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Tomé Albuquerque
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2020 – today
- 2024
- [j4]Azar Kazemi, Ashkan Rasouli-Saravani, Masoumeh Gharib, Tomé Albuquerque, Saeid Eslami, Peter J. Schüffler:
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 173: 108306 (2024) - [i2]Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz:
Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR abs/2407.02484 (2024) - 2023
- [j3]Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso:
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. Intell. Syst. Appl. 17: 200170 (2023) - [j2]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:
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. Mach. Vis. Appl. 34(1): 16 (2023) - [c5]Tomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso, Peter J. Schüffler:
Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 157-167 - [i1]Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque:
Unimodal Distributions for Ordinal Regression. CoRR abs/2303.04547 (2023) - 2022
- [c4]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:
Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. EMBC 2022: 588-593 - 2021
- [j1]Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso:
Ordinal losses for classification of cervical cancer risk. PeerJ Comput. Sci. 7: e457 (2021) - [c3]Tomé Albuquerque, Ana Moreira, Jaime S. Cardoso:
Deep Ordinal Focus Assessment for Whole Slide Images. ICCVW 2021: 657-663 - [c2]Tomé Albuquerque, Jaime S. Cardoso:
Embedded Regularization For Classification Of Colposcopic Images. ISBI 2021: 1920-1923 - [c1]Paulo Maia, Joana Morgado, Tiago Gonçalves, Tomé Albuquerque:
Applying Machine Learning for Traffic Forecasting in Porto, Portugal. PKDD/ECML Workshops (2) 2021: 299-308
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last updated on 2024-08-25 20:05 CEST by the dblp team
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