| 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 | 117 | 2012 |
| Nuclear segmentation in H&E sections via multi-reference graph cut (MRGC) H Chang, LA Loss, B Parvin International symposium biomedical imaging, 2012 | 65 | 2012 |
| 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 | 54 | 2017 |
| 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 | 47 | 2009 |
| 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 | 46 | 2010 |
| 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 | 42 | 2011 |
| 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 | 39 | 2011 |
| 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 | 30 | 2008 |
| 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 | 16 | 2012 |
| Methods, apparatuses and computer program products for automatic, non-parametric, non-iterative three dimensional geographic modeling LA Loss US Patent 9,600,607, 2017 | 13 | 2017 |
| 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 | 11 | 2012 |
| 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 | 9 | 2006 |
| Structure model segmentation from a three dimensional surface LA Loss US Patent 10,089,418, 2018 | 8 | 2018 |
| An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds. LA Loss, G Bebis, M Nicolescu, AN Skurikhin BMVC, 1-10, 2007 | 5 | 2007 |
| 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 | 3 | 2009 |
| 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 | 3 | 2009 |
| Discriminação de contornos de formas naturais através de decomposições espectrais LA Loss, CL Tozzi VI Simpósio Brasileiro de Automaçao Inteligente, 266-271, 2003 | 3 | 2003 |
| 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 | 2 | 2008 |
| Evolutionary Learning of Feature Fusion Hierarchies F Scalzo, G Bebis, M Nicolescu, L Loss IEEE ICPR2008, Dec, 1-4, 2008 | 2 | 2008 |
| Discrimination of natural contours by means of time-scale-frequency decompositions LA Loss, CL Tozzi International Symposium on Visual Computing, 684-689, 2005 | 2 | 2005 |
Bahram ParvinProfessor of Bioengineering, Cell and Molecular Biology, University of Nevada, RenoVerified email at unr.edu
