Poster Session 1 (14:00–15:00)

#TitleAuthors
5An evaluation of filter and wrapper methods for feature selection in chronotype profilesMariana Ramos, André Silva, Ana Tomé, Pedro Bem-Haja and Isabel Santos
8Deep Learning for Segmentation of the Left Ventricle in EchocardiographySofia Ferraz, Miguel Coimbra and João Pedrosa
11Evaluating mutual information between deep features and lung tumor semanticsFrancisco Silva, Hélder Oliveira and Tânia Pereira
16Automatic contrast generation from contrastless computed tomographyRúben Domingues, Francesco Renna and João Pedrosa
17COVID-19 Chest X-Ray classification and the impact of Data AugmentationCarlos Manso, Inês Domingues and Verónica Vasconcelos
18Impact of Class Balancing Techniques in the Classification of Skin LesionsCÁtia Loureiro, Lio GonÇalves and Vitor Filipe
19Automatic Pericardial Segmentation in Computed Tomography ImagesRúben Baeza, Miguel Coimbra, Francesco Renna and João Pedrosa
21Breast Cancer Detection in MRI using a Faster R-CNN modelJoão Nuno Centeno Raimundo, João Pedro Fontes and Miguel Angel Guevara Lopez
22Discovering Quantitative Imaging Biomarkers for Breast Cancer DiagnosisJoão Pedro Fontes, João Raimundo, Luís Gonzaga Mendes Magalhães and Miguel Angel Guevara Lopez
28From Easy to Hard: A Curriculum Learning Approach for Breast Lesion ClassificationEduarda Caldeira, Eduardo Meca Castro and Tiago Gonçalves
29A survey on computational tools for human viral genomes reconstructionMaria João Sousa and Diogo Pratas
38Deep learning glaucoma detection models in retinal images capture by mobile devicesRoberto Rezende, Ana Coelho, Rodrigo Fernandes, José Camara, Alexandre Neto and António Cunha
44Improving the compression of a complete Telomere-to-Telomere (T2T) human genome sequenceMaria João Sousa, Rita Ferrolho, Tiago Fonseca, Armando J Pinho and Diogo Pratas
45How Coherence of CT Annotations and Data Augmentation with Domain Knowledge Can Help Improve Lung SegmentationJoana Sousa, Tania Pereira, Inês Neves, Francisco Silva and Hélder P. Oliveira
47Active Learning for Biomedical Image Segmentation: A case studyDiogo Silva, Lio GonÇalves, Pedro GonÇalo, Bruno ColaÇo, Sofia Pimenta, MÁrio Ginja, Manuel Ferreira and Vitor Filipe
51Semi-supervised learning for gastric landmark detectionInês Lopes, Miguel Coimbra and Francesco Renna
55An Inherently Interpretable Classifier for Automatic Skin Lesion DiagnosisCristiano Patrício, Nuno Pereira, João Neves and Luís Teixeira
56Automatic detection of calcifications in mammography images using Mask-RCNNCarolina Ferreira, Verónica Vasconcelos and Inês Domingues
58Machine Learning models for the detection of ex vivo colorectal cancer in biophotonic dataLuís Fernandes, Sónia Carvalho, Isa Carneiro, Rui Henrique, Valery V. Tuchin, Luís Oliveira and Hélder Oliveira
59Privacy-Preserving Case-Based Explanations for Medical Image AnalysisHelena Montenegro, Wilson Silva and Jaime Cardoso
62Novel Graph Neural Network architecture to predict HIV inhibitorsPedro Quesado dos Santos, Joel P. Arrais, Luis H. M. Torres, Maryam Abbasi and Bernardete Ribeiro
63Deep Feature-Based Automated Chest Radiography Compliance AssessmentMatilde Costa, Sofia C. Pereira, João Pedrosa, Ana Maria Mendonça and Aurélio Campilho
64Augmented reality on campusPedro Rito, Teresa Rocha and Nuno Martins
69Towards Biometrically-Morphed Torsos for Improved Shared Decision-Making Process in Breast Cancer PatientsMariana F. Nunes, Maria Carvalho, Wilson Silva, Maria J. Cardoso and Jaime S. Cardoso