Jaime Cardoso

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Full Professor

University of Porto

Portugal

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Recent Grants

Grant: Close

TAMI - Transparent Artificial Medical Intelligence

Open Date: 2020-04-01

Close Date: 2023-03-01

Grant: Close

AUTOMOTIVE - AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles

Open Date: 2018-10-01

Close Date: 2021-01-01

Grant: Close

CLARE - Computer Aided Cervical Cancer Screening

Open Date: 2018-07-01

Close Date:

Grant: Close

(Módulos Automáticos de Auxílio ao Rastreio e Diagnóstico do Cancro da Mama Integrados em Sistemas PACS

Open Date: 2013-01-01

Close Date: 2015-01-01

Grant: Close

PICTURE - Patient Information Combined for the Assessment of Specific Surgical Outcomes in Breast cancer

Open Date: 2013-01-01

Close Date: 2016-01-01

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Francisco Caetano

Eindhoven University of Technology

NETHERLANDS

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Joao Gama

University of Porto

PORTUGAL

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Ricardo Cruz

Professor Auxiliar

University of Porto

PORTUGAL

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Jaime Cardoso

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (13)

Anonymizing medical case-based explanations through disentanglement

Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems

Space Imaging Point Source Detection and Characterization

Classification of Pulmonary Nodules in 2-[18F]FDG PET/CT Images with a 3D Convolutional Neural Network

Deep Edge Detection Methods for the Automatic Calculation of the Breast Contour

Two-Stage Framework for Faster Semantic Segmentation

Evaluation of Vectra (R) XT 3D Surface Imaging Technology in Measuring Breast Symmetry and Breast Volume

Deep Anomaly Detection for In-Vehicle Monitoring—An Application-Oriented Review

Deep Anomaly Detection for In-Vehicle Monitoring-An Application-Oriented Review

iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images

iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images

Tackling unsupervised multi-source domain adaptation with optimism and consistency

Tackling unsupervised multi-source domain adaptation with optimism and consistency

Collaborators (3)

Francisco Caetano

Joao Gama

Ricardo Cruz

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