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