2 | Prostate Cancer Aggressiveness Prediction using CT Images | Bruno Mendes, Inês Domingues and João Santos |
5 | Detection of EGFR-related patterns in lung cancer CT images: a holistic approach | Francisco Silva, Tania Pereira, António Cunha and Hélder Oliveira |
8 | Machine learning approach for perfusion assessment of synthetic myocardial SPECT images | Sérgio Figueiredo, Ana Fred and João Sanches |
9 | Comparison of bladder segmentation techniques in CT scans | Ana Couto, Inês Domingues and João Santos |
12 | Segmentation of optic disc and cup for glaucoma analysis using cup-to-disc ratio | Alexandre Neto, José Camara, Sérgio Oliveira, Ana Cláudia and António Cunha |
13 | Detection of polyps in colonoscopy images | Sara Nobrega, José Ribeiro and António Cunha |
16 | Preliminary Study on the Impact of Attention Mechanisms for Medical Image Classification | Tiago Gonçalves and Jaime Cardoso |
21 | False-positives attenuation of automatically detected hotspots on bone scintigraphy images using image analysis techniques | Laura Providência, Inês Domingues and João Santos |
22 | Analysis of classification tradeoff in deep learning for gastric cancer detection | Gabriel Lima, Miguel Coimbra and Francesco Renna |
23 | Improving spatial resolution of myocardial T1-mapping using a model-based super-resolution reconstruction | Francisco Cachado, Andreia Gaspar and Rita Nunes |
26 | Deep Convolutional Neural Network for gastric landmark detection | Inês Lopes, Miguel Coimbra, Augusto Silva and Francesco Renna |
29 | Segmentation of US fetus images based on particle swarm optimization and k-means clustering | Lio Goncalves, Paulo Salgado and Paulo Afonso |
32 | Anonymising Case-based Explanations for Medical Image Analysis | Helena Montenegro, Wilson Silva and Jaime S. Cardoso |
38 | Automatic Lung Field Segmentation on Chest Radiography Images | Rui Magalhães, Ricardo Brioso, Joana Rocha, Sofia Cardoso Pereira, João Pedrosa, Ana Maria Mendonça and Aurélio Campilho |
40 | A semi-supervised approach for colorectal cancer diagnosis from H&E whole slide images | Sara P. Oliveira, Pedro C. Neto, Diana Montezuma, Liliana Ribeiro, Ana Monteiro, Isabel Macedo Pinto and Jaime Cardoso |