HEVC decoder optimization in low power configurable architecture for wireless devices. - Vasileios Magoulianitis; Ioannis Katsavounidis (WOWMOM, 2015)

Drone-vs-Bird Detection Challenge at IEEE AVSS2019. - Angelo Coluccia; Muhammad Saqib; Nabin Sharma; Michael Blumenstein; Vasileios Magoulianitis; Dimitrios Ataloglou; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras; Céline Craye; Salem Ardjoune; Alessio Fascista; et al. (AVSS, 2019)

Does Deep Super-Resolution Enhance UAV Detection? - Vasileios Magoulianitis; Dimitrios Ataloglou; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras (AVSS, 2019)

UAV Classification with Deep Learning Using Surveillance Radar Data. - Stamatios Samaras; Vasileios Magoulianitis; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras (ICVS, 2019)

E-PixelHop: An Enhanced PixelHop Method for Object Classification. - Yijing Yang; Vasileios Magoulianitis; C.-C. Jay Kuo (APSIPA ASC, 2021)

Unsupervised Data-Driven Nuclei Segmentation For Histology Images. - Vasileios Magoulianitis; Peida Han; Yijing Yang; C.-C. Jay Kuo (CoRR, 2021)

An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images. - Vasileios Magoulianitis; Peida Han; Yijing Yang; C.-C. Jay Kuo (ICIP, 2022)

HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. - Vasileios Magoulianitis; Yijing Yang; C.-C. Jay Kuo (IVMSP, 2022)

Statistical Attention Localization (SAL): Methodology and Application to Object Classification. - Yijing Yang; Vasileios Magoulianitis; Xinyu Wang; C.-C. Jay Kuo (CoRR, 2022)

LGSQE: Lightweight Generated Sample Quality Evaluation. - Ganning Zhao; Vasileios Magoulianitis; Suya You; C.-C. Jay Kuo (ICIP, 2023)

Learning Scene Flow With Skeleton Guidance For 3D Action Recognition. - Vasileios Magoulianitis; Athanasios Psaltis (CoRR, 2023)

A Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated Samples. - Ganning Zhao; Vasileios Magoulianitis; Suya You; C.-C. Jay Kuo (WACV (Workshops), 2024)

PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. - Vasileios Magoulianitis; Jiaxin Yang; Yijing Yang; Jintang Xue; Masatomo Kaneko; Giovanni E. Cacciamani; Andre Abreu; Vinay A. Duddalwar; C.-C. Jay Kuo; Inderbir S. Gill; Chrysostomos L. Nikias (Comput. Medical Imaging Graph., 2024)

RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction in MRI Prostate Cancer Detection. - Vasileios Magoulianitis; Jiaxin Yang; Catherine A. Alexander; C.-C. Jay Kuo (ISBI, 2025)