISVC 2006 Lake …, 2006
92006
Structure model segmentation from a three dimensional surface
LA Loss
US Patent 10,089,418, 2018
82018
An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds.
LA Loss, G Bebis, M Nicolescu, AN Skurikhin
BMVC, 1-10, 2007
52007
Tunable tensor voting for regularizing punctate patterns of membrane-bound protein signals
LA Loss, G Bebis, B Parvin
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
32009
Tunable tensor voting improves grouping of membrane-bound macromolecules
LA Loss, G Bebis, B Parvin
2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009
32009
Discriminação de contornos de formas naturais através de decomposições espectrais
LA Loss, CL Tozzi
VI Simpósio Brasileiro de Automaçao Inteligente, 266-271, 2003
32003
Investigating how and when perceptual organization cues improve boundary detection in natural images
LA Loss, G Bebis, M Nicolescu, A Skurikhin
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
22008
Evolutionary Learning of Feature Fusion Hierarchies
F Scalzo, G Bebis, M Nicolescu, L Loss
IEEE ICPR2008, Dec, 1-4, 2008
22008
Discrimination of natural contours by means of time-scale-frequency decompositions
LA Loss, CL Tozzi
International Symposium on Visual Computing, 684-689, 2005
22005
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Articles 1–20