342 citations · 351 across the 6 of their papers we have counts for
7 papers
Frame-to-Panorama Localization and Context-Aware Sampling for Scene-Specific Ship Detection in a Smart Marina Testbed
Ignat Romanov, Andreas Hadjipieris, Neofytos Dimitriou
Smart maritime infrastructures provide continuous access to heterogeneous sensing streams, enabling repeated experimentation, digital-twin development, and AI-based maritime servic…
Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival
Neofytos Dimitriou
Accurate vessel estimated-time-of-arrival forecasts are critical for port operations and decarbonization, yet global-scale travel-time prediction remains difficult without costly c…
Unsupervised Port Berth Identification from Automatic Identification System Data
Andreas Hadjipieris, Neofytos Dimitriou, Ognjen Arandjelović
Port berthing sites are regions of high interest for monitoring and optimizing port operations. Data sourced from the Automatic Identification System (AIS) can be superimposed on b…
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou, Ognjen Arandjelovic
The shift towards end-to-end deep learning has brought unprecedented advances in many areas of computer vision. However, deep neural networks are trained on images with resolutions…
A New Look at Ghost Normalization
Neofytos Dimitriou, Ognjen Arandjelovic
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization. It is often assumed that the degradation in BatchNorm performance t…
Deep Learning for Whole Slide Image Analysis: An Overview
Neofytos Dimitriou, Ognjen Arandjelović, Peter D Caie
The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision,…
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Xingzhi Yue, Neofytos Dimitriou, Ognjen Arandjelovic
Digital pathology (DP) is a new research area which falls under the broad umbrella of health informatics. Owing to its potential for major public health impact, in recent years DP…