Computer Vision, Graphics, and Image Processing
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Suyash P. Awate | Jayanthi Sivaswamy | Santanu Chaudhury | Srirangaraj Setlur | Snehasis Mukherjee | Anoop M. Namboodiri | Dipti Prasad Mukherjee | Suvadip Mukherjee | D. Mukherjee | S. Chaudhury | A. Namboodiri | J. Sivaswamy | S. Setlur | Snehasis Mukherjee | Suvadip Mukherjee | S. Awate
[1] Shaswati Roy,et al. Rough-Fuzzy Clustering and Unsupervised Feature Selection for Wavelet Based MR Image Segmentation , 2015, PloS one.
[2] Shusaku Tsumoto,et al. Segmentation of Medical Images Based on Approximations in Rough Set Theory , 2002, Rough Sets and Current Trends in Computing.
[3] Govind B Chavhan. MRI Made Easy , 2007 .
[4] D. Khosla,et al. Concurrent therapy to enhance radiotherapeutic outcomes in glioblastoma. , 2016, Annals of translational medicine.
[5] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[6] Katarzyna Krupa,et al. Artifacts in Magnetic Resonance Imaging , 2015, Polish journal of radiology.
[7] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Chang Wang,et al. Heterogeneous Domain Adaptation Using Manifold Alignment , 2011, IJCAI.
[9] Michael Kistler,et al. The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration , 2013, Journal of medical Internet research.
[10] Nelly Gordillo,et al. State of the art survey on MRI brain tumor segmentation. , 2013, Magnetic resonance imaging.
[11] Bostjan Likar,et al. A Review of Methods for Correction of Intensity Inhomogeneity in MRI , 2007, IEEE Transactions on Medical Imaging.
[12] A Horsman,et al. Tumour volume determination from MR images by morphological segmentation , 1996, Physics in medicine and biology.
[13] Yongkang Wong,et al. Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition , 2011, CVPR 2011 WORKSHOPS.
[14] James C. Bezdek,et al. A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain , 1992, IEEE Trans. Neural Networks.
[15] Ron Kikinis,et al. MRI brain tumor segmentation and necrosis detection using adaptive Sobolev snakes , 2014, Medical Imaging.
[16] Hua Li,et al. Efficient logo recognition by local feature groups , 2016, Multimedia Systems.
[17] Motoaki Kawanabe,et al. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation , 2007, NIPS.
[18] Sukhendu Das,et al. Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks , 2015, IET Image Process..
[19] Gregory G. Brown,et al. Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location , 2006, Human brain mapping.
[20] Sukhendu Das,et al. Face Recognition on Low Quality Surveillance Images, by Compensating Degradation , 2011, ICIAR.
[21] Brian B. Avants,et al. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) , 2015, IEEE Transactions on Medical Imaging.
[22] Ewald Moser,et al. Improved delineation of brain tumors: an automated method for segmentation based on pathologic changes of 1H-MRSI metabolites in gliomas , 2004, NeuroImage.
[23] R. Kikinis,et al. Automated segmentation of MR images of brain tumors. , 2001, Radiology.
[24] Hong Yan,et al. Coupled Kernel Embedding for Low-Resolution Face Image Recognition , 2012, IEEE Transactions on Image Processing.
[25] Ivor W. Tsang,et al. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Soft Margin Multiple Kernel Learning , 2022 .
[26] S.M. Krishnan,et al. Extraction of Brain Tumor from MR Images Using One-Class Support Vector Machine , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[27] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[28] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[29] Biao Wang,et al. Illumination Normalization Based on Weber's Law With Application to Face Recognition , 2011, IEEE Signal Processing Letters.
[30] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Meritxell Bach Cuadra,et al. A review of atlas-based segmentation for magnetic resonance brain images , 2011, Comput. Methods Programs Biomed..
[32] Rama Chellappa,et al. Multiple Kernel Learning for Sparse Representation-Based Classification , 2014, IEEE Transactions on Image Processing.