Lista de lucrări (Mitrea Delia-Alexandrina)
Cele mai relevante lucrări
pentru realizările profesionale proprii (10)
[1] D. Mitrea, R. Brehar, S.
Nedevschi, M. Platon-Lupsor, M. Socaciu, R. Badea, “Hepatocellular Carcinoma
Recognition from Ultrasound Images Using Combinations of Conventional and Deep
Learning Techniques", Sensors, Vol. 23, No. 5, pp. 1-29,
2023, https://www.mdpi.com/1424-8220/23/5/2520
[ISI, Q2]
[2]
D. Mitrea, S. Nedevschi, M. Socaciu, R. Badea, “Deep Learning
Techniques for Liver Tumor Recognition in Ultrasound Images”, book chapter in
the book titled “Deep Learning - Recent Findings and Researches”, IntechOpen,
2023 (https://www.intechopen.com/online-first/deep-learning-techniques-for-liver-tumor-recognition-in-ultrasound-images)
[3] D. Mitrea, R. Badea, P. Mitrea, S. Brad, S. Nedevschi, “Hepatocellular
Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using
Advanced Machine Learning Methods”, Sensors,
Vol. 21, No. 6, pp. 1-31, 2021, https://doi.org/10.3390/s21062202
[ISI, Q2]
[4] D. Mitrea, L. Tamas, “Manufacturing Execution
System Specific Data Analysis-Use Case With a
Cobot”, IEEE Access,
Vol. 6, pp. 50245-50259, 2018, ISSN: 2169-3536 https://ieeexplore.ieee.org/document/8457197
[ISI, Q2]
[5] C. Radu, P. Fisher, D.
Mitrea, I. Birlescu, T. Marita, F. Vancea, V. Florian, C. Tefas, R. Badea,
H. Ștefănescu, S. Nedevschi, D. Pisla, N. Al Hajjar, “Integration of
Real-Time Image Fusion in the Robotic-Assisted Treatment of Hepatocellular
Carcinoma, Biology-Basel, Vol. 9, No.11, pp. 1-13, Nov. 2020, ISSN: 2079-7737”, [ISI, Q1]
[6] R. Brehar, D. Mitrea, F. Vancea, T. Marita, S. Nedevschi, M. Lupsor Platon, M. Rotaru, R.Badea, “Comparison of
Deep-Learning and Conventional Machine-Learning Methods for the Automatic
Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images”, Sensors, Vol.20, No.
11,
2020, pp.
1-22, https://www.mdpi.com/1424-8220/20/11/3085/htm
[ISI, Q2]
[7] D. Mitrea, S. Nedevschi, M. Abrudean, M. Platon-Lupsor, R.
Badea, “The
Role of the Textural Microstructure Co-occurrence Matrices in the Automatic
Detection of the Cirrhosis Severity Grades from Ultrasound Images”, Journal of Control Engineering and
Applied Informatics, ISSN
1454-8658, Vol. 18, Nr.4, pp.
96-106, decembrie 2016, http://www.ceai.srait.ro/index.php?journal=ceai&page=article&op=view&path%5B%5D=3561
[ISI]
[8] D. Mitrea, S. Nedevschi, M. Socaciu, R. Badea, “The role of the
superior order GLCM in the characterization and recognition of the liver tumors
from ultrasound images”, Radioengineering
Journal, ISSN 1210-2512, Vol. 21, Nr.1, Partea 1: “Special Issue on Signal
Processing”, pp. 79-85, aprilie 2012, http://www.radioeng.cz/papers/2012-1.htm
[ISI].
[9] D. Mitrea, S. Nedevschi, R. Badea, „Automatic Recognition of the Hepatocellular
Carcinoma from Ultrasound Images using Complex Textural Microstructure
Co-Occurrence Matrices (CTMCM)”, Proceedings of the 7th
International Conference on Pattern Recognition Applications and Methods -
Volume 1: ICPRAM, pp. 178-189, 2018, Funchal,
Madeira, Portugal, ISBN: 978-989-758-276-9
[ISI Proceedings]
[10] D. Mitrea, S. Nedevschi, R. Badea,
“The Role of the Complex
Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised
Detection of the HCC Evolution Phases, based on Ultrasound Images”,
International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016),
24-26 februarie 2016, Roma, pp. 698-705 [Scopus]
Teza de doctorat
Co-autor la brevet depus la OSIM (Organizaţia de Stat pentru Invenţii
şi Mărci),
Radu Badea, Sergiu Nedevschi, Cristian Vicaş,
Monica Lupşor, Delia Mitrea,
Tiberiu Mariţa, Paulina Mitrea,
"Metodă de detectare şi evaluare neinvazivă a fibrozei,
restructurării şi a nodulilor displazici, bazată pe procesarea
computerizată a imaginilor ultrasonografice achiziționate la nivel
hepatic", Nr. de înregistrate
OSIM A/00717/21.07.2011
Cărţi de specialitate
şi capitole în cărți (8)
[1]
D. Mitrea,
S. Nedevschi, M. Socaciu, R. Badea, “Deep Learning Techniques for Liver Tumor
Recognition in Ultrasound Images”, book chapter in the book titled “Deep
Learning - Recent Findings and Researches”, IntechOpen, 2023 (https://www.intechopen.com/online-first/deep-learning-techniques-for-liver-tumor-recognition-in-ultrasound-images)
[2]
S. Nedevschi, D. Mitrea, “Deep
Learning for Pathology Detection and Diagnosis in Medical Imaging”, MDPI,
2024, 220 pg, https://www.mdpi.com/books/reprint/9901-deep-learning-for-pathology-detection-and-diagnosis-in-medical-imaging
[3]
D. Mitrea, “Metode bazate pe textură pentru analiza
şi recunoaşterea structurilor anatomice din imagini
ultrasonografice”, Editura Mediamira, 2017, ISBN: 978-973-713-351-9
[4]
D. Mitrea, "Introduction in Computational Intelligence",
cap. in C. D. Sabau-Popa, "Computational Intelligence in Financial
Management", Editura Universitara,
Bucuresti, 2020, 36 pagini, limba engleza, ISBN 978-606-28-1148-8
[5]
D. Mitrea, S. Nedevschi, M. Platon-Lupsor, R. Badea. "Advanced texture
analysis techniques for building textural models, with applications in the
study of the pathology evolution stages, based on ultrasound images",
capitol de carte in “European Project Space on Intelligent Technologies, Software engineering, Computer Vision,
Graphics, Optics and Photonics ", SCITEPRESS Digital Library, ISBN
978-989-758-206-6, 25 de pagini în limba engleză, în curs de publicare
[6]
M. Lupşor, R. Badea, D. Mitrea,
C. Vicaş, S. Nedevschi, “Evaluarea şi caracterizarea steatozei,
fibrozei şi restructurării parenchimului hepatic cu ajutorul
ultrasonografiei şi a metodelor computerizate de analiză a imaginii”,
Capitol în M. Grigorescu, M. Beuran, “Actualităţi în patologia
ficatului” , ISBN 978-973-693-277-9, Editura Medicală Universitară
„Iuliu Haţieganu” Cluj-Napoca, 2008,
pp. 288-302, 15 pagini în limba română (lucrare cu caracter atât didactic,
cât şi ştiinţific)
[7]
Mitrea Alexandru, Nedevschi Sergiu, Ivan Mircea, Mitrea Delia, Gurzău Mircia, Lung Nicolaie, Cîmpean Dalia, “Modele deformabile 2D. Aplicații”,
Editura U.T.Press Cluj-Napoca, 2009,
106 pagini în limba romana, ISBN: 978-973-662-451-3 (lucrare cu caracter atât
didactic, cât şi ştiinţific); Contribuții în Capitolele 3,
4, 5; elaborarea integrală a Capitolului 7 (“Modelul programării
dinamice”) şi a Paragrafului 10.7 (“Metoda programării dinamice”)
[8]
Mitrea Alexandru, Nedevschi Sergiu, Mitrea
Delia, Inoan Daniela, Lung Nicolaie, Ivan Dumitru Mircea, Gurzău Octavian
Mircia, Mitrea Paulina, Cîmpean Dalia, “Modele deformabile 3D. Aplicaţii”,
Editura U.T.Press, Cluj-Napoca, 2010, 94 pagini, limba română, ISBN:
978-973-662-598-5 (lucrare cu caracter atât didactic, cât şi ştiinţific);
Contribuții în Capitolul 1 şi elaborarea integrală a Capitolului
3 (”Metode de segmentare a imaginilor bazate pe modele deformabile”)
Lucrările
cu caracter didactic sunt destinate în special nivelului studiilor de Master și
de Doctorat.
Alte
lucrări didactice
[1] D. Mitrea, C. Cenan, P. Mitrea,
„Relational Databases, SQL and Specific Data Structures, in Practice.
Database Laboratory Guide, 2nd year ”, Editura Mediamira, 2017, ISBN:
978-973-713-349-6, 69 pagini în limba engleză
[2] D. Mitrea, C. Cenan, P. Mitrea, „Database Laboratory Guide (Baze
de Date – îndrumător de
laborator)”, editura U.T.Press, Cluj-Napoca, 2012, ISBN: 978-973-662-750-7, 50
pagini în limba engleză; Varianta online: http://users.utcluj.ro/~dmitrea/Pagina_persDM/labs/DB_Laboratory.pdf
[3] Curs „Databases” – An II,
automatica, limba engleza, Autori: D.
Mitrea, C. Cenan, Universitatea Tehnică din Cluj-Napoca, 2011, Online:
http://users.utcluj.ro/~dmitrea/Pagina_persDM/DB_Course_2016.zip
[4] Curs „Baze de Date” – An II, automatica, limba
română, Autori: D. Mitrea, P.
Mitrea, Universitatea Tehnică din Cluj-Napoca, 2016, Online: http://users.utcluj.ro/~dmitrea/Pagina_persDM/BDCurs2016.zip
[5] Curs “Industrial
Informatics. C# Basics and Applications within Robotic Systems”; Autor: D.
Mitrea, Universitatea
Tehnică din Cluj-Napoca, 2012, Online: http://users.utcluj.ro/~dmitrea/Pagina_persDM/II.zip
[6] „Proiectarea Bazelor de
Date – lucrări de laborator”; Autori: D.
Mitrea, C. Cenan, Online:http://users.utcluj.ro/~dmitrea/Pagina_persDM/labs/Laborator_PBD.pdf
[7] “Administrarea Bazelor de Date – lucrări de
laborator”; Autori: D. Mitrea, P.
Mitrea,
Online: http://users.utcluj.ro/~dmitrea/Pagina_persDM/labs/Laborator_ABD.pdf
Aceste lucrări
sunt destinate nivelului studiilor de licenţa, secţiile calculatoare,
tehnologia informației şi roboți industriali, în limbile română și engleză.
Lucrări
(articole) ştiinţifice (89)
Articole/studii in extenso, publicate în reviste din
fluxul ştiinţific internaţional principal (33)
Articole în
reviste ISI (15)
[1] D. Mitrea,
R. Brehar, S. Nedevschi, M. Platon-Lupsor, M. Socaciu, R. Badea,
“Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations
of Conventional and Deep Learning Techniques", Sensors, Vol. 23,
No. 5, pp. 1-29, https://www.mdpi.com/1424-8220/23/5/2520
[ISI, Q2]
[2] D.
Mitrea, R. Badea, P. Mitrea, S. Brad, S. Nedevschi, “Hepatocellular
Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using
Advanced Machine Learning Methods”, Sensors,
Vol. 21, No. 6, pp. 1-31, 2021, https://doi.org/10.3390/s21062202
[ISI, Q2]
[3] C. Radu, P. Fisher, D.
Mitrea, I. Birlescu, T. Marita, F. Vancea, V. Florian, C. Tefas, R. Badea,
H. Ștefănescu, S. Nedevschi, D. Pisla, N. Al Hajjar, “Integration of
Real-Time Image Fusion in the Robotic-Assisted Treatment of Hepatocellular
Carcinoma, Biology-Basel, Vol. 9, No.11, pp. 1-13, Nov. 2020, ISSN: 2079-7737”, [ISI, Q1]
[4] R. Brehar, D. Mitrea, F. Vancea, T. Marita, S. Nedevschi, M. Lupsor Platon, M. Rotaru, R.Badea, “Comparison of
Deep-Learning and Conventional Machine-Learning Methods for the Automatic
Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images”, Sensors, Vol.20, No.
11,
2020, pp.
1-22, https://www.mdpi.com/1424-8220/20/11/3085/htm
[ISI, Q1]
[5] S. Nicoara, S. Szamoskozi, D.
Mitrea, D. Leucuta, “Concept Mapping, an Effective Tool for Long-Term
Memorization of Anatomy-A Quasi-Experimental Research Carried out among 1st Year General Medicine Students”, European
Journal of Investigation in Health Psychology and Education, Vol. 10, No.
1, pp. 530-543, 2020, ISSN: 2254-9625 [ISI, Q2]
[6] D. Mitrea, L. Tamas, “Manufacturing Execution
System Specific Data Analysis-Use Case With a
Cobot”, IEEE Access,
Vol. 6, pp. 50245-50259, 2018, ISSN: 2169-3536 https://ieeexplore.ieee.org/document/8457197
[ISI, Q2]
[7] D. Petcu, D. Mitrea, C.
Bondor, E. Perciun, “The potential of ultrasonography in the evaluation of foot
orthotics therapy”, Medical Ultrasonography Journal, Vol.19, No. 4, pp.
416-422, 2017, ISSN: 2066-8643
[8] D. Mitrea, S. Nedevschi, M. Abrudean, M. Platon-Lupsor, R.
Badea, “The
Role of the Textural Microstructure Co-occurrence Matrices in the Automatic
Detection of the Cirrhosis Severity Grades from Ultrasound Images”, Journal of Control Engineering and
Applied Informatics
(ISI), ISSN: 1454-8658, Vol. 18, Nr.4, pp.
96-106, decembrie 2016, Online: http://www.ceai.srait.ro/index.php?journal=ceai&page=article
&op=view&path%5B%5D=3561
[9] D. Mitrea, S. Nedevschi, M. Socaciu, R. Badea, “The role of the
superior order GLCM in the characterization and recognition of the liver tumors
from ultrasound images”, Radioengineering
(ISI), ISSN: 1210-2512, Vol. 21, Nr.1, Partea 1: “Special Issue on Signal
Processing”, pp. 79-85, aprilie 2012, Online: http://www.radioeng.cz/papers/2012-1.htm,
[10] D. Mitrea, P. Mitrea, S.
Nedevschi, R. Badea, M. Lupşor, M. Socaciu, A. Golea, C. Hagiu, L.
Ciobanu, “Abdominal tumor characterization and recognition using superior order
cooccurrence matrices, based on ultrasound images”, Computational and Mathematical Methods in Medicine – Jurnal Hindawi
(ISI), ISSN 1748-670X, Vol. 2012, 17 pages,
doi:10.1155/2012/348135 Online: http://www.hindawi.com/
journals/cmmm/2012/348135/
[11] A. Mesaros,
S. Sava, D. Mitrea, C. Gasparik, M. Mesaros, C. Alb, M. Badea, D. Dudea,
“In vitro assessment of tooth color changes due to orthodontic treatment using
knowledge discovery methods”, Journal of Adhesion Science and Technology (ISI), ISSN: 0169-4243 , Vol. 29, Nr. 20,
pp. 2256-2279, 2015 [ISI, Q2], Online: http://www.tandfonline.com/doi/abs/10.1080/01694243.2015.1062067
[12] R. Chifor, M. Badea, D. Mitrea, I. Badea, M. Crisan, I. Chifor, R.
Avram, „Computer-assisted identification of the gingival sulcus and periodontal
epithelial junction on high-frequency ultrasound images”, Medical
Ultrasonography Journal (ISI), ISSN: 1844-4172, Vol. 17, Nr. 3, pp.
273-279, 2015, http://www.medultrason.ro/computer-assisted-identification-of-the-gingival-sulcus-and-periodontal-epithelial-junction-on-high-frequency-ultrasound-images/index.htm
[13] A.I. Mitrea, R. Badea, D.
Mitrea, S. Nedevschi, P. Mitrea, D. M. Ivan, O. M. Gurzău, “Iterative methods for obtaining energy-minimizing
parametric snakes with applications to medical imaging”, Computational and
Mathematical Methods in Medicine (ISI), ISSN: 1748-670X, Vol.
01, 11 pagini, 2012 Online: http://www.hindawi.com/journals/cmmm/2012
/918510/
[14] A. I. Mitrea,
D. Mitrea, “Two-sided estimates of projection operators norm, with applications
to deformable models”, Journal of
Mathematical Inequalities & Applications (ISI), ISSN: 1331-4343, Vol. 12, Nr. 4, pp.
845-852, octombrie 2009, Online: http://mia.ele-math.com/12-68/Two-sided-estimates-of-projection-operators-norm,-with-applications-to-deformable-models
[ISI – Q2]
[15] H. Stefanescu, M. Lupsor, O. Dancea, T. Marita, T. Suteu, D. Capatana, R. Cazan, D. Mitrea, R. Badea, „Evaluation of an ultrasound telescreening network for hepatocellular carcinoma”, in Journal of Hepatology (ISI), ISSN: 0168-8278, vol. 48, pp. S157, 2008, http://www.journal-of-hepatology.eu/article/S0168-8278(08)60409-2/abstract [ISI, Q1]
Articole în
jurnale CNCSIS B+(11)
[1] D. Mitrea, S. Ndevschi, M. Abrudean, R. Badea, „Detecting the
evolution phases of the hepatocellular carcinoma from ultrasound images, using
generalized co-occurrence matrices”, Acta
Electrotehnica, ISSN: 1841-3323,
Vol. 56,
Nr. 1-2, pp.46-54, 2015
[2] D. Mitrea, S. Nedevschi, M. Abrudean, „Abdominal tumor recognition
from ultrasound images using Complex Extended Textural Microstructure
Co-occurrence Matrices”, Automation, Computers, Applied Mathematics
(ACAM), ISSN: 1221-437X,
Vol. 23, Nr.1, pp. 9-19, 2014
[3] D. Mitrea, S. Nedevschi, M.
Lupsor, M. Socaciu, R. Badea, „Improving
the textural model of the hepatocellular carcinoma through multiclass division
using clustering methods”, Automation, Computers, Applied Mathematics
(ACAM), ISSN: 1221-437X, Vol. 19, Nr. 3,
pp. 409-415, 2010
[4] D. Mitrea, P. Mitrea, R. Badea, M.
Socaciu, L. Ciobanu, A. Golea, C. Hagiu, A. Seicean, „Relevant feature
selection and automatic recognition of the inflammatory bowel diseases and
colon cancer from B-mode and contrast-enhanced ultrasound images”, Automation, Computers, Applied Mathematics
(ACAM) , ISSN: 1221-437X,
Vol. 19, Nr. 3, pp. 403-409, 2010
[5] D. Mitrea,
S. Nedevschi, M. Lupsor, M. Socaciu, R. Badea, “Improving the imagistic
textural model of the hepatocellular carcinoma through, dimensionality
reduction techniques and classifier combinations”, Automation,
Computers, Applied Mathematics (ACAM), ISSN: 1221-437X, Vol. 18, Nr.
2, pp. 218-223, 2009
[6] D. Mitrea, S. Nedevschi, P.
Mitrea, M. Lupşor, M. Socaciu, T. Pop, O. Moşteanu, R. Badea, „The
Imagistic Textural Model of the Hepatocellular Carcinoma. Comparisons,
discussions, conclusions”, Automation
Computers Applied Mathematics (ACAM),
ISSN: 1221-437X, Vol. 17,
Nr. 1, pp. 28-35, 2008
[7] R. Badea, T. Pop, M.
Socaciu, O. Moşteanu, C. Caraiani, M. Lupşor, P. Raica, M.
Mănişor, L. Miclea, D. Mitrea, M. Lupşor, S. Nedevschi, „The value of the ultrasound image
processing procedures, combined with circulation assessment and mathematical modelling techniques
for HCC characterization, nature specification and disease prognosis”, Automation Computers Applied Mathematics
(ACAM), , ISSN: 1221-437X, Vol. 17, Nr. 1, pp. 18-27, 2008
[8] S. Nedevschi, I. Salomie, R. Potolea, M. Dînşoreanu, R. Badea, A. Floares, I. Coman, B.
Petruţ, D. Mitrea, C. Vidrighin-Bratu, O. Dancea, C.-B. Pop,
„Intelligent system for assisting the therapeutic decision at patients with
prostate cancer – INTELPRO”, Automation
Computers Applied Mathematics (ACAM), , ISSN: 1221-437X, Vol. 17, Nr. 1, pp. 36-46, 2008
[9] R. Badea, M. Lupşor,
H. Stefănescu, C. Vicaş, D.
Mitrea, M. Socaciu, 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”, Automation
Computers Applied Mathematics (ACAM),
ISSN: 1221-437X, Vol.
17, Nr. 1, pp. 1-11, 2008
[10]
D. Mitrea, S. Nedevschi, M.Lupsor, R. Badea, I. Coman „Exploring the
textural parameters of ultrasound images to build an imagistic model for
prostatic adenocarcinoma (ADKP)”, Automation, Computers and Applied Mathematics (ACAM), ISSN: 1221-437X, Vol. 16 , Nr. 3, pp.11-19, 2007
[11]
D. Mitrea, S. Nedevschi, P. Mitrea, M. Lupsor, R. Badea, M. Grigorescu, S.
Tripon, C. Radu, “Texture-based Methods and Data-Mining in
Ultrasound Images for Diffuse Liver Disease Severity Characterization”, Acta Electrotehnica (Special Issue), ISSN: 1841-3323, Vol. 48, Nr. 4, pp.
211-216, 2007
Articole în alte jurnale (7)
[1] D. Mitrea, S. Nedevschi, R. Badea,
“The role of the complex
textural microstructure co-occurrence matrices, based on Laws’ features, in the
characterization and recognition of some pathological structures, from
ultrasound images”, International Journal
of Advances in Telecommunications, Electrotechnics, Signals and Systems
(IJATES), ISSN: 1805-5443, Brno, Cehia, Vol. 5, Nr. 2, pp. 61-67,
2016, http://www.ijates.org/index.php/ijates/article/view/144 [CrossRef,
WorldCat, DOAJ]
[2] D. Mitrea, S. Nedevschi, R. Badea,
“Software system for the
automatic and computer assisted diagnosis of some severe abdominal affections,
based on ultrasound images”, Revista
Română de Interacțiune Om-Calculator, ISSN: 1843-4460, Vol.9,
Nr.1, pp. 53-70, 2016, http://rochi.utcluj.ro/rrioc/articole/RRIOC-9-1-Mitrea.pdf
[Index
Copernicus, EBSCO]
[3] D.
Mitrea, S. Nedevschi, M.
Abrudean, R. Badea, “Classification of the liver tumors Using
Co-Occurrence Matrices of textural Microstructures”, Journal of Communication and Computers, ISSN 1548-7709, Vol. 12, Nr. 1, pp. 6-12, 2015 [EBSCO]
[4] D.Mitrea, S.
Nedevschi, C. Cenan, M. Lupsor, R. Badea, "Exploring Texture-Based
Parameters, Noninvasive Characterization and Modeling of Diffuse Liver Diseases
and Liver Cancer from Ultrasound Images", WSEAS Transactions on Computers, ISSN: 1109-2750, Vol. 6, Nr.2, pp. 283-291, februarie 2007 [SCOPUS]
[5] D. Mitrea, S. Nedevschi, M.
Lupşor, R. Badea, “Textural models based on ultrasound images for the
detection of hepatocellular carcinoma in early and advanced stages”, NAUN International Journal of Computers, , ISSN: 1998-4308, Vol. 1, Nr. 2, pp. 66-73,
2008
[6] Radu Badea, Monica Lupsor, Horia Stefanescu, Sergiu
Nedevschi, Delia Mitrea, Alexandru
Serban, Tudor Vasile, “Ultrasonography Contribution to the Detection and
Characterization of Hepatic Restructuring: Is the Virtual Biopsy Taken into Consideration?”, Journal of Gastrointestinal and liver diseases (JGLD), ISSN:
1842-1121, Vol. 15, Nr.2, pp.189-194, 2006, Online: http://www.ncbi.nlm.nih.gov/
pubmed/16802017 [Scopus]
[7] S. Nedevschi, D. Mitrea, “Contour
detection based on active contour models”, în Bulletin of Applied Mathematics and Computer Science, vol. 2275,
pp. 107-118, 2003.
Publicaţii in extenso,
apărute în lucrări ale principalelor conferinţe internaţionale de specialitate (49)
Lucrări
la conferințe indexate ISI şi BDI (46)
ISI
Proceedings (33)
[1]
D. Mitrea, R.
Brehar, R. Itu, S. Nedevschi, M. Socaciu, R. Badea, "Pancreatic Tumor
Recognition from CT Images through Advanced Deep Learning Techniques",
IEEE International Conference on Automation, Quality and Testing, Robotics
(AQTR 2024), Cluj-Napoca, May 16-18, 2024, Proceedings, pp. 299-304 (IEEE, ISI Proceedings).
[2]
D.
Mitrea,
P. Mitrea, E. Barna, “Employing Clustering Techniques and Association Rules for
Client Segmentation and Attribute Dependency Mining in the Domain of Car
Insurance”, Proc. of 2024 World Conference of AI-Powered Innovation and
Inventive Design (TFC-TRAI 2024), Vol. 736, pp. 232-246 (ISI Proceedings)
[3]
D. Mitrea,
R. Brehar, C. Mocan, S. Nedevschi, M. Socaciu, R. Badea, “Hepatocellular
carcinoma recognition from ultrasound images by fusing convolutional neural
networks at decision level”, The 46th International Conference on
Telecommunications and Signal Processing (TSP 2023), 12-14 July 2023,
Proceedings, pp. 238-243. (ISI Proceedings)
[4] D. Bacea, D. Mitrea, S. Nedevschi, R. Badea,
“Adversarial Graph Learning and Deep Learning Techniques for improving
diagnosis within CT and Ultrasound images”, International Conference on
Intelligent Computer Communication and Processing (ICCP), September 3-5, 2020,
Cluj-Napoca, Proceedings, pp. 449-456.
[5] D.
Mitrea, T. Marita, F. Vancea, S. Nedevschi, P. Mitrea, G. M. Neamt, S.
Timoftei, V. Florian, C. Radu, M. Socaciu, H. Stefanescu, N.Al Hajjar, “Towards
building a computerized system for modelling advanced hcc tumors, in order to
assist their minimum invasive surgical treatment”, European Conference on
Mechanism Science (EuCoMeS 2020). New Trends in Mechanism and Machine Science,
Springer, pp. 219-227, 2020 (ISI Proceedings)
[6]
F. Vancea, D. Mitrea, S. Nedevschi, M. Rotaru, H. Stefanescu, R.
Badea, “Hepatocellular Carcinoma Segmentation within Ultrasound Images using
Convolutional Neural Networks”, Proceedings of IEEE 15th International
Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-
Napoca, Romania, September 05-07, 2019, pp. 491-497.
[7]
R. Brehar, D. Mitrea, S. Nedevschi, M. Platon-Lupsor, M. Rotaru,
R. Badea, “Hepatocellular Carcinoma Recognition in Ultrasound Images Using
Textural Descriptors and Classical Machine Learning”, Proceedings of IEEE 15th
International Conference on Intelligent Computer Communication and Processing
(ICCP) Location: Cluj Napoca, Romania, September 05-07, 2019,
pp. 491-497 ,497,N 78-1-7281-4914-1
[8]
D. Mitrea, L. Tamas, “MES Specific Data Analysis. Case Study with the Baxter
Robot”, Proceedings of 2018 20th International Symposium on Symbolic
and Numeric Algorithms for Scientific Computing (SYNASC 2018), pp. 296-301.
[9] D.
Mitrea,
S. Nedevschi, R. Badea, „Automatic
Recognition of the Hepatocellular Carcinoma from Ultrasound Images using
Complex Textural Microstructure Co-Occurrence Matrices (CTMCM)”, Proceedings of the 7th International Conference on Pattern
Recognition Applications and Methods - Volume 1: ICPRAM, pp.
178-189, 2018, Funchal, Madeira,
Portugal, ISBN: 978-989-758-276-9
[10]
D. Mitrea, R. Brehar,
P. Mitrea, S. Nedevschi, M. Platon(Lupşor), R. Badea, “The Role of Convolutional Neural Networks in the Automatic
Recognition of the Hepatocellular Carcinoma, Based on Ultrasound Images”, 6th International Conference on
Advancements of Medicine and Health Care through Technology (MediTech) 17–20
October 2018, Cluj-Napoca, Romania; publicată în IFMBE Proceedings, book
series, Editura Springer, vol. 71, pp. 169-175 (mai 2019), https://link.springer.com/chapter/10.1007/978-981-13-6207-1_27 [Scopus]
[11]
D. Mitrea, S. Nedevschi, P. Mitrea, M. Platon(Lupsor), R. Badea, “The role of the
cooccurrence matrix based on complex extended microstructures in discovering
the cirrhosis severity grades within US images”, 10th International Congress on
Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI
2017, pp.1-6, Shanghai, China, October
14-16, 2017. IEEE 2017, ISBN 978-1-5386-1937-7
[12] D. Mitrea, S. Nedevschi, M. Abrudean, R. Badea,
“Colorectal cancer
recognition from ultrasound images, using complex textural microstructure
co-occurrence matrices, based on Laws’ features”, The 38th International
Conference on Telecommunications and Signal Processing, July 9-11, 2015, Praga,
pp. 458-462
[13] D. Mitrea, S. Nedevschi, R. Badea, “The role of the
Textural Microstructure Cooccurrence Matrices in the classification of the
abdominal tumors, based on ultrasound images”, The 2014 IEEE 10th International
Conference on Intelligent Computer Communication and Processing (ICCP 2014),
September 4-6, 2014, Cluj-Napoca, pp. 187-190
[14] A. Mitrea, S. Nedevschi, D. Mitrea,
P. Mitrea, R. Badea, “Diseased Tissue Area Detection and Delimitation, by
Fusion between Finite Difference Methods and Textural Analysis”, The 2014 IEEE
International Conference On Automation, Quality and Testing, Robotics (AQTR
2014), 22-24 May, 2014, Cluj-Napoca, pp.1-5.
[15] D.
Mitrea, M. Platon-Lupsor,
S. Nedevschi, R. Badea, “Discovering the Cirrhosis Grades from Ultrasound Images by Using
Textural Features and Clustering Methods”, The 2013 36th International Conference on Telecommunications and Signal Processing (TSP 2013), 2-4 iulie 2013, Roma, pp. 633-637.
[16] D. Mitrea, S. Nedevschi, R. Badea, “The role of the
multiresolution textural features in improving the characterization and
recognition of the liver tumors, based on ultrasound images”, The 14th
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing (SYNASC 2012), 26-29 septembrie 2012, Timişoara, pp. 192-199.
[17] D. Mitrea, P. Mitrea, R. Badea, M. Socaciu, L.
Ciobanu, A. Golea, C. Hagiu, A. Seiceanu, “Texture-Based Methods and
Dimensionality Reduction Techniques Involved in the Detection of the
Inflammatory Bowel Diseases from Ultrasound Images”, International Conference on
Advancements of Medicine and Health Care through Technology (MEDITECH 2011), 29
august – 2 septembrie 2011, Cluj-Napoca, vol. 36, pp. 220-225.
[18] Delia Mitrea, Sergiu Nedevschi, Mihai Socaciu, Radu
Badea, “The Role of
the Feature Extraction Methods in Improving the Textural Model of the
Hepatocellular Carcinoma, Based on Ultrasound Images”, International Conference
on Digital Information Processing and Communications (ICDIPC 2011), 7-9 iulie
2011, Ostrava, Cehia; publicat în Communications in Computer and Information Science, editura
Springer, vol. 188, pp.
496-509, 2011.
[19] D. Mitrea, S. Nedevschi, R. Badea,
“The Role of The Superior
Order GLCM in Improving The Automatic Diagnosis of The Hepatocellular Carcinoma
Based on Ultrasound Images”, The 2011 34th International Conference on
Telecommunications and Signal Processing (TSP 2011), 18-20 august 2011, Budapesta,
pp. 602-606.
[20] P.
Mitrea, D. Mitrea, “The Role That
Web 2.0 Currently Has and Could Have in the Future in Supporting the Teaching of
ICT Design for All”, Technology Enhanced Learning: Quality of Teaching and
Educational Reform, Vol. 73, pp. 397-404, 2010.
[21] M.
Crisan, C. Cattani, R. Badea, P. Mitrea, M. Florea, D. Crisan, D. Mitrea, R. Bucur, G. Checiches,
“Modeling Cutaneous Senescence Process”, International Conference on
Computational Science and its Applications (ICCSA 2010) Fukuoka, Japonia, 23-26
martie 2010, vol. 6017, pp. 215-224.
[22] D. Mitrea, S.
Nedevschi, M. Lupsor, M. Socaciu, R. Badea, “Advanced classification methods for
improving the automatic diagnosis of the hepatocellular carcinoma, based on
ultrasound images”, The 2010 IEEE International Conference on Automation,
Quality and Testing, Robotics, (AQTR 2010), 28-30 mai 2010, Cluj-Napoca, vol.
2, pp. 265-270.
[23] D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, R.
Badea, “Classification
of the Hepatocellular Carcinoma in Ultrasound Images Based on the Imagistic
Textural Model of This Tumor”, International Conference on Advancements of
Medicine and Health Care Through Technology (MEDITECH 2009), 23-26 septembrie
2009, Cluj-Napoca, vol. 26, pp. 267-272.
[24] A. Mitrea, D. Ivan, D. Mitrea, D.
Inoan, P. Mitrea “Deformable Variational Models Used in
Medical Imaging”, International Conference on Advancements of Medicine and
Health Care Through Technology (MEDITECH 2009), 23-26 septembrie 2009,
Cluj-Napoca, vol. 26, pp. 273-278.
[25] D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, R.
Badea “Improving the
textural model of the hepatocellular carcinoma using dimensionality reduction
methods”, The 2009 2nd International Congress on Image and Signal Processing
(CISP 2009), 17-19 octombrie 2009, Tianjin , China, Proceedings, Vols. 1-9, pp.
1083-1087.
[26] P.
Mitrea, D. Mitrea, O. Buza, “MLG -
Multimedia On-Line Lesson Generator, 10th European Conference for the
Advancement of Assistive Technology”, Florența, Italia, august 2009,
publicat în seria: Assistive Technology Research Series, Vol. 25, pp. 607-612, 2009.
[27] D. Mitrea, S. Nedevschi, B. Petrut, I. Coman,
“The Imagistic Textural Model
of the Prostatic Adenocarcinoma”, The 2008 IEEE 4th International Conference on
Intelligent Computer Communication and Processing (ICCP 2008), 28-30 august
2008, Cluj-Naoca, pp. 107-114.
[28] D. Mitrea, S. Nedevschi, M. Lupsor, R. Badea,
“Exploring the textural
parameters obtained from ultrasound images for modeling the liver pathological
stages in the evolution towards hepatocellular carcinoma”, The 2008 IEEE
International Conference on Automation, Quality and Testing, Robotics (AQTR 2008),
Theta 16th Edition, Vol. III, 22-25, mai 2008, pp. 128-133.
[29] S. Nedevschi, C. Vicas, D. Mitrea,
M. Lupsor, M. Grigorescu, R. Badea, “Usefulness of Attenuation And
Backscattering Coefficients in Investigating Complex Non-Alcoholic
Steatohepatitis From Ultrasound Images, Preliminary Results”, Conference on
Analysis of Biomedical Signals and Images, 29 iunie-30 iulie 2008, Brno, Cehia,
pp. 299-303.
[30] D. Mitrea, S. Nedevschi,
M. Lupsor, R. Badea, “Building the imagistic textural model of the liver
pathological stages for the early detection of hepatocellular carcinoma based
on ultrasound images”, The 7th WSEAS International Conference on
applied Computer and Applied Computational Science (ACACOS 2008), Hangzhou,
China, pp. 764-771, 2008.
[31] D. Mitrea, S. Nedevschi, M. Lupsor, H. Stefanescu,
R. Badea, “Comparing
Various Feature Selection Methods for Building the Textural Model of
Hepatocellular Carcinoma based on Ultrasound Images” Conference on Analysis of
Biomedical Signals and Images, 29 iunie-30 iulie, 2008, Brno, Cehia, pp. 502-509.
[32] M. Lupsor, R.
Badea, S. Nedevschi, D. Mitrea, M. Florea, “Ultrasonography
contribution to hepatic steatosis quantification. Possibilities of improving
this method through computerized analysis of ultrasonic image”, The 2006
IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics
(AQTR 2006), Vol 2, pp. 478-483.
[33] A. Manciu, M. Popa, D. Mitrea, D. Căpățîna,
“Parameters monitoring solutions for the quality control of water used in
healthcare units”, The 2006 IEEE-TTTC International Conference on Automation,
Quality and Testing, Robotics (AQTR 2006), Vol 2, pp. 457-462.
Conferințe
BDI (13)
[1]
A.
G. Tornea, D. Mitrea, “Comparative Analysis of Convolutional Neural Networks
for Facial Expression Recognition”, 2025 18th International Congress on Image
and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),
China, October, 2025 [IEEE, Scopus]
[2]
D. Mitrea, V. Timu, C. Mocan, S. Nedevschi, A.
Florian, M. Socaciu, R. Badea, “Liver tumor segmentation from Computed
Tomography images through Convolutional Neural Networks”, the 2023 9th International Conference on
Systems and Informatics (ICSAI 2023), December 16-18,
2023, Changsha, China [IEEE, Scopus]
[3]
R.
Brehar, D. Mitrea, S. Nedevschi, T. Moisoiu, F. Elec, M. Socaciu,
“Kidney Tumor Segmentation and Grade Identification in CT Images”, IEEE
International Conference on Intelligent Computer Communication and Processing
(ICCP 2023), Cluj-Napoca, October 26-28, 2023 [IEEE, Scopus]
[4]
D. Mitrea, R. Brehar, S. Nedevschi, M. Socaciu, R. Badea,
"Hepatocellular Carcinoma recognition from ultrasound images through
Convolutional Neural Networks and their combinations", International
Conference on Advancements of Medicine and Health care through Technology,
MediTech 2022, Cluj-Napoca, 20-22 Oct 2022, IFMBE Proceedings (IFMBE, volume
102), pp. 3-11, Springer [Scopus], https://link.springer.com/chapter/10.1007/978-3-031-51120-2_1
[5] D. Mitrea,
C. Mendoiu, P. Mitrea, S. Nedevschi, M. Lupşor-Platon, M. Rotaru, R.
Badea, “HCC recognition within B-mode and CEUS images using traditional and
deep learning techniques”, International Conference on Advancements of Medicine
and Health Care through Technology (MediTech 2020), IFBME Proceedings
(Springer), pp. 113-120 [Scopus], https://link.springer.com/chapter/10.1007/978-3-030-93564-1_13
[6]
D. Mitrea, S. Nedevschi,
P. Mitrea, M. Platon Lupsor., R. Badea, “HCC Recognition Within Ultrasound
Images Employing Advanced Textural Features with Deep Learning Techniques”,
Proceedings - 2019 12th International Congress on Image and Signal Processing,
BioMedical Engineering and Informatics, CISP-BMEI, 2019 [IEEE, Scopus]
[7]
D.
Mitrea, S. Nedevschi, R.
Badea, “The Role of the
Complex Extended Textural Microstructure Co-occurrence Matrix in the
Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound
Images”, The 5th International Conference on Pattern Recognition
Applications and Methods
(ICPRAM 2016), 24-26 februarie 2016, Roma, Italia, pp. 698-705 [Scopus]
[8]
D.
Mitrea, S. Nedevschi, R. Badea,
“Classification of the liver
tumors using multiresolution, superior order EOCM textural features”, The 3rd
International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014),
6-8 martie 2014, Angers, Franta, pp. 799-804. [Scopus]
[9]
D.
Mitrea, M. Socaciu, R. Badea, A. Golea, “Texture
based characterization and automatic diagnosis of the abdominal tumors from
ultrasound images using third order GLCM features”, The 4th International
Congress on Image and Signal Processing (CISP 2011), 17-19 octombrie 2011, Shanghai, China, vol. 3, pp. 1558-1562.
[IEEE, Scopus]
[10]
D.
Mitrea, S. Nedevschi, R. Badea,
“The role of the superior
order GLCM and of the generalized cooccurrence matrices in the characterization
and automatic diagnosis of the hepatocellular carcinoma, based on ultrasound
images”, The 7th IEEE International Conference on Intelligent Computer Communication
and Processing, (ICCP 2011), 25-27 august 2011, Cluj-Napoca, pp. 197-204.
[IEEE, Scopus]
[11]
D.
Mitrea, P. Mitrea, R. Badea, M. Socaciu, L.
Ciobanu, A. Golea, C. Hagiu, A. Seicean, “Computerized methods for the
assessment and characterization of the inflammatory bowel diseases and colon
cancer from ultrasound and endoscopic images”, 10th WSEAS International
Conference on EHAC'11 and ISPRA'11, 3rd WSEAS Int. Conf. on Nanotechnology,
Nanotechnology'11, 6th WSEAS Int. Conf. on ICOAA'11, 2nd WSEAS Int.Conf. on
IPLAFUN'11, 20-22 februarie 2011, Cambridge, pp. 336-343.
[ACM Digital Library, Scopus]
[12]
D.
Mitrea, S.
Nedevschi, M. Lupsor, M. Socaciu, R. Badea, ”Experimenting various classification
techniques for improving the automatic diagnosis of the malignant liver tumors,
based on ultrasound images”, 3rd International Congress on Image and Signal
Processing (CISP 2010), 16-18 octombrie 2010, Yantai, China, vol. 4, pp.
1853-1858. [IEEE, Scopus]
[13]
D.
Mitrea, S. Nedeveschi, C. Cenan, M. Lupsor, R. Badea, “Exploring texture-based parameters
for noninvasive detection of diffuse liver diseases and liver cancer from
ultrasound Images”, The 8th WSEAS International Conference on Mathematical
Methods and Computational Techniques in Electrical Engineering (MMCTEE 2006),
Bucureşti, pp. 259-265 [ACM Digital Library]
Conferințe internaționale neindexate
(3)
[1] D.Mitrea, S.
Nedevschi, D. Gorgan, „Hand Segmentation in cluttered scenes and trajectory prediction considerations for
gesture recognition”, 2nd Balkan Conference in Informatics (BCI 2005), Ohrid,
Macedonia, 17-19 noiembrie 2005, pp.
275- 283
[2] D. Mitrea, S. Nedevschi,
B. Fratila, M. Lupsor, „Texture-based methods in biomedical
image recognition of diffuse liver diseases”, International Conference on
System Theory (SINTES 2005), Craiova, 2005, vol. 12, pp. 20-22(Google Scholar)
[3] D. Mitrea, S. Nedevschi, „Road Quality Evaluation and Road Material Recognition using
3D textons”, 8-th International Conference of Intelligent Engineering
Systems (INES 2004), Cluj-Napoca,
România, septembrie 2004, Editura U.T.Press Cuj-Napoca, pp.236-241
Alte publicaţii (7)
[1] D. Mitrea, S. Nedevschi, “Sistem
Software pentru Diagnosticarea Automată şi Asistată de Calculator a
Afecţiunilor Tumorale, pe Baza Imaginilor Ultrasonografice”, Conferința Naționala de Interacțiune
Om-Calculator (RoCHI 2013), septembrie 2013,
Cluj -Napoca, pp. 133-138 (index Copernicus)
[2] D. Mitrea, S. Nedevschi, D.
Gorgan, “Recunoasterea expresiei faciale prin metode ale viziunii
computerizate”, Conferința
Naționala de Interacțiune Om-Calculator (RoCHI 2010);
Număr special în Revista Română de Interacțiune Om-Calculator
(RRIOC), Vol. 3, 2010, pp. 29-32 (index Copernicus)
[3]
D. Mitrea, S
Nedevschi, D Gorgan, “Evaluarea stării emoţionale pe baza
poziţiei corpului uman, prin metode ale viziunii computerizate”, Conferința Naționala de Interacțiune
Om-Calculator, RoCHI 2009; Număr special în
Revista Română de Interacțiune Om-Calculator (RRIOC), Vol. 2, 2009,
pp. 73-76 (index Copernicus).
[4] D. Mitrea,
S. Nedevschi, D. Gorgan, “Recunoaşterea gesturilor dinamice:
modalităţi de recunoaştere a mişcării mâinii”, Conferința Naționala de Interacțiune
Om-Calculator (RoCHI 2007), 20-21 septembrie 2007, Constanţa, pp. 23-26 index Copernicus)
[5] D. Mitrea, S. Nedevschi, D.
Gorgan, „Metode de recunoaştere a formei şi orientării mâinii în
contextul recunoaşterii gesturilor”, A Treia Conferință Națională
de Interacțiune Om-Calculator, Academia de Studii Economice,
Bucureşti, 21-22 Septembrie 2006, Volumul de Lucrări al Celei de-a
Treia Conferințe Naționale de Interacțiune Om-Calculator (RoCHI 2006),
pp. 25-29 index Copernicus)
[6] D. Mitrea, S. Nedevschi, D. Gorgan, „Detecția mâinii într-o scenă
încărcată de obiecte, în scopul recunoaşterii gesturilor”, A
doua Conferință Națională de Interacțiune
Om-Calculator, Cluj-Napoca, 15-16 septembrie 2005, Volumul de lucrări al celei de-a doua Conferințe
Naționale de Interacțiune Om-Calculator (RoCHI 2005),
pp. 147-150 (index Copernicus)
[7] D. Mitrea, D. Gorgan, „Comportament
Adaptiv pentru Interfețe Utilizator Avansate. Comunicarea prin Intermediul Gesturilor”, Volumul
de lucrări al Primei Conferințe Naționale de Interacțiune Om-Calculator
(RoCHI 2004), Universitatea
Politehnică din Bucureşti 23-24 Septembrie 2004, Editura Printech,
Bucureşti, 2004, pp. 33-42 (index
Copernicus)
Cluj-Napoca,
26.05.2026