most citedELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach

71 citations · 94 across the 4 of their papers we have counts for

collaborators

6 papers

q-bio.TO20266 cited

ROI Extraction in Thermographic Breast Images Using Genetic Algorithms

LC Mendes, EO Rodrigues, Sandro C Izidoro +2

This work proposes the use of Genetic Algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color informat…

eess.IV202612 cited

Fractal triangular search: a metaheuristic for image content search

Erick O. Rodrigues, Panos Liatsis, Luiz Satoru +1

This work proposes a variable neighbourhood search (FTS) that uses a fractal-based local search primarily designed for images. Searching for specific content in images is posed as…

eess.IV20265 cited

Local-sensitive connectivity filter (ls-cf): A post-processing unsupervised improvement of the frangi, hessian and vesselness filters for multimodal vessel segmentation

Erick O Rodrigues, Lucas O Rodrigues, João HP Machado +5

A retinal vessel analysis is a procedure that can be used as an assessment of risks to the eye. This work proposes an unsupervised multimodal approach that improves the response of…

cs.CV202671 cited

ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach

Erick O. Rodrigues, Aura Conci, Panos Liatsis

Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy…

cs.LG2026

Proposal and study of statistical features for string similarity computation and classification

E. O. Rodrigues, D. Casanova, M. Teixeira +5

Adaptations of features commonly applied in the field of visual computing, co-occurrence matrix (COM) and run-length matrix (RLM), are proposed for the similarity computation of st…

cs.CV2024

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction

Shuaikai Shi, Ruiyuan Kang, Panos Liatsis

Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructing images of the electrical conductivity of tissues and materials. It is popular i…