Workstation for integrated system design and development. - Kresimir Cosic; Ivica Kopriva; I. Miler (Simul., 1992)

A methodology for digital real time simulation of dynamic systems using modern DSPs. - Kresimir Cosic; Ivica Kopriva; Tomislav Sikic (Simul. Pract. Theory, 1997)

Adaptive blind separation of convolved sources based on minimization of the generalized instantaneous energy. - Ivica Kopriva (EUSIPCO, 1998)

Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system. - Kresimir Cosic; Ivica Kopriva; Todor Kostic; Miroslav Slamic; Marijo Volarevic (Simul. Pract. Theory, 1999)

Sparse coding blind source separation through Powerl. - Harold Szu; Pornchai Chanyagorn; Ivica Kopriva (Neurocomputing, 2002)

Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline network. - Pornchai Chanyagorn; Harold H. Szu; Ivica Kopriva (IJCNN, 2003)

Cauchy machine for blind inversion in linear space-variant imaging. - Harold Szu; Ivica Kopriva (IJCNN, 2003)

Space-Time Variant Blind Source Separation with Additive Noise. - Ivica Kopriva; Harold Szu (ICA, 2004)

Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation. - Qian Du 001; Ivica Kopriva; Harold Szu (Int. J. Inf. Acquis., 2004)

Investigation on constrained matrix factorization for hyperspectral image analysis. - Qian Du 001; Ivica Kopriva; Harold Szu (IGARSS, 2005)

Unsupervised learning with stochastic gradient. - Harold Szu; Ivica Kopriva (Neurocomputing, 2005)

Non-negative Matrix Factorization Approach to Blind Image Deconvolution. - Ivica Kopriva; Danielle Nuzillard (ICA, 2006)

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. - Te Ming Huang; Vojislav Kecman; Ivica Kopriva (Springer, 2006)

Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources. - Ivica Kopriva (ICA, 2007)

Robust Blind Separation of Statistically Dependent Sources using Dual Tree Wavelets. - Ivica Kopriva; Damir Sersic (ICIP (1), 2007)

Wavelet packets approach to blind separation of statistically dependent sources. - Ivica Kopriva; Damir Sersic (Neurocomputing, 2008)

Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization. - Qian Du 001; Ivica Kopriva (IEEE Geosci. Remote. Sens. Lett., 2008)

Dependent component analysis based approach to robust demarcation of skin tumors. - Ivica Kopriva; Antun Persin; Neira Puizina-Ivic; Lina Miric (Image Processing, 2009)

Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. - Qian Du 001; Ivica Kopriva (Neurocomputing, 2009)

Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation. - Ivica Kopriva; Antun Persin (Medical Image Anal., 2009)

Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms. - Wasyl Wasylkiwskyj; Ivica Kopriva (Signal Process., 2009)

Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. - Ivica Kopriva; Andrzej Cichocki (LVA/ICA, 2010)

3D tensor-based blind multispectral image decomposition for tumor demarcation. - Ivica Kopriva; Antun Persin (Image Processing, 2010)

Tensor factorization and continous wavelet transform for model-free single-frame blind image deconvolution. - Ivica Kopriva; Qian Du 001 (ISPA, 2011)

Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image. - Ivica Kopriva; Xinjian Chen 001; Jianhua Yao 001 (Image Processing, 2011)

A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels. - Ivica Kopriva; Marko Filipovic (BMC Bioinform., 2011)

Inpainting color images in learned dictionary. - Marko Filipovic; Ivica Kopriva; Andrzej Cichocki (EUSIPCO, 2012)

Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. - Ante Jukic; Ivica Kopriva; Andrzej Cichocki (EUSIPCO, 2013)

Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain. - Ivica Kopriva; Ante Jukic; Xinjian Chen 001 (Image Processing, 2013)

Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. - Ante Jukic; Ivica Kopriva; Andrzej Cichocki (Biomed. Signal Process. Control., 2013)

Error Analysis of low-rank three-way tensor factorization approach to blind source separation. - Ivica Kopriva; Jean-Philip Royer; Nadège Thirion-Moreau; Pierre Comon (ICASSP, 2014)

A Nonlinear Mixture Model based Unsupervised Variable Selection in Genomics and Proteomics. - Ivica Kopriva (BIOINFORMATICS, 2015)

Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics. - Ivica Kopriva; Sanja Kapitanovic; Tamara Cacev (LVA/ICA, 2015)

A steerable filter bank approach to endmembers estimation in imaging spectroscopy. - Ivica Kopriva; Danielle Nuzillard (IGARSS, 2015)

Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. - Wei Ju 002; Deihui Xiang; Bin Zhang 049; Lirong Wang; Ivica Kopriva; Xinjian Chen 001 (IEEE Trans. Image Process., 2015)

Multispectral image enhancement with extended offset-sparsity decomposition. - Long Tian; Qian Du 001; Nicolas H. Younan; Ivica Kopriva (IGARSS, 2016)

Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results. - Ivica Kopriva; Marijana Popovic Hadzija; Mirko Hadzija; Gorana Aralica (Digital Pathology, 2016)

Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images". - Wei Ju 002; Dehui Xiang; Bin Zhang 049; Lirong Wang; Ivica Kopriva; Xinjian Chen 001 (IEEE Trans. Image Process., 2016)

Tensor-based offset-sparsity decomposition for hyperspectral image classification. - Long Tian; Qian Du 001; Nicolas H. Younan; Ivica Kopriva (IGARSS, 2017)

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. - Ivica Kopriva; Maria Brbic; Dijana Tolic; Nino Antulov-Fantulin; Xinjian Chen 001 (Digital Pathology, 2017)

Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. - Ivica Kopriva; Wei Ju 002; Bin Zhang 049; Fei Shi; Dehui Xiang; Kai Yu 009; Ximing Wang; Ulas Bagci; Xinjian Chen 001 (IEEE J. Biomed. Health Informatics, 2017)

Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures. - Ivica Kopriva (LVA/ICA, 2018)

Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery. - Long Tian; Qian Du 001; Ivica Kopriva; Nicolas H. Younan (IGARSS, 2018)

Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery. - Long Tian; Qian Du 001; Ivica Kopriva; Nicolas H. Younan (WHISPERS, 2018)

Multi-view low-rank sparse subspace clustering. - Maria Brbic; Ivica Kopriva (Pattern Recognit., 2018)

A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. - Dijana Tolic; Nino Antulov-Fantulin; Ivica Kopriva (Pattern Recognit., 2018)

Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering. - Long Tian; Qian Du 001; Ivica Kopriva; Nicolas H. Younan (IGARSS, 2019)

Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver. - Ivica Kopriva; Gorana Aralica; Marijana Popovic Hadzija; Mirko Hadzija; Laura-Isabelle Dion-Bertrand; Xinjian Chen 001 (Digital Pathology, 2019)

L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery. - Long Tian; Qian Du 001; Ivica Kopriva (IGARSS, 2020)

Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens. - Dario Sitnik; Gorana Aralica; Arijana Pacic; Marijana Popovic Hadzija; Mirko Hadzija; Ivica Kopriva (Digital Pathology, 2020)

Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens. - Dario Sitnik; Ivica Kopriva; Gorana Aralica; Arijana Pacic; Marijana Popovic Hadzija; Mirko Hadzija (Digital Pathology, 2020)

Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images. - Ivica Kopriva; Fei Shi; Marija Stanfel; Xinjian Chen 001 (Image Processing, 2020)

Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification. - Dario Sitnik; Ivica Kopriva (CoRR, 2020)

Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images. - Ivica Kopriva; Fei Shi; Mingying Lai; Marija Stanfel; Haoyu Chen 002; Xinjian Chen 001 (CoRR, 2020)

ℓ0-Motivated Low-Rank Sparse Subspace Clustering. - Maria Brbic; Ivica Kopriva (IEEE Trans. Cybern., 2020)

Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens. - Ivica Kopriva; Dario Sitnik; Gorana Aralica; Arijana Pacic; Marijana Popovic Hadzija; Mirko Hadzija (Digital Pathology, 2021)

A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver. - Dario Sitnik; Gorana Aralica; Mirko Hadzija; Marijana Popovic Hadzija; Arijana Pacic; Marija Milkovic Perisa; Luka Manojlovic; Karolina Krstanac; Andrija Plavetic; Ivica Kopriva (Biomed. Signal Process. Control., 2021)

Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver. - Dario Sitnik; Ivica Kopriva (CoRR, 2022)

LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections. - Dario Sitnik; Ivica Kopriva (CoRR, 2022)

Multilayer Graph Approach to Deep Subspace Clustering. - Lovro Sindicic; Ivica Kopriva (CoRR, 2024)

Subspace Clustering in Wavelet Packets Domain. - Ivica Kopriva; Damir Sersic (CoRR, 2024)

A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver. - Ivica Kopriva; Dario Sitnik; Laura-Isabelle Dion-Bertrand; Marija Milkovic Perisa; Mirko Hadzija; Marijana Popovic Hadzija (CoRR, 2024)

Interpretable label-free self-guided subspace clustering. - Ivica Kopriva (CoRR, 2024)

Robust Kernel Sparse Subspace Clustering. - Ivica Kopriva (ICASSP, 2025)

A hyperspectral imaging dataset and Grassmann manifold method for intraoperative pixel-wise classification of metastatic colon cancer in the liver. - Ivica Kopriva; Dario Sitnik; Laura-Isabelle Dion-Bertrand; Marija Milkovic Perisa; Arijana Pacic; Mirko Hadzija; Marijana Popovic Hadzija (Comput. Biol. Medicine, 2025)

Data-Adaptive Low-Rank Sparse Subspace Clustering. - Ivica Kopriva (CoRR, 2025)

Label-independent hyperparameter-free self-supervised single-view deep subspace clustering. - Lovro Sindicic; Ivica Kopriva (CoRR, 2025)