GC
Gustavo Carneiro
Also known as: Gustavo Henrique Monteiro de Barros Carneiro, Gustavo Henrique Carneiro
University of Surrey, The University of Adelaide, University of Toronto, Military Institute of Engineering, Technical University of Munich, Universidade Federal do Rio de Janeiro
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Medical Image Segmentation Techniques · Domain Adaptation and Few-Shot Learning
Employment
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University of Surrey Professor of AI and Machine Learning2022 - Present
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The University of Adelaide Professor2019 - 2022
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Technische Universität München Visiting Professor/Humboldt Fellow2019 - 2019
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University of Adelaide Associate Professor2015 - 2018
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Technische Universität München Visiting Professor2014 - 2015
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University of Adelaide Senior Lecturer2011 - 2014
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Instituto Superior Técnico Marie Curie Fellow2010 - 2011
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Instituto Superior Técnico Invited Assistant Professor2008 - 2010
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Siemens Corp Corporate Research Senior Research Scientist2006 - 2008
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University of British Columbia NSERC Post-doctoral Fellow2004 - 2005
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University of California San Diego Post-doctoral Fellow2004 - 2004
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University of Toronto Invited Lecturer2004 - 2004
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University of Toronto Research Assistant2003 - 2004
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Cambridge Research Laboratory of Epson Summer Intern2002 - 2002
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Compaq Cambridge Research Laboratory Summer intern2001 - 2001
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University of Toronto Teaching Assistant1999 - 2003
Education
- 1999 - 2004
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Instituto Militar de Engenharia Master's degree1997 - 1999
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Universidade Federal do Rio de Janeiro Bachelor's degree1992 - 1996
Projects & Funding
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The Care-Full Study: A systems approach to older adults with multiple long term conditions' home-based care: mapping, scoping, feasibility, and modelling of factors affecting outcomes for unpaid caregiving National Institute for Health and Care Research2023 - 2024
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People-centered Mammogram Analysis Engineering and Physical Sciences Research Council2023 - 2025
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ARC Training Centre for Next-Gen Technologies in Biomedical Analysis Australian Research Council2022 - 2026
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Imagendo: Diagnosing endometriosis with imaging and AI Medical Research Future Fund (MRFF) – Primary Healthcare Research Data Infrastructure2021 - 2024
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Transforming breast cancer screening with artificial intelligence (AI): An exemplar for broad AI deployment in healthcare Department of Health, Australian Government2020 - 2023
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Trusted Autonomous Ground Vehicle injected in an EW application (TAGVIEW) Australian Government2020 - 2023
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Adapting Deep Learning for Real-world Medical Image Datasets Australian Research Council2019 - 2022
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A world-class machine learning facility for Australia Australian Research Council2019 - 2019
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Deep reinforcement learning for discovering and visualising biomarkers Australian Research Council2018 - 2020
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Computational infrastructure for developing deep machine learning models Australian Research Council2016 - 2016
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Automated analysis of multi-modal medical data using deep belief networks Australian Research Council2014 - 2016
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ARC Centre of Excellence for Robotic Vision Australian Research Council2014 - 2020
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Automatic Quantification of Acute and Chronic Hypoxia in Tumors from Immunohistochemical Fluorescence Images using Deep Structured Inference Alexander von Humboldt-Stiftung2014 - 2015
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HEARTRACK - Segmentation and tracking of the human heart in 2D and 3D ultrasound data based on a principled combination of the top-down and bottom-up paradigms Fundação para a Ciência e a Tecnologia, I.P.2010 - 2013
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PrintArt - Content and Ontology based art image annotation and retrieval Fundação para a Ciência e a Tecnologia, I.P.2010 - 2013
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IMASEG3D - Learning to Combine Hierarchical Image Modelling with 2-D Segmentation and 3-D Pose Recovery of Visual Objects Research Executive Agency2010 - 2011
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View-based Object Recognition Using Local Image Descriptors Natural Sciences and Engineering Research Council of Canada2005 - 2006
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View-based Object Recognition Using Local Image Descriptors Natural Sciences and Engineering Research Council of Canada2004 - 2005
Publications (350)
- Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging Save
- Unpaired multi-modal multi-label learning for detecting endometriosis signs Save
- DisMix: Order-Aware Mixup for Medical Imaging via Disentangling Ordinal and Non-Ordinal Features Save
- Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images Save
- AutoCumulus: an automated mammographic density measure created using artificial intelligence Save
- Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging Save
- Deep learning Algorithm for Wound assessment after total kNee (DAWN) arthroplasty Save
- Multi-agent decision making: A Blackwell's informativeness approach Save
- Deep learning diffusion models for Compton scatter tomography Save
- Improving data‑driven quantitative photoacoustic imaging with transfer learning Save
- Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations Save
- Trustworthy Analysis of Radiotherapy Images with Artificial Intelligence Save
- PASS: Peer-agreement based sample selection for training with instance dependent noisy labels Save
- Artifcial Intelligence and Data Analytics in Medical Imaging for the Diagnosis of Endometriosis Save
- Human in the loop: Integration of experts in MR data processing Save
- AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach Save
- Bimodal defect segmentation with Geometric Prior-supported Anti-imbalance Learning for pavement defect evaluation and repair Save
- Learning to Complement with Multiple Humans Save
- Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Save
- AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning Save