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Leandro A. Loss, Ph.D. - Publications

Affiliations: 
2009 Computer Science University of Nevada, Reno, Reno, NV, United States 
Area:
Computer Science
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12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Chang H, Han J, Borowsky A, Loss L, Gray JW, Spellman PT, Parvin B. Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association. Ieee Transactions On Medical Imaging. 32: 670-82. PMID 23221815 DOI: 10.1109/Tmi.2012.2231420  0.415
2012 Loss LA, Bebis G, Chang H, Auer M, Sarkar P, Parvin B. Automatic Segmentation and Quantification of Filamentous Structures in Electron Tomography. Acm-Bcb ... ... : the ... Acm Conference On Bioinformatics, Computational Biology and Biomedicine. Acm Conference On Bioinformatics, Computational Biology and Biomedicine. 2012: 170-177. PMID 28090597 DOI: 10.1145/2382936.2382958  0.589
2012 Loss LA, Bebis G, Chang H, Auer M, Sarkar P, Parvin B. Automatic segmentation and quantification of filamentous structures in electron tomography 2012 Acm Conference On Bioinformatics, Computational Biology and Biomedicine, Bcb 2012. 170-177. DOI: 10.1145/2382936.2382958  0.59
2012 Loss LA, Chang H, Sarkar P, Auer M, Parvin B. Detection of 3D filamentous networks from tomographic electron microscopy Proceedings - International Symposium On Biomedical Imaging. 1385-1388. DOI: 10.1109/ISBI.2012.6235826  0.398
2011 Loss LA, Bebis G, Parvin B. Iterative tensor voting for perceptual grouping of ill-defined curvilinear structures. Ieee Transactions On Medical Imaging. 30: 1503-13. PMID 21421432 DOI: 10.1109/Tmi.2011.2129526  0.586
2009 Loss LA, Bebis G, Parvin B. Tunable tensor voting for regularizing punctate patterns of membrane-bound protein signals Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 1378-1381. DOI: 10.1109/ISBI.2009.5193322  0.53
2009 Loss LA, Bebis G, Parvin B. Tunable tensor voting improves grouping of membrane-bound macromolecules 2009 Ieee Conference On Computer Vision and Pattern Recognition, Cvpr 2009. 72-78. DOI: 10.1109/CVPR.2009.5204047  0.569
2009 Loss L, Bebis G, Nicolescu M, Skurikhin A. An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds Computer Vision and Image Understanding. 113: 126-149. DOI: 10.1016/J.Cviu.2008.07.011  0.643
2008 Loss LA, Bebis G, Nicolescu M, Skurikhin A. Investigating how and when perceptual organization cues improve boundary detection in natural images 2008 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops. DOI: 10.1109/CVPRW.2008.4562974  0.578
2008 Scalzo F, Bebis G, Nicolescu M, Loss L, Tavakkoli A. Feature fusion hierarchies for gender classification Proceedings - International Conference On Pattern Recognition.  0.519
2007 Loss LA, Bebis G, Nicolescu M, Skurikhin A. An automatic framework for figure-ground segmentation in cluttered backgrounds Bmvc 2007 - Proceedings of the British Machine Vision Conference 2007. DOI: 10.5244/C.21.32  0.604
2006 Loss L, Bebis G, Nicolescu M, Skourikhine A. Perceptual grouping based on iterative multi-scale tensor voting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4292: 870-881.  0.604
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