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Niraj P. Doshi
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2010 – 2019
- 2017
- [c24]Gerald Schaefer, Niraj P. Doshi:
LBP vs. LBP Variance for Texture Classification. DMBD 2017: 156-164 - 2016
- [c23]Gerald Schaefer, Niraj P. Doshi:
Effective classification of HEp-2 cells using fuzzy texture descriptors. FUZZ-IEEE 2016: 1248-1252 - [c22]Gerald Schaefer, Niraj P. Doshi, Iakov Korovin
, Shao Ying Zhu:
Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning. SMC 2016: 4466-4470 - 2015
- [c21]Niraj P. Doshi, Gerald Schaefer, Shao Ying Zhu:
An Evaluation of Image Enhancement Techniques for Nailfold Capillary Skeletonisation. KES 2015: 1613-1621 - [c20]Niraj P. Doshi, Gerald Schaefer, Shao Ying Zhu:
An Evaluation of LBP Texture Descriptors for the Classification of HEp-2 Cells. SMC 2015: 2283-2288 - 2014
- [b1]Niraj P. Doshi:
Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. Loughborough University, UK, 2014 - [c19]Gerald Schaefer, Niraj P. Doshi, Qinghua Hu, Aboul Ella Hassanien:
Classification of HEp-2 Cell Images Using Compact Multi-Scale Texture Information and Margin Distribution Based Bagging. AMLTA 2014: 299-308 - [c18]Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima
:
Cost-sensitive texture classification. IEEE Congress on Evolutionary Computation 2014: 105-108 - [c17]Gerald Schaefer, Niraj P. Doshi, Shao Ying Zhu, Qinghua Hu:
Analysis of HEp-2 images using MD-LBP and MAD-bagging. EMBC 2014: 4248-4251 - [c16]Niraj P. Doshi, Gerald Schaefer:
Compactifying multi-dimensional LBP variance texture descriptors based on DCT and feature reduction. ICMCS 2014: 480-484 - 2013
- [c15]Niraj P. Doshi, Gerald Schaefer:
Automatic Classification of HEp-2 Cells Using Multi-dimensional Local Binary Patterns. ACPR 2013: 293-297 - [c14]Niraj P. Doshi, Gerald Schaefer:
Texture Classification Using Multi-dimensional LBP Variance. ACPR 2013: 672-676 - [c13]Gerald Schaefer, Niraj P. Doshi, Bartosz Krawczyk:
HEp-2 Cell Classification Using Multi-dimensional Local Binary Patterns and Ensemble Classification. ACPR 2013: 951-955 - [c12]Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Arcangelo Merla:
Scleroderma capillary pattern identification using texture descriptors and ensemble classification. EMBC 2013: 5473-5476 - [c11]Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi:
Improved LBP texture classification using ensemble learning. ICME 2013: 1-6 - [c10]Niraj P. Doshi, Gerald Schaefer:
Compact Multi-dimensional LBP Features for Improved Texture Retrieval. RVSP 2013: 51-55 - [c9]Niraj P. Doshi, Gerald Schaefer:
HEp-2 Cell Classification Using Multi-scale Texture Information and Multiple Kernel Learning. SITIS 2013: 825-830 - [c8]Niraj P. Doshi, Gerald Schaefer, Shao Ying Zhu:
An Improved Binarisation Algorithm for Nailfold Capillary Skeleton Extraction. SMC 2013: 2565-2569 - 2012
- [c7]Niraj P. Doshi, Gerald Schaefer, Arcangelo Merla:
Enhancement of nailfold capillaroscopy images. BHI 2012: 452-455 - [c6]Niraj P. Doshi, Gerald Schaefer, Arcangelo Merla:
Nailfold capillaroscopy pattern recognition using texture analysis. BHI 2012: 491-494 - [c5]Niraj P. Doshi, Gerald Schaefer, Arcangelo Merla:
Robust Nailfold Capillary Skeleton Extraction. ICETET 2012: 19-23 - [c4]Gerald Schaefer, Niraj P. Doshi:
Multi-dimensional local binary pattern descriptors for improved texture analysis. ICPR 2012: 2500-2503 - [c3]Niraj P. Doshi, Gerald Schaefer:
A comprehensive benchmark of local binary pattern algorithms for texture retrieval. ICPR 2012: 2760-2763 - [c2]Niraj P. Doshi, Gerald Schaefer, Arcangelo Merla:
An evaluation of image enhancement techniques for capillary imaging. SMC 2012: 1428-1432 - [c1]Niraj P. Doshi, Gerald Schaefer:
A comparative analysis of local binary pattern texture classification. VCIP 2012: 1-6
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