Tomé Albuquerque

According to our database, Tomé Albuquerque authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Characterizing the Interpretability of Attention Maps in Digital Pathology.

Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz

CoRR, 2024

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

2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 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, Jaime S. Cardoso

Intell. Syst. Appl., 2023

Unimodal Distributions for Ordinal Regression.

Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque

CoRR, 2023

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, Peter J. Schüffler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Ordinal losses for classification of cervical cancer risk.

Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso

PeerJ Comput. Sci., 2021

Applying Machine Learning for Traffic Forecasting in Porto, Portugal.

Paulo Maia, Joana Morgado, Tiago Gonçalves, Tomé Albuquerque

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Embedded Regularization For Classification Of Colposcopic Images.

Tomé Albuquerque, Jaime S. Cardoso

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Ordinal Focus Assessment for Whole Slide Images.

Tomé Albuquerque, Ana Moreira, Jaime S. Cardoso

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021