Ivica Kopriva - RankMe

72 papers B 7C 8Misc 2Journal 36Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pseudo labels approach to interpretable self-guided subspace clustering. Pattern Recognit. Ivica Kopriva
2025	J	`jnl`	A hyperspectral imaging dataset and Grassmann manifold method for intraoperative pixel-wise classification of metastatic colon cancer in the liver. Comput. Biol. Medicine Ivica Kopriva, Dario Sitnik, Laura-Isabelle Dion-Bertrand, Marija Milkovic Perisa, Arijana Pacic, Mirko Hadzija, Marijana Popovic Hadzija
2025	J	`jnl`	Data-Adaptive Low-Rank Sparse Subspace Clustering. CoRR Ivica Kopriva
2025	J	`jnl`	Label-independent hyperparameter-free self-supervised single-view deep subspace clustering. CoRR Lovro Sindicic, Ivica Kopriva
2025	Misc	`conf`	Robust Kernel Sparse Subspace Clustering. ICASSP Ivica Kopriva
2024	J	`jnl`	A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver. CoRR Ivica Kopriva, Dario Sitnik, Laura-Isabelle Dion-Bertrand, Marija Milkovic Perisa, Mirko Hadzija, Marijana Popovic Hadzija
2024	J	`jnl`	Interpretable label-free self-guided subspace clustering. CoRR Ivica Kopriva
2024	J	`jnl`	Multilayer Graph Approach to Deep Subspace Clustering. CoRR Lovro Sindicic, Ivica Kopriva
2024	J	`jnl`	Robust Kernel Sparse Subspace Clustering. CoRR Ivica Kopriva
2024	J	`jnl`	Subspace Clustering in Wavelet Packets Domain. CoRR Ivica Kopriva, Damir Sersic
2022	J	`jnl`	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 Dario Sitnik, Ivica Kopriva
2022	J	`jnl`	LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections. CoRR Dario Sitnik, Ivica Kopriva
2021	J	`jnl`	A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver. Biomed. Signal Process. Control. Dario Sitnik, Gorana Aralica, Mirko Hadzija, Marijana Popovic Hadzija, Arijana Pacic, Marija Milkovic Perisa, Luka Manojlovic, Karolina Krstanac, Andrija Plavetic, Ivica Kopriva
2021	—	`conf`	Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens. Digital Pathology Ivica Kopriva, Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija
2020	—	`conf`	Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens. Digital Pathology Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija, Ivica Kopriva
2020	B	`conf`	Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images. Image Processing Ivica Kopriva, Fei Shi, Marija Stanfel, Xinjian Chen
2020	C	`conf`	L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery. IGARSS Long Tian, Qian Du, Ivica Kopriva
2020	J	`jnl`	Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images. CoRR Ivica Kopriva, Fei Shi, Mingying Lai, Marija Stanfel, Haoyu Chen, Xinjian Chen
2020	J	`jnl`	Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification. CoRR Dario Sitnik, Ivica Kopriva
2020	—	`conf`	Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens. Digital Pathology Dario Sitnik, Ivica Kopriva, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija
2020	J	`jnl`	ℓ IEEE Trans. Cybern. Maria Brbic, Ivica Kopriva
2019	—	`conf`	Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver. Digital Pathology Ivica Kopriva, Gorana Aralica, Marijana Popovic Hadzija, Mirko Hadzija, Laura-Isabelle Dion-Bertrand, Xinjian Chen
2019	C	`conf`	Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering. IGARSS Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan
2018	J	`jnl`	A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. Pattern Recognit. Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
2018	—	`conf`	Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures. LVA/ICA Ivica Kopriva
2018	—	`conf`	Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery. WHISPERS Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan
2018	J	`jnl`	Multi-view low-rank sparse subspace clustering. Pattern Recognit. Maria Brbic, Ivica Kopriva
2018	C	`conf`	Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery. IGARSS Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan
2018	J	`jnl`	𝓁 CoRR Maria Brbic, Ivica Kopriva
2017	J	`jnl`	A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. CoRR Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
2017	—	`conf`	Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. Digital Pathology Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen
2017	J	`jnl`	Multi-view Low-rank Sparse Subspace Clustering. CoRR Maria Brbic, Ivica Kopriva
2017	J	`jnl`	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 Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen
2017	C	`conf`	Tensor-based offset-sparsity decomposition for hyperspectral image classification. IGARSS Long Tian, Qian Du, Nicolas H. Younan, Ivica Kopriva
2016	J	`jnl`	Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images". IEEE Trans. Image Process. Wei Ju, Dehui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen
2016	C	`conf`	Multispectral image enhancement with extended offset-sparsity decomposition. IGARSS Long Tian, Qian Du, Nicolas H. Younan, Ivica Kopriva
2016	—	`conf`	Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results. Digital Pathology Ivica Kopriva, Marijana Popovic Hadzija, Mirko Hadzija, Gorana Aralica
2015	—	`conf`	A Nonlinear Mixture Model based Unsupervised Variable Selection in Genomics and Proteomics. BIOINFORMATICS Ivica Kopriva
2015	C	`conf`	A steerable filter bank approach to endmembers estimation in imaging spectroscopy. IGARSS Ivica Kopriva, Danielle Nuzillard
2015	—	`conf`	Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics. LVA/ICA Ivica Kopriva, Sanja Kapitanovic, Tamara Cacev
2015	J	`jnl`	Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. IEEE Trans. Image Process. Wei Ju, Deihui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen
2014	Misc	`conf`	Error Analysis of low-rank three-way tensor factorization approach to blind source separation. ICASSP Ivica Kopriva, Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon
2013	—	`conf`	Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. EUSIPCO Ante Jukic, Ivica Kopriva, Andrzej Cichocki
2013	J	`jnl`	Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomed. Signal Process. Control. Ante Jukic, Ivica Kopriva, Andrzej Cichocki
2013	B	`conf`	Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain. Image Processing Ivica Kopriva, Ante Jukic, Xinjian Chen
2012	—	`conf`	Inpainting color images in learned dictionary. EUSIPCO Marko Filipovic, Ivica Kopriva, Andrzej Cichocki
2011	J	`jnl`	A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels. BMC Bioinform. Ivica Kopriva, Marko Filipovic
2011	B	`conf`	Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image. Image Processing Ivica Kopriva, Xinjian Chen, Jianhua Yao
2011	C	`conf`	Tensor factorization and continous wavelet transform for model-free single-frame blind image deconvolution. ISPA Ivica Kopriva, Qian Du
2010	B	`conf`	3D tensor-based blind multispectral image decomposition for tumor demarcation. Image Processing Ivica Kopriva, Antun Persin
2010	—	`conf`	Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. LVA/ICA Ivica Kopriva, Andrzej Cichocki
2009	B	`conf`	Dependent component analysis based approach to robust demarcation of skin tumors. Image Processing Ivica Kopriva, Antun Persin, Neira Puizina-Ivic, Lina Miric
2009	J	`jnl`	Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. Neurocomputing Qian Du, Ivica Kopriva
2009	J	`jnl`	Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms. Signal Process. Wasyl Wasylkiwskyj, Ivica Kopriva
2009	J	`jnl`	Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation. Medical Image Anal. Ivica Kopriva, Antun Persin
2008	J	`jnl`	Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization. IEEE Geosci. Remote. Sens. Lett. Qian Du, Ivica Kopriva
2008	J	`jnl`	Wavelet packets approach to blind separation of statistically dependent sources. Neurocomputing Ivica Kopriva, Damir Sersic
2007	—	`conf`	Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources. ICA Ivica Kopriva
2007	—	`conf`	Robust Blind Separation of Statistically Dependent Sources using Dual Tree Wavelets. ICIP (1) Ivica Kopriva, Damir Sersic
2006	—	`book`	Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Te Ming Huang, Vojislav Kecman, Ivica Kopriva
2006	—	`conf`	Non-negative Matrix Factorization Approach to Blind Image Deconvolution. ICA Ivica Kopriva, Danielle Nuzillard
2005	C	`conf`	Investigation on constrained matrix factorization for hyperspectral image analysis. IGARSS Qian Du, Ivica Kopriva, Harold Szu
2005	J	`jnl`	Unsupervised learning with stochastic gradient. Neurocomputing Harold Szu, Ivica Kopriva
2004	J	`jnl`	Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation. Int. J. Inf. Acquis. Qian Du, Ivica Kopriva, Harold Szu
2004	—	`conf`	Space-Time Variant Blind Source Separation with Additive Noise. ICA Ivica Kopriva, Harold Szu
2003	B	`conf`	Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline network. IJCNN Pornchai Chanyagorn, Harold H. Szu, Ivica Kopriva
2003	B	`conf`	Cauchy machine for blind inversion in linear space-variant imaging. IJCNN Harold Szu, Ivica Kopriva
2002	J	`jnl`	Sparse coding blind source separation through Powerl. Neurocomputing Harold Szu, Pornchai Chanyagorn, Ivica Kopriva
1999	J	`jnl`	Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system. Simul. Pract. Theory Kresimir Cosic, Ivica Kopriva, Todor Kostic, Miroslav Slamic, Marijo Volarevic
1998	—	`conf`	Adaptive blind separation of convolved sources based on minimization of the generalized instantaneous energy. EUSIPCO Ivica Kopriva
1997	J	`jnl`	A methodology for digital real time simulation of dynamic systems using modern DSPs. Simul. Pract. Theory Kresimir Cosic, Ivica Kopriva, Tomislav Sikic
1992	J	`jnl`	Workstation for integrated system design and development. Simul. Kresimir Cosic, Ivica Kopriva, I. Miler