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Raluca Brehar

Raluca Didona Brehar

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affiliation (PhD 2015): Technical University of Cluj-Napoca, department of computer science, Romania

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2020 – today

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2024
[c21]
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Delia Mitrea, Raluca Brehar, Razvan Itu, Sergiu Nedevschi, Mihai Adrian Socaciu, Radu Badea:
Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques. AQTR 2024: 1-6
2023
[j3]
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Delia Alexandrina Mitrea, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor Platon, Mihai Adrian Socaciu, Radu Badea:
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. Sensors 23(5): 2520 (2023)
[c20]
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Raluca Brehar, Adrian Groza, Ioana Damian, George Muntean, Simona Delia Nicoara:
Age-Related Macular Degeneration Biomarker Segmentation from OCT images. CSCS 2023: 444-451
[c19]
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Raluca Didona Brehar, Delia Alexandrina Mitrea, Sergiu Nedevschi, Tudor Moisoiu, Florin Ioan Elec, Mihai Adrian Socaciu:
Kidney Tumor Segmentation and Grade Identification in CT Images. ICCP 2023: 293-300
[c18]
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Raluca Didona Brehar, George Coblisan, Attila Füzes, Radu Danescu:
Driver Attention Estimation Based on Temporal Sequence Classification of Distracting Contexts. ICINCO (1) 2023: 578-585
[c17]
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Delia Mitrea, Raluca Brehar, Cristinel Mocan, Sergiu Nedevschi, Mihai Adrian Socaciu, Radu Badea:
Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level. TSP 2023: 238-243
2022
[c16]
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Raluca Didona Brehar, Rares Ovidiu Babut, Attila Füzes, Radu Danescu:
Outdoor Traffic Scene Risk Estimation in the Context of Autonomous Driving. ICCP 2022: 129-134
2021
[j2]
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Raluca Didona Brehar, Mircea Paul Muresan, Tiberiu Marita, Cristian-Cosmin Vancea, Mihai Negru, Sergiu Nedevschi:
Pedestrian Street-Cross Action Recognition in Monocular Far Infrared Sequences. IEEE Access 9: 74302-74324 (2021)
[c15]
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Raluca Didona Brehar, Cristian-Cosmin Vancea, Mircea Paul Muresan, Sergiu Nedevschi, Radu Danescu:
Pose Based Pedestrian Street Cross Action Recognition in Infrared Images. ICCP 2021: 41-46
2020
[j1]
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Raluca Brehar, Delia Alexandrina Mitrea, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor Platon, Magda Rotaru, Radu Badea:
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors 20(11): 3085 (2020)

2010 – 2019

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2019
[c14]
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Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Cristian Vancea, Sergiu Nedevschi:
Object Detection in Monocular Infrared Images Using Classification - Regresion Deep Learning Architectures. ICCP 2019: 207-212
[c13]
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Raluca Brehar, Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Magda Rotaru, Radu Badea:
Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning. ICCP 2019: 491-497
2018
[c12]
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Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi:
A Deep Learning Approach For Pedestrian Segmentation In Infrared Images. ICCP 2018: 253-258
2016
[c11]
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Raluca Brehar, Cristian Vancea, Florin Oniga, Mihai Negru, Sergiu Nedevschi:
A study of the impact of HOG and LBP based temporal association on far infrared pedestrian detection. ICCP 2016: 263-268
2015
[c10]
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Raluca Brehar, Cristian Vancea, Tiberiu Marita, Ion Giosan, Sergiu Nedevschi:
Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors. ICCP 2015: 385-392
2014
[c9]
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Raluca Brehar, Sergiu Nedevschi:
Pedestrian detection in infrared images using HOG, LBP, gradient magnitude and intensity feature channels. ITSC 2014: 1669-1674
[c8]
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Raluca Brehar, Sergiu Nedevschi:
Scan window based pedestrian recognition methods improvement by search space and scale reduction. Intelligent Vehicles Symposium 2014: 529-534
2013
[c7]
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Raluca Brehar, Sergiu Nedevschi:
Pedestrian detection in traffic scenes using multi-attitude classifiers. ITSC 2013: 1077-1082
2011
[c6]
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Ioan Toma, Mihai Chezan, Raluca Brehar, Sergiu Nedevschi, Dieter Fensel:
SIM, a Semantic Instrumentation and Monitoring solution for large scale reasoning systems. ICCP 2011: 151-156
[c5]
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Raluca Brehar, Ion Giosan, Andrei Vatavu, Mihai Negru, Sergiu Nedevschi:
Modeling the behavior of large scale reasoning systems using clustering and regression. ICCP 2011: 163-169
[c4]
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Raluca Brehar, Sergiu Nedevschi:
A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features. ICCP 2011: 299-306
[c3]
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Nenad Tomasev, Raluca Brehar, Dunja Mladenic, Sergiu Nedevschi:
The influence of hubness on nearest-neighbor methods in object recognition. ICCP 2011: 367-374
[c2]
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Raluca Brehar, Carolina Fortuna, Silviu Bota, Dunja Mladenic, Sergiu Nedevschi:
Spatio-temporal reasoning for traffic scene understanding. ICCP 2011: 377-384
[c1]
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Ioan Toma, Mihai Chezan, Raluca Brehar, Sergiu Nedevschi, Dieter Fensel:
SIM, a Semantic Instrumentation and Monitoring Solution for Large Scale Reasoning Systems. ICSC 2011: 118-124

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