Tomé Albuquerque

14 papers Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CountPath: Automating Fragment Counting in Digital Pathology. CoRR Ana Beatriz Vieira, Maria Valente, Diana Montezuma, Tomé Albuquerque, Liliana Ribeiro, Domingos Oliveira, João C. Monteiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso, Arlindo L. Oliveira
2025	—	`conf`	MoMIL: Mixture of Multi-instance Learners for Modeling Multiple Compound Activities in High Content Imaging. MICCAI (13) Pushpak Pati, Hsiu-Chi Cheng, Steffen Jaensch, Walid M. Abdelmoula, Krishna Chaitanya, Michiel Van Dyck, Tomé Albuquerque, Samantha Allen, Litao Zhang, Tommaso Mansi, Rui Liao, Zhoubing Xu
2025	J	`jnl`	Unimodal Distributions for Ordinal Regression. IEEE Trans. Artif. Intell. Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque
2024	J	`jnl`	A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes. Comput. Biol. Medicine Azar Kazemi, Ashkan Rasouli-Saravani, Masoumeh Gharib, Tomé Albuquerque, Saeid Eslami, Peter J. Schüffler
2024	J	`jnl`	Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz
2023	J	`jnl`	Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. Mach. Vis. Appl. 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
2023	—	`conf`	Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Tomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso, Peter J. Schüffler
2023	J	`jnl`	Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. Intell. Syst. Appl. Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso
2023	J	`jnl`	Unimodal Distributions for Ordinal Regression. CoRR Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque
2022	—	`conf`	Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. EMBC 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
2021	—	`conf`	Applying Machine Learning for Traffic Forecasting in Porto, Portugal. PKDD/ECML Workshops (2) Paulo Maia, Joana Morgado, Tiago Gonçalves, Tomé Albuquerque
2021	—	`conf`	Deep Ordinal Focus Assessment for Whole Slide Images. ICCVW Tomé Albuquerque, Ana Moreira, Jaime S. Cardoso
2021	—	`conf`	Embedded Regularization For Classification Of Colposcopic Images. ISBI Tomé Albuquerque, Jaime S. Cardoso
2021	J	`jnl`	Ordinal losses for classification of cervical cancer risk. PeerJ Comput. Sci. Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso