| Deep learning on multi sensor data for counter UAV applications—A systematic review S Samaras, E Diamantidou, D Ataloglou, N Sakellariou, A Vafeiadis, ... Sensors 19 (22), 4837, 2019 | 221 | 2019 |
| Does deep super-resolution enhance uav detection? V Magoulianitis, D Ataloglou, A Dimou, D Zarpalas, P Daras 2019 16th IEEE international conference on advanced video and signal based …, 2019 | 76 | 2019 |
| UAV classification with deep learning using surveillance radar data S Samaras, V Magoulianitis, A Dimou, D Zarpalas, P Daras International Conference on Computer Vision Systems, 744-753, 2019 | 32 | 2019 |
| E-pixelhop: An enhanced pixelhop method for object classification Y Yang, V Magoulianitis, CCJ Kuo 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 16 | 2021 |
| Generative artificial intelligence in surgery S Rodler, C Ganjavi, P De Backer, V Magoulianitis, LS Ramacciotti, ... Surgery, 2024 | 13 | 2024 |
| The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics M Kaneko, V Magoulianitis, LS Ramacciotti, A Raman, D Paralkar, ... Urologic Clinics 51 (1), 1-13, 2024 | 7 | 2024 |
| HEVC decoder optimization in low power configurable architecture for wireless devices V Magoulianitis, I Katsavounidis 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and …, 2015 | 4 | 2015 |
| MP55-20 a novel machine learning framework for automated detection of prostate cancer lesions confirmed on mri-informed target biopsy M Kaneko, GE Cacciamani, V Magoulianitis, Y Yang, J Xue, J Yang, J Liu, ... Journal of Urology 209 (Supplement 4), e771, 2023 | 3 | 2023 |
| Unsupervised data-driven nuclei segmentation for histology images V Magoulianitis, P Han, Y Yang, CCJ Kuo arXiv preprint arXiv:2110.07147, 2021 | 3 | 2021 |
| A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology V Magoulianitis, CA Alexander, CCJ Kuo arXiv preprint arXiv:2308.08112, 2023 | 2 | 2023 |
| MP09-06 ASSESSMENT OF A NOVEL BPMRI-BASED MACHINE LEARNING FRAMEWORK TO AUTOMATE THE DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER USING THE PI-CAI (PROSTATE IMAGING … Andre Luis Abreu, Giovanni Cacciamani, Masatomo Kaneko, Vasileios ... The Journal of Urology 209 (Supplement 4), e106, 2023 | 2 | 2023 |
| MP09-05 Automated prostate gland and prostate zones segmentation using a novel mri-based machine learning framework and creation of software interface for users annotation M Kaneko, GIE Cacciamani, Y Yang, V Magoulianitis, J Xue, J Yang, J Liu, ... Journal of Urology 209 (Supplement 4), e105, 2023 | 2 | 2023 |
| A lightweight generalizable evaluation and enhancement framework for generative models and generated samples G Zhao, V Magoulianitis, S You, CCJ Kuo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Lgsqe: Lightweight generated sample quality evaluation G Zhao, V Magoulianitis, S You, CCJ Kuo 2023 IEEE International Conference on Image Processing (ICIP), 1915-1919, 2023 | 1 | 2023 |
| Lightweight quality evaluation of generated samples and generative models G Zhao, V Magoulianitis, S You, CCJ Kuo APSIPA Transactions on Signal and Information Processing 12 (1), 2023 | 1 | 2023 |
| An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images V Magoulianitis, P Han, Y Yang, CCJ Kuo 2022 IEEE International Conference on Image Processing (ICIP), 226-230, 2022 | 1 | 2022 |
| Statistical attention localization (SAL): Methodology and application to object classification Y Yang, V Magoulianitis, X Wang, CCJ Kuo arXiv preprint arXiv:2208.01823, 2022 | 1 | 2022 |
| HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation V Magoulianitis, Y Yang, CCJ Kuo 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 1 | 2022 |
| RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection V Magoulianitis, J Yang, CA Alexander, CCJ Kuo arXiv preprint arXiv:2501.02066, 2025 | | 2025 |
| PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation V Magoulianitis, J Yang, Y Yang, J Xue, M Kaneko, G Cacciamani, ... Computerized Medical Imaging and Graphics, 102408, 2024 | | 2024 |
C.-C. Jay KuoMing Hsieh Chair Professor in ECE-Systems, University of Southern Californiasipi.usc.edu üzerinde doğrulanmış e-posta adresine sahip