- "Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis" (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024)
- "3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement" (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024)
- "Tracking and Counting Apples in Orchards Under Intermittent Occlusions and Low Frame Rates" (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024)
- "MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems" (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024)
- "Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes" (8th ISIC Skin Image Analysis Workshop @ MICCAI, 2023) - Honorable Mention Award
- "XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision" (Workshop on Interpretability of Machine Intelligence in Medical Image Computing @ MICCAI, 2023)
- "Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis" (Conference on Human Factors in Computing Systems (CHI), 2023)
- "Unsupervised Domain Adaptation for Video Violence Detection in the Wild" (3rd International Conference on Image Processing and Vision Engineering (IMPROVE), 2023) - Best Paper Award
Research Experience
Currently a researcher at ISR and an Invited Assistant Professor at IST.
Education
Received a BSc in Biomedical Engineering in 2009, an MSc in Biomedical Engineering in 2011, and a PhD in Electrical and Computer Engineering in 2017 from Instituto Superior Técnico (IST), Universidade de Lisboa.
Background
Research interests include computer vision, machine learning, and deep learning. Currently a researcher at ISR and an Invited Assistant Professor at IST, and is currently accepting students.
Miscellany
Projects involved in or leading include:
- PT Smart Retail: Developing AI-based technologies to personalize user shopping experience.
- MIA-BREAST: Developing new computer-aided diagnosis and detection systems to improve breast cancer detection.