
Aurélio Campilho
Aurélio Campilho is Emeritus Professor of the University of Porto, Jubilee Full Professor in the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto, Portugal. He is a Fellow from EAMBES (European Alliance of Medical and Biological Engineering and Science). He is a Senior Member of the IEEE – The Institute of Electrical and Electronics Engineers. He is coordinator of the Center for Biomedical Engineering Research (C-BER) and develops research at the Biomedical Imaging Lab from C-BER from INESC TEC – Institute for Systems and Computer Engineering, Technology and Science. His current research interests include the areas of biomedical engineering, medical image analysis, image processing and computer vision, particularly in Computer-aided Diagnosis applied in several imaging modalities, including ophthalmic images, carotid ultrasound imaging and computed tomography of the lung.
He is the author of one book (with two editions), co-edited 20 books and published more than 250 articles in international journals and conferences. Organized several special issues of magazines and conferences. He was Associate Editor of the journals IEEE Transactions on Biomedical Engineering and the Machine Vision Applications Journal. From 2004 to 2020, he was General Chair of the International Conferences on Image Analysis and Recognition (ICIAR) conference series.
Publications
Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study
Pereira, SC;Rocha, J;Campilho, A;Mendonça, AM;
2024
HELIYON
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging
Ferreira, ICA;Venkadesh, KV;Jacobs, C;Coimbra, M;Campilho, A;
2024
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
A Comparative Study of Feature-Based and End-to-End Approaches for Lung Nodule Classification in CT Volumes to Lung-RADS Follow-up Recommendation
Ferreira, CA;Ramos, I;Coimbra, M;Campilho, A;
2024
2024 IEEE 22ND MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, MELECON 2024
Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs
Pedrosa, J;Pereira, SC;Silva, J;Mendonça, AM;Campilho, A;
2025
DEEP GENERATIVE MODELS, DGM4MICCAI 2024
Supervised Theses
Segmentation and Quantification of Gynecological Structures from Ultrasound Images
Diego Santos Wanderley
D - 2019
UP-FEUP
Detection of lung nodules in computed tomography images
Guilherme Moreira Aresta
D - 2019
UP-FEUP
content based image retrieval as a computer aided diagnosis tool for radiologists
José Ricardo Ferreira de Castro Ramos
D - 2019
UP-FEUP
Diabetic Retinopathy Grading in Color Eye Fundus Images
Teresa Manuel Sá Finisterra Araújo
D - 2019
UP-FEUP


