I received a BSc (2009) and MSc (2011) in Biomedical Engineering, and a PhD (2017) in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Universidade de Lisboa. I am currently a Assistant Researcher at ISR and an Invited Assistant Professor at IST. My research interests include computer vision, machine learning, and deep learning. Currently accepting students.
"Beyond Points: Spherical Distributional Part Prototypes for Interpretable Classification" (link)
Arxiv, 2026
D. Leão, D. J. Araújo, M. R. Verdelho, A. Bissoto, J. C. Nascimento, C. Santiago, C. Barata
"Multi-scale Attention-Based Multiple Instance Learning for Breast Cancer Diagnosis" (link)
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025
M. Mourão, J. C. Nascimento, C. Santiago, M. Silveira
"Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels" (link)
International Journal of Human-Computer Studies, 2025
F. M. Calisto, J. M. Abrantes, C. Santiago, N. J. Nunes, J. C. Nascimento
"Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis" (link)
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024
D. J. Araújo, M. R. Verdelho, A. Bissoto, J. C. Nascimento, C. Santiago, C. Barata
"3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement" (link)
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024
F. Lino, C. Santiago, M. Marques
"Tracking and Counting Apples in Orchards Under Intermittent Occlusions and Low Frame Rates" (link)
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024
G. P. Matos, C. Santiago, J. P. Costeira, R. L. Saldanha, E. M. Morgado
"MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems" (link)
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024
T. Mota, M. R. Verdelho, D. J. Araújo, A. Bissoto, C. Santiago, C. Barata
TwinStream is a digital twin platform for water management that combines operational expertise with advanced data technologies. By integrating satellite observations, environmental monitoring and predictive models, the platform supports smarter and more resilient water management.
AI-Radiologist (2025-2026)
This project explores the implementation of a multimodal classification system for breast cancer at Hospital de Vila Real. It brings together AI researchers and clinicians to address the following challenges: multimodal fusion with missing data, model robustness, and continual learning.
Video_Filipa_Lino_93004.mp4Led by SENSEI, this project aims to develop AI-based technologies to personalize user shopping experience by automating the new generation of retail infrastructure. In particular, Computer Vision and Machine Learning are the core of our contribution to Smart Retail developments.
MIA-BREAST (2023-2026)
This project aims to develop new computer-aided diagnosis and detection systems that interact with radiologists to improve breast cancer detection. The system deals with multimodal images and produces fine-grained, concept-rich annotations to highlight malignant lesions and their characteristics.
Current
PhD
Diogo Araújo (CMU-PT Dual PhD)
Duarte Leão (CMU-PT Dual PhD)
Ágata Barros
Former
Daniela Medley (PhD)