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Carlos Santiago
Carlos Santiago
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa
Dirección de correo verificada de tecnico.ulisboa.pt - Página principal
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Citado por
Citado por
Año
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
FM Calisto, C Santiago, N Nunes, JC Nascimento
International Journal of Human-Computer Studies 150, 102607, 2021
512021
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
FM Calisto, C Santiago, N Nunes, JC Nascimento
Artificial Intelligence in Medicine 127, 102285, 2022
352022
Fast segmentation of the left ventricle in cardiac MRI using dynamic programming
C Santiago, JC Nascimento, JS Marques
Computer methods and programs in biomedicine 154, 9-23, 2018
322018
2D Segmentation Using a Robust Active Shape Model With the EM Algorithm
C Santiago, J Nascimento, J Marques
Image Processing, IEEE Transactions on 24 (8), 2592-2601, 2015
322015
A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes
C Santiago, JC Nascimento, JS Marques
Neural Computing and Applications 28, 2489-2500, 2017
242017
Domain Adaptation for Traffic Density Estimation.
L Ciampi, C Santiago, JP Costeira, C Gennaro, G Amato
VISIGRAPP (5: VISAPP), 185-195, 2021
182021
LOW: Training deep neural networks by learning optimal sample weights
C Santiago, C Barata, M Sasdelli, G Carneiro, JC Nascimento
Pattern Recognition 110, 107585, 2020
182020
Improving the explainability of skin cancer diagnosis using CBIR
C Barata, C Santiago
International Conference on Medical Image Computing and Computer-Assisted …, 2021
172021
Deep active shape model for robust object fitting
DO Medley, C Santiago, JC Nascimento
IEEE Transactions on Image Processing 29, 2380-2394, 2019
172019
Unsupervised vehicle counting via multiple camera domain adaptation
L Ciampi, C Santiago, JP Costeira, C Gennaro, G Amato
arXiv preprint arXiv:2004.09251, 2020
142020
Automatic 3-D segmentation of endocardial border of the left ventricle from ultrasound images
C Santiago, JC Nascimento, JS Marques
IEEE journal of biomedical and health informatics 19 (1), 339-348, 2014
142014
Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model
C Santiago, JC Nascimento, JS Marques
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
132015
Segmenting the left ventricle in cardiac in cardiac MRI: From handcrafted to deep region based descriptors
DO Medley, C Santiago, JC Nascimento
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
112019
Cycoseg: a cyclic collaborative framework for automated medical image segmentation
DO Medley, C Santiago, JC Nascimento
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8167 …, 2021
82021
Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming
C Santiago, JC Nascimento, JS Marques
2017 IEEE International Conference on Image Processing (ICIP), 1747-1751, 2017
82017
Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis
FM Calisto, J Fernandes, M Morais, C Santiago, JM Abrantes, N Nunes, ...
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
72023
Learning to count biological structures with raters’ uncertainty
L Ciampi, F Carrara, V Totaro, R Mazziotti, L Lupori, C Santiago, G Amato, ...
Medical Image Analysis 80, 102500, 2022
62022
Robust feature descriptors for object segmentation using active shape models
D Medley, C Santiago, JC Nascimento
Advanced Concepts for Intelligent Vision Systems: 19th International …, 2018
62018
A robust active shape model using an expectation-maximization framework
C Santiago, JC Nascimento, JS Marques
2014 IEEE International Conference on Image Processing (ICIP), 6076-6080, 2014
62014
A robust deformable model for 3D segmentation of the left ventricle from ultrasound data
C Santiago, JS Marques, JC Nascimento
Mathematical Methodologies in Pattern Recognition and Machine Learning …, 2013
62013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20