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2020 – today
- 2024
[j15]Adrian-Alin Barglazan, Remus Brad:
Wavelet Based Inpainting Detection. Adv. Artif. Intell. Mach. Learn. 4(3): 2783-2809 (2024)- [j14]Valentin Ogrean
, Remus Brad:
Deep reinforcement learning architectures for automatic organ segmentation. Biomed. Signal Process. Control. 90: 105919 (2024) - [j13]Claudiu Buduleci, Arpad Gellert, Adrian Florea, Remus Brad:
Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors. Comput. 13(4): 84 (2024) - [j12]Teodora Vasilas, Claudiu Bacila, Remus Brad:
Beat the Heat: Syscall Attack Detection via Thermal Side Channel. Future Internet 16(8): 301 (2024) - [j11]Adrian-Alin Barglazan, Remus Brad, Constantin Constantinescu:
Image Inpainting Forgery Detection: A Review. J. Imaging 10(2): 42 (2024) - [i7]Adrian-Alin Barglazan, Remus Brad:
Wavelet based inpainting detection. CoRR abs/2408.06429 (2024) - [i6]Adrian-Alin Barglazan, Remus Brad:
Enhanced Wavelet Scattering Network for image inpainting detection. CoRR abs/2409.17023 (2024) - 2022
- [j10]Camil Bancioiu, Remus Brad:
Analyzing Markov Boundary Discovery Algorithms in Ideal Conditions Using the d-Separation Criterion. Algorithms 15(4): 105 (2022) - [j9]Valentin Ogrean, Remus Brad:
Multi-Organ Segmentation Using a Low-Resource Architecture. Inf. 13(10): 472 (2022) - 2021
- [j8]Camil Bancioiu, Remus Brad:
Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse. Entropy 23(11): 1501 (2021) - [j7]Alexandru Dorobantiu, Valentin Ogrean, Remus Brad:
Coronary Centerline Extraction from CCTA Using 3D-UNet. Future Internet 13(4): 101 (2021) - 2020
- [j6]Alexandru Dorobantiu, Remus Brad:
A novel contextual memory algorithm for edge detection. Pattern Anal. Appl. 23(2): 883-895 (2020) - [j5]Arpad Gellert, Remus Brad:
Image inpainting with Markov chains. Signal Image Video Process. 14(7): 1335-1343 (2020)
2010 – 2019
- 2019
- [j4]Paula Tatulea, Florina Calin, Remus Brad, Lucian Brâncovean, Mircea Greavu:
An Image Feature-Based Method for Parking Lot Occupancy. Future Internet 11(8): 169 (2019) - 2018
- [j3]Arpad Gellert, Remus Brad:
Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains. Signal Image Video Process. 12(2): 315-322 (2018) - 2016
- [j2]Arpad Gellert, Remus Brad:
Context-based prediction filtering of impulse noise images. IET Image Process. 10(6): 429-437 (2016) - 2015
- [i5]Raluca Brad, Eugen Haloiu, Remus Brad:
Seam Puckering Objective Evaluation Method for Sewing Process. CoRR abs/1510.07234 (2015) - [i4]Raluca Brad, Lavinia Barac, Remus Brad:
Defect Detection Techniques for Airbag Production Sewing Stages. CoRR abs/1510.07905 (2015) - 2014
- [i3]Nusrat Fatema, Remus Brad:
Attacks And Counterattacks On Wireless Sensor Networks. CoRR abs/1401.4443 (2014) - [i2]Cosmin Basca, Mihai Talos, Remus Brad:
Humanoid Robot With Vision Recognition Control System. CoRR abs/1401.4446 (2014) - [i1]Nusrat Fatema, Remus Brad:
Security Requirements, Counterattacks and Projects in Healthcare Applications Using WSNs - A Review. CoRR abs/1406.1795 (2014) - 2012
- [j1]Nusrat Sharmin, Remus Brad:
Optimal Filter Estimation for Lucas-Kanade Optical Flow. Sensors 12(9): 12694-12709 (2012) - 2010
- [c2]Tudor Ghircoias, Remus Brad:
A New Framework for the Extraction of Contour Lines in Scanned Topographic Maps. IDC 2010: 47-52
2000 – 2009
- 2002
- [c1]Remus Brad, Ioan Alfred Letia:
Extracting cloud motion from satellite image sequences. ICARCV 2002: 1303-1307
Coauthor Index
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