Dr. Ivica Kopriva Profile

Dr. Ivica Kopriva

Senior Scientist at Ruder Boškovic Institute

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 15 February 2021 Presentation + Paper

Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens

Ivica Kopriva, Dario Sitnik, Gorana Aralica, Arijana Pačić, Marijana Popović Hadžija, Mirko Hadžija

Proceedings Volume 11603, 116030R (2021) https://doi.org/10.1117/12.2579408

KEYWORDS: RGB color model, Hyperspectral imaging, Image segmentation, Spectral resolution, Breast cancer, Binary data, Spatial resolution, Cancer

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Proceedings Article | 16 March 2020 Presentation + Paper

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 Pačić, Marijana Popović Hadžija, Mirko Hadžija, Ivica Kopriva

Proceedings Volume 11320, 1132009 (2020) https://doi.org/10.1117/12.2542799

KEYWORDS: Image segmentation, Diagnostics, Cancer, Colorectal cancer, Liver, Tissues, Computer aided diagnosis and therapy, RGB color model, Analytical research, Surgery

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Proceedings Article | 16 March 2020 Presentation + Paper

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 Pačić, Marijana Popović Hadžija, Mirko Hadžija

Proceedings Volume 11320, 113200A (2020) https://doi.org/10.1117/12.2538303

KEYWORDS: RGB color model, Image segmentation, Data modeling, Colorectal cancer, Cancer, Liver, Statistical modeling, Performance modeling, Computer programming, Visualization

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Proceedings Article | 10 March 2020 Paper

Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images

Ivica Kopriva, Fei Shi, Marija Štanfel, Xinjian Chen

Proceedings Volume 11313, 113132H (2020) https://doi.org/10.1117/12.2538466

KEYWORDS: Optical coherence tomography, Speckle, Signal to noise ratio, Digital filtering, 3D image processing, Image quality, Image enhancement, 3D image enhancement, Tissues, Image filtering

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Proceedings Article | 18 March 2019 Paper

Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver

Ivica Kopriva, Gorana Aralica, Marijana Popović Hadžija, Mirko Hadžija, Laura-Isabelle Dion-Bertrand, Xinjian Chen

Proceedings Volume 10956, 109560S (2019) https://doi.org/10.1117/12.2503907

KEYWORDS: Cancer, Colorectal cancer, Hyperspectral imaging, Tissues, Liver, Diagnostics, Microscopes, RGB color model, Image-guided intervention, Luminescence

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Proceedings Article | 1 March 2017 Presentation + Paper

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens

Ivica Kopriva, Maria Brbić, Dijana Tolić, Nino Antulov-Fantulin, Xinjian Chen

Proceedings Volume 10140, 1014003 (2017) https://doi.org/10.1117/12.2247806

KEYWORDS: Image segmentation, Image processing algorithms and systems, Associative arrays, Tissues, Liver, Colorectal cancer, Tumors, Silicon, Signal to noise ratio, Blood vessels

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SPIE Journal Paper | 18 July 2016 Open Access

Enhanced low-rank + sparsity decomposition for speckle reduction in optical coherence tomography

Ivica Kopriva, Fei Shi, Xinjian Chen

JBO, Vol. 21, Issue 07, 076008, (July 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.7.076008

KEYWORDS: Optical coherence tomography, Speckle, Signal to noise ratio, Digital filtering, 3D image processing, Tissues, Image enhancement, Detection and tracking algorithms, Biomedical optics, 3D image enhancement

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Proceedings Article | 23 March 2016 Paper

Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results

Ivica Kopriva, Marijana Popović Hadžija, Mirko Hadžija, Gorana Aralica

Proceedings Volume 9791, 97910P (2016) https://doi.org/10.1117/12.2212198

KEYWORDS: Image enhancement, On-screen displays, Tissues, Liver, Monoclonal antibodies, Colon, Microscopy, Digital image processing, Image storage, RGB color model, Pathology, Medical imaging, Image analysis, Image quality

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SPIE Journal Paper | 28 July 2015 Open Access

Offset-sparsity decomposition for automated enhancement of color microscopic image of stained specimen in histopathology

Ivica Kopriva, Marijana Popović Hadžija, Mirko Hadžija, Gorana Aralica

JBO, Vol. 20, Issue 07, 076012, (July 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.7.076012

KEYWORDS: Image enhancement, Liver, Image quality, Tissues, Molybdenum, On-screen displays, RGB color model, Image analysis, Pathology, Yield improvement

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Proceedings Article | 13 March 2013 Paper

Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain

Ivica Kopriva, Ante Jukić, Xinjian Chen

Proceedings Volume 8669, 866938 (2013) https://doi.org/10.1117/12.2000529

KEYWORDS: Image segmentation, 3D image processing, 3D modeling, Tissues, Tumors, Neuroimaging, Brain, Multispectral imaging, Magnetism, Computed tomography

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Proceedings Article | 15 March 2011 Paper

Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image

Ivica Kopriva, Xinjian Chen, Jianhua Yao

Proceedings Volume 7962, 79623A (2011) https://doi.org/10.1117/12.876965

KEYWORDS: Image segmentation, Computed tomography, Liver, Image contrast enhancement, Image enhancement, Transform theory, Spine, Convolution, Image processing algorithms and systems, Independent component analysis

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Proceedings Article | 13 March 2010 Paper

3D tensor-based blind multispectral image decomposition for tumor demarcation

Ivica Kopriva, Antun Peršin

Proceedings Volume 7623, 76231W (2010) https://doi.org/10.1117/12.839568

KEYWORDS: Tumors, RGB color model, 3D image processing, 3D modeling, Multispectral imaging, Image processing, Skin, Tumor growth modeling, Image segmentation, Image restoration

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Proceedings Article | 28 September 2009 Paper

Dependent component analysis for hyperspectral image classification

Qian Du, Ivica Kopriva

Proceedings Volume 7477, 74770G (2009) https://doi.org/10.1117/12.830048

KEYWORDS: Independent component analysis, Neodymium, Image classification, Linear filtering, Hyperspectral imaging, Image analysis, Remote sensing, Signal processing, Statistical analysis, Wavelet transforms

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Proceedings Article | 27 March 2009 Paper

Dependent component analysis based approach to robust demarcation of skin tumors

Ivica Kopriva, Antun Peršin, Neira Puizina-Ivić, Lina Mirić

Proceedings Volume 7259, 72594Q (2009) https://doi.org/10.1117/12.806404

KEYWORDS: Tumors, Image segmentation, RGB color model, Independent component analysis, Luminescence, Skin, Tissues, Statistical analysis, Image processing algorithms and systems, Multispectral imaging

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SPIE Journal Paper | 1 January 2006

Independent-component analysis for hyperspectral remote sensing imagery classification

Qian Du, Ivica Kopriva, Harold Szu

OE, Vol. 45, Issue 01, 017008, (January 2006) https://doi.org/10.1117/12.10.1117/1.2151172

KEYWORDS: Independent component analysis, Principal component analysis, Image classification, Hyperspectral imaging, Optical engineering, Remote sensing, Signal to noise ratio, Scene classification, Minerals, Dimension reduction

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Proceedings Article | 28 March 2005 Paper

Classifying hyperspectral remote sensing imagery with independent component analysis

Qian Du, Ivica Kopriva, Harold Szu

Proceedings Volume 5818, (2005) https://doi.org/10.1117/12.603189

KEYWORDS: Independent component analysis, Principal component analysis, Hyperspectral imaging, Image classification, Remote sensing, Signal to noise ratio, Data modeling, Image processing, Signal processing, Dimension reduction

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Proceedings Article | 12 April 2004 Paper

Image sharpening using image sequence and independent component analysis

Ivica Kopriva, Qian Du, Harold Szu

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.542122

KEYWORDS: Independent component analysis, Video, Image analysis, Image sensors, Sensors, Atmospheric turbulence, Image registration, Turbulence

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Proceedings Article | 12 April 2004 Paper

Subpixel jitter video restoration on board of micro-UAV

Harold Szu, James Buss, Joseph Garcia, Nancy Breaux, Ivica Kopriva, Nicholas Karangelen, M. Hsu, Ting Lee, Jeff Willey, Gary Shield, Steve Brown, R. Robbins, John Hobday

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.563654

KEYWORDS: Video, Silver, Data storage, Image processing, Aerodynamics, Unmanned aerial vehicles

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Proceedings Article | 12 April 2004 Paper

Early breast tumor and late SARS detections using space-variant multispectral infrared imaging at a single pixel

Harold Szu, James Buss, Ivica Kopriva

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.548916

KEYWORDS: Tumors, Synthetic aperture radar, Breast, Multispectral imaging, Infrared imaging, Inverse problems, Physics, Independent component analysis, Image processing, Remote sensing

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Proceedings Article | 12 April 2004 Paper

Independent component analysis for remotely sensed image classification with limited data dimensionality

Qian Du, Ivica Kopriva, Harold Szu, James Buss

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.541924

KEYWORDS: Independent component analysis, Image classification, Scene classification, Photography, Landsat, Earth observing sensors

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Proceedings Article | 1 April 2003 Paper

Rectification of nonlinearity in pre-amplifier and A/D converter of biomedical instruments

Jun Yang, Seong-Bin Yim, Ivica Kopriva, Harold Szu

Proceedings Volume 5102, (2003) https://doi.org/10.1117/12.501740

KEYWORDS: Independent component analysis, Electrocardiography, Complex systems, Amplifiers, Biomedical optics, Signal processing, Statistical analysis, Data acquisition, Diagnostics, Fetus

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Proceedings Article | 1 April 2003 Paper

Blind inversion in nonlinear space-variant imaging by using Cauchy machine

Ivica Kopriva, Harold Szu

Proceedings Volume 5102, (2003) https://doi.org/10.1117/12.501498

KEYWORDS: Independent component analysis, Algorithms, Error analysis, Neural networks, Thermodynamics, Sensors, Stochastic processes, Optimization (mathematics), Evolutionary algorithms, Remote sensing

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Proceedings Article | 8 March 2002 Paper

Power-line communication testbed through underdetermined blind source separation

Pornchai Chanyagorn, Ivica Kopriva, Harold Szu

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458760

KEYWORDS: Data modeling, Sensors, Signal to noise ratio, Transformers, Binary data, Interference (communication), Data communications, Receivers, Signal attenuation, Broadband telecommunications

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Proceedings Article | 8 March 2002 Paper

Fast LCNN ICA for unsupervised hyperspectral image classifier

Ivica Kopriva, Harold Szu

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458765

KEYWORDS: Independent component analysis, Hyperspectral imaging, Reflectivity, Data modeling, Remote sensing, Image information entropy, Evolutionary algorithms, Field programmable gate arrays, Physics, Photons

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Proceedings Article | 26 March 2001 Paper

Noisy image superresolution by artificial neural networks

Harold Szu, Ivica Kopriva

Proceedings Volume 4391, (2001) https://doi.org/10.1117/12.421186

KEYWORDS: Imaging systems, Artificial neural networks, Super resolution, Independent component analysis, Lithium, Diffraction, Wavelets, Dysprosium, Quantum wells, Geometrical optics

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Proceedings Article | 15 December 2000 Paper

Independent component analysis approach to resolve the multisource limitation of the reticle-based optical trackers

Ivica Kopriva, Harold Szu

Proceedings Volume 4130, (2000) https://doi.org/10.1117/12.409910

KEYWORDS: Reticles, Independent component analysis, Optical tracking, Sensors, Frequency modulation, Fermium, Modulation, Detection theory, Detection and tracking algorithms, Optical design

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Proceedings Article | 5 April 2000 Paper

Unsupervised ICA neural networks applied to reticle optical trackers

Ivica Kopriva, Harold Szu

Proceedings Volume 4056, (2000) https://doi.org/10.1117/12.381677

KEYWORDS: Reticles, Independent component analysis, Optical tracking, Frequency modulation, Fermium, Sensors, Modulation, Amplitude modulation, Detection theory, Nonlinear optics

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Showing 5 of 27 publications

Conference Committee Involvement (4)

Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV

19 April 2006 | Orlando (Kissimmee), Florida, United States

Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III

30 March 2005 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II

14 April 2004 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, and Neural Networks

22 April 2003 | Orlando, Florida, United States

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