Cristian Vicas

Grants and papers

Activity > Research > Grants and papers

Scientific papers

Legend

  • ISI: papers published in peer reviewed journals, indexed by Clarivate Web of Science.
  • ISI-conf: papers published in proceedings of peer reviewed conferences, indexed by Clarivate Web of Science.
  • IEEEXplore: papers published in proceedings of peer reviewed conferences, indexed by the IEEE Xplore Digital Library.
  • Scopus: papers published in proceedings of peer reviewed conferences or journals, indexed by the Elsevier’s Scopus database.
  • Acta: papers published in proceedings of peer reviewed conferences or journals, indexed by the ACTA Press.
  • MathRev: papers published in peer reviewed journals, indexed by Mathematical Reviews database, from American Mathematical Society.
  • Conf: Various peer reviewed national or international conferences.
  • jB+: papers published in national (Romanian) journals graded B+ by Romanian National Research Council.
  • jCD: papers published in national (Romanian) journals graded C or D by Romanian National Research Council.
  • BookCh: Book chapter.
  • Abstract: Papers published as abstracts, extended abstracts and/or oral presentations to various national and international conferences.

2021

  1. C. Vicas, “Inductive biases and Self Supervised Learning in modelling a physical heating system,” Download paper

2020

  1. C. Vicas, “Evaluation of Deep Learning architectures for System Identification. Applications for a household heating system”, 2020 16th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Indexed: ISI-conf, IEEEXplore; Download paper Download draft

2017

  1. C. Vicas, I. Rusu, N. Al-Hajjar,M. Lupşor-Platon, “Deep convolutional neural nets for objective steatosis detection from liver samples”, 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Indexed: ISI-conf, IEEEXplore; Download paper Download draft

2016

  1. M. Lupsor-Platon, R. Badea, M. Gersak, A. Maniu, I. Rusu, A. Suciu, C. Vicas, H. Stefanescu, R. Urs, N. Al Hajjar, “Noninvasive Assessment of Liver Diseases using 2D Shear Wave Elastography,” JOURNAL OF GASTROINTESTINAL AND LIVER DISEASES, Volume: 25 Issue: 4 Pages: 525-532 Indexed: ISI; Download paper

2015

  1. C. Vicas and S. Nedevschi, “Detecting Curvilinear Features Using Structure Tensors”, Image Processing, IEEE Transactions on, Volume:24 , Issue: 11, pp: 3874 – 3887, 2015. Indexed: ISI, IEEEXplore; Download paper Download draft

2013

  1. S. Nedevschi, T. Marita, R. Danescu, F. Oniga, R. Brehar, I. Giosan, and C. Vicas, Procesarea Imaginilor Indrumator de Laborator. Cluj Napoca, 2013. ISBN: 978-973-662-796-5 Indexed: BookCh

2012

  1. C. Vicas, M. Lupsor, M. Socaciu, S. Nedevschi, and R. Badea, “Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis,” Computational and Mathematical Methods in Medicine, vol. 2012, 2012. Indexed: ISI, Scopus; Download paper

2011

  1. C. Vicas, M. Lupsor, M. Socaciu, R. Badea, and S. Nedevschi, “Texture Analysis as a Noninvasive Tool for Fibrosis Assessment in Chronic Hepatitis C. Influence of Expert Dependent Variability over the Performance of Texture Analysis,” IEEE Proc.Intelligent Computer Comm. Process., pp. 205-212, 2011 Indexed: IEEEXplore; Download draft
  2. C. Vicas, M. Lupsor, R. Badea, and S. Nedevschi, “Usefulness of Textural Analysis as a Tool for Non-Invasive Liver Fibrosis Staging,” Journal of Medical Ultrasonics, vol. 38, pp. 105-117, 2011. Indexed: ISI, Scopus; Download paper Download draft
  3. C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Detection and Staging of Liver Fibrosis Using Additive Logistic Models,” in Eleventh IASTED Int. Conf. Artificial Intelligence and Applications, Innsbruck, Austria, 2011, pp. 95-100. Indexed: Scopus, Acta; Download paper Download draft
  4. Radu CI, Grigorescu M, Lupsor M, Vicas C, Nedevschi S, Badea R, Sparchez Z, Crisan D, Serban A,Comparison Between Three Non-Invasive Methods For The Diagnosis Of Steatosis In Non-Alcoholic Fatty Liver Disease: Attenuation Coefficient Computed On The Ultrasound Image, Adiponectin And Steatotest, JOURNAL OF HEPATOLOGY, Vol. 54, pp S344-S344, nr 863 Indexed: Isi, Scopus; Download paper
  5. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefanescu, M. Grigorescu, C. Radu, and D. Crisan, “Non-invasive Steatosis Assessment through the Computerized Processing of Ultrasound Images: Attenuation versus First Order Texture Parameters,” International Conference on Advancements of Medicine and Health Care through Technology, 2011, pp. 184-189. Indexed: ISI-conf; Download paper Download draft

2010

  1. C. Vicas and S. Nedevschi, “Performance Evaluation of the Textural Analysis Algorithms in Liver Fibrosis Detection Using Ultrasound Software Phantoms,” in 2010 IEEE 6th Int. Conf. Intelligent Computer Communication and Processing, Cluj-Napoca, 2010, pp. 155-162. Indexed: IEEEXplore; Download paper Download draft
  2. C. Vicas, M. Lupsor, M. Socaciu, R. Badea, and S. Nedevschi, “Liver Fibrosis detection by the means of texture analysis. Limitations and further development directions,” Automat. Comput. Appl. Math., vol. 19, pp. 397-402, 2010. Indexed: MathRev, jB+; Download draft
  3. C. Vicas, M. Lupsor, R. Badea, and S. Nedevschi, “Detection of anatomical structures on ultrasound liver images using Gabor filters,” in Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on Cluj Napoca, 2010, pp. 249-253. Indexed: IEEEXplore, Scopus; Download paper Download draft
  4. C. Radu, M. Grigorescu, M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, M. D. Grigorescu, Z. Sparchez, D. Crisan, and D. Feier, “The diagnostic performance of attenuation coefficient computed on the ultrasound image compared to a biochemical marker — SteatoTest — for steatosis quantification in non-alcoholic fatty liver disease,” in Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on Cluj Napoca, 2010, pp. 310-314. Indexed: IEEEXplore, Scopus; Download paper
  5. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, C. Radu, H. Stefanescu, and D. Crisan, “Non-invasive steatosis assessment in NASH through the computerized processing of ultrasound images: Attenuation versus textural parameters,” in Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on 2010, pp. 333-338. Indexed: IEEEXplore, Scopus; Download paper

2009

  1. C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Automatic detection of liver capsule using Gabor filters. Applications in steatosis quantification,” IEEE Proc.Intelligent Computer Comm. Process., pp. 133-140, Aug. 2009. Indexed: IEEEXplore; Download paper Download draft
  2. C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Fibrosis detection using ultrasound and serological markers as features for additive logistic regression.,” Automat. Comput. Appl. Math., vol. 18, pp. 206-211, 2009. Indexed: MathRev, jB+Download draft
  3. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefãnescu, M. Socaciu, C. Radu, D. Crisan, and M. Gigorescu, “The performance of attenuation coefficient computed on the ultrasound image in quantifying liver steatosis in diffuse liver diseases patients,” Automat. Comput, Appl. Math., vol. 18, pp. 199-205, 2009. Indexed: MathRef,  jB+
  4. L. Vicas, D. Pelea, C. Vicas, and S. Nedevschi, “Software solution to quality assessment in medical analytical laboratories” 3-rd Workshop on Computers in Medical Diagnosis, Technical University of Cluj-Napoca, Aug. 2009 Indexed: jB+ Download draft
  5. C. Radu, M. Grigorescu, M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, Z. Sparchez, D. Crisan, and A. Serban, “Performanţa determinării coeficientului de atenuarea al ultrasunetelor comparativ cu un marker biologic (adiponectina) pentru diagnosticul steatozei în FGNA.,” J Gastrointestin Liver Dis., vol. 18, p. 82, 2009. Indexed: Abstract
  6. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefãnescu, M. Grigorescu, Z. Sparchez, H. Branda, C. Radu, D. Crisan, A. Serban, and A. Maniu, “Performanţa determinării coeficientului de atenuare al ultrasunetelor comparativ cu examinarea ultrasonografică uzuală pentru cuantificarea steatozei la pacienţii cu steatohepatită nonalcoolică. ,” Medical Ultrasonography, vol. 11, pp. 42-43, 2009. Indexed: Abstract
  7. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefãnescu, M. Grigorescu, M. Radu, D. Crisan, Z. Sparchez, H. Branda, A. Serban, and A. Maniu, “The diagnosis performance of the attenuation coefficient computed on the ultrasonic image in comparison with the classical ultrasonographic examination, to quantify the hepatic fat content in nonalcoholic steatohepatitis patients. ,” Proceedings of EASL Special Conference on NAFLD/NASH and related metabolic disease, p. 169, 2009.
  8. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefãnescu, C. Radu, D. Crisan, M. Socaciu, Z. Sparchez, and A. Serban, “The performance of attenuation coefficient computed on the ultrasound image in quantifying liver steatosis in nonalcoholic steatohepatitis patients.,” GUT, vol. 58, p. A197, 2009. Indexed: Abstract
  9. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefãnescu, C. Radu, D. Crisan, M. Socaciu, Z. Sparchez, H. Branda, and A. Serban, “Cuantificarea steatozei in hepatita cronică virală C prin calcularea coeficientului de atenuare al ultrasunetelor pe imaginea ecografică.,” J Gastrointestin Liver Dis., vol. 18, p. 16, 2009. Indexed: Abstract

2008

  1. S. Nedevschi, C. Vicas, D. Mitrea, M. Lupsor, M. Grigorescu, and R. Badea, “Usefulness Of Attenuation And Backscattering Coefficients In Investigating Complex Nonalcoholic Steatohepatitis From Ultrasound Images. Preliminary Results,” Proc. 19’th Biosignal Conference, Brno, p. paper ID 126, Jun 2008. Indexed: Conf; Download draft
  2. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, C. Radu, D. Crisan, Z. Sparchez, A. Serban, and H. Branda, “Ultrasonographic diagnosis of nonalcoholic steatohepatitis based on the quantitative evaluation of the ultrasound beam behavior into the liver,” Proc. Int. Conf. Automation, Quality and Testing, Robotics, vol. 3, pp. 112-117, 2008 Indexed: ISI-conf, IEEEXplore; Download paper
  3. M. Grigorescu, C. Radu, M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, Z. Sparchez, D. Crisan, and A. Serban, “Comparison between attenuation coefficient computed on the ultrasound image and a biological marker, adiponectin, in the diagnosis of steatosis in non-alcoholic fatty liver disease,” Proc. Int. Conf. Automation, Quality and Testing, Robotics, vol. 3, pp. 118-122 2008. Indexed: ISI-conf, IEEEXplore Download paper
  4. R. Badea, M. Lupsor, H. Stefanescu, C. Vicas, D. Mitrea, M. Socaciu, and S. Nedevschi, “Integrated procedures of evaluating the hepatic morphology, for the non-invasive detection and quantification of steatosis and fibrosis based on the ultrasound diagnosis,” Automat. Comput, Appl. Math. , vol. 17, pp. 1-11, 2008. Indexed: MathRev, jB+
  5. S. Nedevschi, C. Vicas, M. Lupsor, R. Badea, and M. Grigorescu, “The employment of textural and non textural image analysis algorithms in assessing the diffuse liver diseases,” Automat. Comput, Appl. Math. , vol. 17, pp. 12-17, 2008. Indexed: MathRev, jB+; Download draft
  6. S. Nedevschi, C. Vicas, M. Lupsor, R. Badea, and M. Grigorescu, “Usefulness of image processing techniques in assessing the diffuse liver diseases,” Proc. ICCP 2008, 2nd Workshop Computers in Medical Diagnosis, Cluj-Napoca, pp. 10-15, Aug 2008. Indexed: MathRev, jB+
  7. R. Badea, M. Lupsor, H. Stefanescu, S. Nedevschi, C. Vicas, and D. Mitrea, “Techniques for optimizing the ultrasound method used for accurate discovery and non-invasive evaluation of steatosis, fibrosis and liver restructuring – SIDEF,” Proceedings of ICCP 2008 2-nd Workshop on Computers in Medical Diagnosis, Technical University of Cluj-Napoca, pp. 1-9, Aug. 2008 Indexed: jB+
  8. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, C. Radu, D. Crisan, A. Serban, and M. Socaciu, “Performanţa diagnostica a coeficientului de atenuare calculat pe imaginea ecografică în detecţia steatozei din hepatita cronica virală C. Rezultate pe un lot de 524 pacienţi.,” Romanian Journal of Hepatology, vol. 4, pp. 74-75, 2008. Indexed: jCD
  9. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, C. Radu, D. Crisan, and A. Serban, “Detection of steatosis in chronic hepatitis C, based on the evaluation of the attenuation coefficient computed on the ultrasound image,” Medical Ultrasonography, vol. 10, pp. 13-20, 2008 Indexed: jCD
  10. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, H. Branda, C. Radu, D. Crisan, and A. Serban, “The diagnosis performance of the attenuation coefficient computed on the ultrasonic image in comparison with the classical ultrasonographic examination, to quantify the hepatic fat content in nonalcoholic steatohepatitis patients,” Romanian Journal of Hepatology, vol. 4, pp. 21-30, 2008. Indexed: jCD
  11. M. Lupsor, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefãnescu, Z. Sparchez, A. Serban, H. Branda, M. Florea, and R. Badea, “Steatohepatitis Detection from Ultrasound Images Using Attenuation and Backscattering Coefficients.,” Ultraschall Med, vol. 29, p. S8, 2008. Indexed: Abstract
  12. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, C. Radu, D. Crisan, A. Serban, and M. Socaciu, “The performance of attenuation coefficient computed on the ultrasound image in quantifying liver steatosis in chronic hepatitis C patients. ,” GUT vol. 57, p. A45, 2008. Indexed: Abstract
  13. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, C. Radu, D. Crisan, A. Serban, and H. Branda, “Diagnosis value of the attenuation coefficient computed from ultrasound image for predicting the presence and severity of nonalcoholic steatohepatitis. ,” Ultraschall Med, vol. 29, pp. S11-S12, 2008. Indexed: Abstract
  14. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefãnescu, Z. Sparchez, C. Radu, D. Crisan, and A. Serban, “Detection of steatosis in chronic hepatitis C, based on the evaluation of the attenuation coefficient computed on the ultrasound image.,” J Gastrointestin Liver Dis., vol. 17, pp. 247-248, 2008. Indexed: Abstract
  15. M. Lupsor, R. Badea, D. Mitrea, C. Vicas, and S. Nedevschi, “Evaluarea şi caracterizarea steatozei, fibrozei şi restructurării parenchimului hepatic cu ajutorul ultrasonografiei şi a metodelor computerizate de analiză a imaginii,” in Actualităţi în patologia hepatică, M. Grigorescu and M. Beuran, Eds., ed Cluj Napoca: Editura Medicală Universitară “Iuliu Haţieganu”, 2008, pp. 288 – 302. ISBN: 978-973-693-277-9 Indexed: BookCh

2007

  1. C. Vicas, S. Nedevschi, M. Lupsor, R. Badea, and M. Grigorescu, “Steatohepatitis Detection from Ultrasound Images Using Attenuation and Backscattering Coefficients,” Automat. Comput, Appl. Math., vol. 16, pp. 20-26, 2007. Indexed: jB+
  2. C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Fibrosis detection from ultrasound imaging. The influence of necro-inflammatory activity and steatosis over the detection rates,” Automat. Comput, Appl. Math., vol. 16, pp. 26-32, 2007. Indexed: jB+
  3. M. Lupsor, S. Nedevschi, C. Vicas, R. Badea, M. Grigorescu, S. Tripon, H. Stefanescu, C. Radu, A. Serban, and T. Suteu, “Estimating the fibrosis stage in the human liver tissue using image processing methods on ultrasonographic images. Preliminary results,” Proc. EMMIT, 3rd Ed., pp. 311-318, 2007. Indexed: Conf
  4. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, S. Tripon, H. Stefanescu, T. Suteu, C. Radu, and M. Grigorescu, “Estimarea stadiului fibrozei în hepatita cronică virală C folosind metode computerizate de analiza a imaginii ecografice. Rezultate preliminare.,” J Gastrointestin Liver Dis., vol. 16, pp. 62-63, 2007. Indexed: Abstract
  5. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefãnescu, S. tripon, T. Suteu, C. Radu, and M. Grigorescu, “Estimating the fibrosis stage in chronic hepatits C patients using image processing methods on ultrasonographic images. Preliminary results.,” Ultraschall Med, vol. 28, pp. S1-S74, 2007. Indexed: Abstract
  6. M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefanescu, and M. Grigorescu, “Spre “biopsia hepatică virtuală”. Detectarea ultrasonografică a steatohepatitei, folosind coeficienţii de atenuare şi reflexie – rezultate preliminare.,” Romanian Journal of Hepatology, vol. 3, pp. 52-53, 2007. Indexed: Abstract
  7. M. Lupsor, R. Badea, S. Nedevschi, C. Vicas, S. Tripon, H. Stefanescu, C. Radu, and M. Grigorescu, “The assessment of liver fibrosis using the computerized analysis of ultrasonographic images. Is the virtual biopsy appearing as an option?,” Acta Electrotehnica, vol. 48, pp. 245-250, 2007. Indexed: Conf, jB+; Download draft

Reviewer and Editor

  • IEEE-T Image Processing
  • IEEE-T Intelligent Transportation Systems
  • IEEE International Conference on Intelligent Computer Communication and Processing
  • Medical & Biological Engineering & Computing
  • European Radiology

Grants

e-PNRR-1277457265 (2022 – 2023) – “The transformation of the University ecosystem through the digital transition towards a sustainable European future – eUT4ALL”

PNII-RU-TE-2015-2023 (2015): Non invasive evaluation of non alcoholic steatohepatitis by means of 1D transient elastography, “ShearWave” elastography and serum markers.

PN-II-ID-PCCE (2012-2013): Continuous modeling of advanced materials in virtual fabrication.

The purpose of the project consisted in the development material models at microscopic scale and their transfer to macroscopic scale by implementation in computer programmes for the simulation of sheet metal forming processes. comod.utcluj.ro

INSEMTIVES (2011): Incentives for Semantics

The objective of INSEMTIVES was to bridge the gap between human and computational intelligence in the current semantic content authoring R&D landscape. The project aims at producing methodologies, methods and tools that enable the massive creation and feasible management of semantic content in order to facilitate the world­wide uptake of semantic technologies. insemtives.eu

SIDEF (2006-2008): Intelligent System for Non-Invasive Detection and Evaluation of Liver Fibrosis, Restructuring and Dysplasic Nodules using 2D/3D Ultrasonography and Molecular Markers

The main purpose of the project is the creation of a prediction model concerning the liver pathological state, based on an intelligent system that non-invasively detects and evaluates the fibrosis stage, the restructuring grade and the dysplasic nodules using 2D and 3D ultrasonography and the molecular markers.

FINALISM (2006-2008):  NON-ALCOHOLIC FATTY LIVER DISEASE, CHRONIC VIRAL C HEPATITIS AND GALLSTONE DISEASE – COMPONENTS OF THE METABOLIC SYNDROME. CLINICAL EPIDEMIOLOGY, PATHOGENESIS, NON-INVASIVE DIAGNOSIS

The main purpose of the project is the creation of a prediction model concerning the liver pathological state, based on an intelligent system that non-invasively detects and evaluates the steatosis and steatohepatitis grade, using 2D and 3D ultrasonography.

SONOFIBROCAST (2007-2010): Staging and prediction algorithm of hepatic fibrosis evolution using non invasive ultrasound techniques, optimized by stochastic analysis and image processing.

This project is an interdisciplinary project that aims at increasing the diagnosis power of ultrasound examination for hepatic fibrosis. Here, they are employed thechniques like standard ultrasound investigation, real time elastogrpahy transient elastography and contrast ultrasound investigation.

Failed grant proposals and paper rejects

2021 – THE NATIONAL PLAN FOR RESEARCH, DEVELOPMENT AND INNOVATION 2015-2020, PNIII, Subprogramme 1.1 – Human Resources, Research projects for stimulating young independent teams

2021 – Sensors: Emerging Sensors Techniques and Technologies for Intelligent Environments

2008 – 2012  – Journal of Ultrasound in Medicine, Medical Image Analysis, Computerized Medical Imaging and Graphics,