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2020 – today
- 2024
[i10]Lovro Sindicic, Ivica Kopriva:
Multilayer Graph Approach to Deep Subspace Clustering. CoRR abs/2401.17033 (2024)- [i9]Ivica Kopriva:
Robust Kernel Sparse Subspace Clustering. CoRR abs/2401.17035 (2024) - [i8]Ivica Kopriva, Damir Sersic:
Subspace Clustering in Wavelet Packets Domain. CoRR abs/2406.03819 (2024) - 2022
- [i7]Dario Sitnik, Ivica Kopriva:
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver. CoRR abs/2203.03636 (2022) - [i6]Dario Sitnik, Ivica Kopriva:
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections. CoRR abs/2204.06955 (2022) - 2021
- [j20]Dario Sitnik
, Gorana Aralica, Mirko Hadzija, Marijana Popovic Hadzija, Arijana Pacic, Marija Milkovic Perisa, Luka Manojlovic, Karolina Krstanac, Andrija Plavetic, Ivica Kopriva:
A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver. Biomed. Signal Process. Control. 66: 102402 (2021) - [c32]Ivica Kopriva, Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija:
Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens. Medical Imaging: Digital Pathology 2021 - 2020
- [j19]Maria Brbic, Ivica Kopriva:
ℓ0-Motivated Low-Rank Sparse Subspace Clustering. IEEE Trans. Cybern. 50(4): 1711-1725 (2020) - [c31]Long Tian, Qian Du, Ivica Kopriva:
L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery. IGARSS 2020: 1038-1041 - [c30]Dario Sitnik, Ivica Kopriva, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija:
Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens. Medical Imaging: Digital Pathology 2020: 113200A - [c29]Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija, Ivica Kopriva:
Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens. Medical Imaging: Digital Pathology 2020: 1132009 - [c28]Ivica Kopriva, Fei Shi, Marija Stanfel, Xinjian Chen:
Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images. Medical Imaging: Image Processing 2020: 113132H - [i5]Dario Sitnik, Ivica Kopriva:
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification. CoRR abs/2004.03375 (2020) - [i4]Ivica Kopriva, Fei Shi, Mingying Lai, Marija Stanfel, Haoyu Chen, Xinjian Chen:
Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images. CoRR abs/2008.11414 (2020)
2010 – 2019
- 2019
- [c27]Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan:
Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering. IGARSS 2019: 795-798 - [c26]Ivica Kopriva, Gorana Aralica, Marijana Popovic Hadzija, Mirko Hadzija, Laura-Isabelle Dion-Bertrand, Xinjian Chen:
Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver. Medical Imaging: Digital Pathology 2019: 109560S - 2018
- [j18]Maria Brbic, Ivica Kopriva:
Multi-view low-rank sparse subspace clustering. Pattern Recognit. 73: 247-258 (2018) - [j17]Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva:
A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. Pattern Recognit. 82: 40-55 (2018) - [c25]Ivica Kopriva:
Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures. LVA/ICA 2018: 107-115 - [c24]Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan:
Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery. IGARSS 2018: 8488-8491 - [c23]Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan:
Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery. WHISPERS 2018: 1-4 - [i3]Maria Brbic, Ivica Kopriva:
𝓁0-Motivated Low-Rank Sparse Subspace Clustering. CoRR abs/1812.06580 (2018) - 2017
- [j16]Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen:
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. IEEE J. Biomed. Health Informatics 21(6): 1656-1666 (2017) - [c22]Long Tian, Qian Du, Nicolas H. Younan, Ivica Kopriva:
Tensor-based offset-sparsity decomposition for hyperspectral image classification. IGARSS 2017: 3656-3659 - [c21]Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen:
Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. Medical Imaging: Digital Pathology 2017: 1014003 - [i2]Maria Brbic, Ivica Kopriva:
Multi-view Low-rank Sparse Subspace Clustering. CoRR abs/1708.08732 (2017) - [i1]Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva:
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. CoRR abs/1709.10323 (2017) - 2016
- [j15]Wei Ju, Dehui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen:
Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images". IEEE Trans. Image Process. 25(3): 1192 (2016) - [c20]Long Tian, Qian Du, Nicolas H. Younan, Ivica Kopriva:
Multispectral image enhancement with extended offset-sparsity decomposition. IGARSS 2016: 4383-4386 - [c19]Ivica Kopriva, Marijana Popovic Hadzija, Mirko Hadzija, Gorana Aralica:
Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results. Medical Imaging: Digital Pathology 2016: 97910P - 2015
- [j14]Wei Ju, Deihui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen:
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. IEEE Trans. Image Process. 24(12): 5854-5867 (2015) - [c18]Ivica Kopriva:
A Nonlinear Mixture Model based Unsupervised Variable Selection in Genomics and Proteomics. BIOINFORMATICS 2015: 85-92 - [c17]Ivica Kopriva, Sanja Kapitanovic, Tamara Cacev:
Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics. LVA/ICA 2015: 168-175 - [c16]Ivica Kopriva, Danielle Nuzillard:
A steerable filter bank approach to endmembers estimation in imaging spectroscopy. IGARSS 2015: 1773-1776 - 2014
- [c15]Ivica Kopriva, Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon:
Error Analysis of low-rank three-way tensor factorization approach to blind source separation. ICASSP 2014: 3186-3190 - 2013
- [j13]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomed. Signal Process. Control. 8(6): 755-763 (2013) - [c14]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. EUSIPCO 2013: 1-5 - [c13]Ivica Kopriva, Ante Jukic, Xinjian Chen:
Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain. Medical Imaging: Image Processing 2013: 866938 - 2012
- [c12]Marko Filipovic, Ivica Kopriva, Andrzej Cichocki:
Inpainting color images in learned dictionary. EUSIPCO 2012: 66-70 - 2011
- [j12]Ivica Kopriva, Marko Filipovic:
A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels. BMC Bioinform. 12: 496 (2011) - [c11]Ivica Kopriva, Qian Du:
Tensor factorization and continous wavelet transform for model-free single-frame blind image deconvolution. ISPA 2011: 529-533 - [c10]Ivica Kopriva, Xinjian Chen, Jianhua Yao:
Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image. Medical Imaging: Image Processing 2011: 79623A - 2010
- [c9]Ivica Kopriva, Andrzej Cichocki:
Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. LVA/ICA 2010: 490-497 - [c8]Ivica Kopriva, Antun Persin:
3D tensor-based blind multispectral image decomposition for tumor demarcation. Medical Imaging: Image Processing 2010: 76231W
2000 – 2009
- 2009
- [j11]Qian Du, Ivica Kopriva:
Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. Neurocomputing 72(10-12): 2682-2692 (2009) - [j10]Ivica Kopriva, Antun Persin:
Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation. Medical Image Anal. 13(3): 507-518 (2009) - [j9]Wasyl Wasylkiwskyj, Ivica Kopriva:
Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms. Signal Process. 89(6): 1050-1060 (2009) - [c7]Ivica Kopriva, Antun Persin, Neira Puizina-Ivic, Lina Miric:
Dependent component analysis based approach to robust demarcation of skin tumors. Medical Imaging: Image Processing 2009: 72594Q - 2008
- [j8]Ivica Kopriva, Damir Sersic:
Wavelet packets approach to blind separation of statistically dependent sources. Neurocomputing 71(7-9): 1642-1655 (2008) - [j7]Qian Du, Ivica Kopriva:
Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization. IEEE Geosci. Remote. Sens. Lett. 5(1): 38-42 (2008) - 2007
- [c6]Ivica Kopriva:
Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources. ICA 2007: 504-511 - [c5]Ivica Kopriva, Damir Sersic:
Robust Blind Separation of Statistically Dependent Sources using Dual Tree Wavelets. ICIP (1) 2007: 433-436 - 2006
- [b1]Te Ming Huang, Vojislav Kecman, Ivica Kopriva:
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Studies in Computational Intelligence 17, Springer 2006, ISBN 978-3-540-31681-7 - [c4]Ivica Kopriva, Danielle Nuzillard:
Non-negative Matrix Factorization Approach to Blind Image Deconvolution. ICA 2006: 966-973 - 2005
- [j6]Harold Szu, Ivica Kopriva:
Unsupervised learning with stochastic gradient. Neurocomputing 68: 130-160 (2005) - [c3]Qian Du, Ivica Kopriva, Harold Szu:
Investigation on constrained matrix factorization for hyperspectral image analysis. IGARSS 2005: 4304-4306 - 2004
- [j5]Qian Du, Ivica Kopriva, Harold Szu:
Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation. Int. J. Inf. Acquis. 1(3): 201-216 (2004) - [c2]Ivica Kopriva, Harold Szu:
Space-Time Variant Blind Source Separation with Additive Noise. ICA 2004: 240-247 - 2002
- [j4]Harold Szu, Pornchai Chanyagorn, Ivica Kopriva:
Sparse coding blind source separation through Powerl. Neurocomputing 48(1-4): 1015-1020 (2002)
1990 – 1999
- 1999
- [j3]Kresimir Cosic, Ivica Kopriva, Todor Kostic, Miroslav Slamic, Marijo Volarevic:
Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system. Simul. Pract. Theory 7(2): 107-123 (1999) - 1998
- [c1]Ivica Kopriva:
Adaptive blind separation of convolved sources based on minimization of the generalized instantaneous energy. EUSIPCO 1998: 1-4 - 1997
- [j2]Kresimir Cosic, Ivica Kopriva, Tomislav Sikic:
A methodology for digital real time simulation of dynamic systems using modern DSPs. Simul. Pract. Theory 5(2): 137-151 (1997) - 1992
- [j1]Kresimir Cosic, Ivica Kopriva, I. Miler:
Workstation for integrated system design and development. Simul. 58(3): 152-162 (1992)
Coauthor Index
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last updated on 2024-07-07 00:30 CEST by the dblp team
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