About Me
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 researcher at ISR and an Invited Assistant Professor at IST. My research interests include computer vision, machine learning, and deep learning. Currently accepting students.
Recent Publications
"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
"Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes" (link)
8th ISIC Skin Image Analysis Workshop @ MICCAI, 2023
C. Santiago, M. Correia, M. R. Verdelho, A. Bissoto, C. Barata
HONORABLE MENTION AWARD
"XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision" (link)
Workshop on Interpretability of Machine Intelligence in Medical Image Computing @ MICCAI, 2023
M. Correia, A. Bissoto, C. Santiago, C. Barata
"Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis" (link)
Conference on Human Factors in Computing Systems (CHI), 2023
F. M. Calisto, J. Fernandes, M. Morais, C. Santiago, J. M. Abrantes, N. Nunes, J. C. Nascimento
"Unsupervised Domain Adaptation for Video Violence Detection in the Wild" (link)
3rd International Conference on Image Processing and Vision Engineering (IMPROVE), 2023
L. Ciampi, C. Santiago, J. P. Costeira, F. Falchi, C. Gennaro, G. Amato
BEST PAPER AWARD
Projects
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.
Developing new computer-aided diagnosis and detection systems that interact with radiologists to improve breast cancer detection. These systems deal with multimodal images and produce fine-grained, concept-rich annotations to highlight malignant lesions and their characteristics.
Team
Current
PhD
Gonçalo Matos
Filipa Lino
Diogo Araújo
Marc Golub
MSc
João Santos
Rita Pereira
Rui Daniel
Rita Mendes
Yandi Jiang
Tomás Martins
Catarina Palmeirão
Tatiana Delgado
João Penetra
João Bernardo Santos
Mariana Mourão
Former
Daniela Medley (PhD)
Bernardo Morais (MSc)
Rostislav Andreev (MSc)
António Lilaia (MSc)
Raúl Vaqueiro (MSc)
Gonçalo Teixeira (MSc)
Dora Lourenço (MSc)
Miguel Correia (MSc)
Tiago Mota (MSc)
André Fernandes (MSc)