Deep Ordinal Focus Assessment for Whole Slide Images. - Tomé Albuquerque; Ana Moreira; Jaime S. Cardoso 001 (ICCVW, 2021)

Embedded Regularization For Classification Of Colposcopic Images. - Tomé Albuquerque; Jaime S. Cardoso 001 (ISBI, 2021)

Applying Machine Learning for Traffic Forecasting in Porto, Portugal. - Paulo Maia; Joana Morgado; Tiago Gonçalves; Tomé Albuquerque (PKDD/ECML Workshops (2), 2021)

Ordinal losses for classification of cervical cancer risk. - Tomé Albuquerque; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (PeerJ Comput. Sci., 2021)

Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. - Tomé Albuquerque; Ana Moreira; Beatriz Barros; Diana Montezuma; Sara Pires de Oliveira; Pedro C. Neto; João C. Monteiro; Liliana Ribeiro; Sofia Gonçalves; Ana Monteiro; Isabel M. Pinto; Jaime S. Cardoso 001 (EMBC, 2022)

Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. - Tomé Albuquerque; Mei Ling Fang; Benedikt Wiestler; Claire Delbridge; Maria João M. Vasconcelos; Jaime S. Cardoso 001; Peter J. Schüffler (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. - Tomé Albuquerque; Luís Rosado; Ricardo P. M. Cruz; Maria João M. Vasconcelos; Tiago Oliveira 004; Jaime S. Cardoso 001 (Intell. Syst. Appl., 2023)

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. - Eduardo Castro; Pedro M. Ferreira 007; Ana Rebelo; Isabel Rio-Torto; Leonardo Capozzi; Mafalda Falcão Ferreira; Tiago Gonçalves; Tomé Albuquerque; Wilson Silva; Carolina Afonso; Ricardo Gamelas Sousa; Claudio Cimarelli; et al. (Mach. Vis. Appl., 2023)

A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes. - Azar Kazemi; Ashkan Rasouli-Saravani; Masoumeh Gharib; Tomé Albuquerque; Saeid Eslami; Peter J. Schüffler (Comput. Biol. Medicine, 2024)

Characterizing the Interpretability of Attention Maps in Digital Pathology. - Tomé Albuquerque; Anil Yüce; Markus D. Herrmann; Alvaro Gomariz 001 (CoRR, 2024)

CountPath: Automating Fragment Counting in Digital Pathology. - Ana Beatriz Vieira; Maria Valente; Diana Montezuma; Tomé Albuquerque; Liliana Ribeiro; Domingos Oliveira; João C. Monteiro; Sofia Gonçalves; Isabel M. Pinto; Jaime S. Cardoso 001; Arlindo L. Oliveira (CoRR, 2025)

Unimodal Distributions for Ordinal Regression. - Jaime S. Cardoso 001; Ricardo P. M. Cruz; Tomé Albuquerque (IEEE Trans. Artif. Intell., 2025)