| 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 | 25 | 2015 |
| 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 | 18 | 2018 |
| 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 (9), 2489-2500, 2017 | 17 | 2017 |
| 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 | 15 | 2014 |
| 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 | 11 | 2015 |
| 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 | 6 | 2017 |
| 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 | 6 | 2014 |
| A new robust active shape model formulation for cardiac MRI segmentation C Santiago, JC Nascimento, JS Marques 2016 IEEE International Conference on Image Processing (ICIP), 4112-4115, 2016 | 5 | 2016 |
| 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 | 4 | 2019 |
| Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI C Santiago, JC Nascimento, JS Marques Iberian Conference on Pattern Recognition and Image Analysis, 283-290, 2015 | 4 | 2015 |
| 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, 163-178, 2013 | 4 | 2013 |
| Combining an active shape and motion models for object segmentation in image sequences C Santiago, JC Nascimento, JS Marques 2018 25th IEEE International Conference on Image Processing (ICIP), 3703-3707, 2018 | 3 | 2018 |
| 3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model C Santiago, JC Nascimento, JS Marques Image Processing (ICIP), 2013 20th IEEE International Conference on, 606-610, 2013 | 3 | 2013 |
| Deep Active Shape Model for Robust Object Fitting DO Medley, C Santiago, JC Nascimento IEEE Transactions on Image Processing 29, 2380-2394, 2019 | 2 | 2019 |
| Video analysis based on human pose for unsupervised summarization and retrieval C Santiago, DM Alves, BQ Ferreira, J Carvalho, A Messina, JP Costeira 2019 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2019 | 2 | 2019 |
| Robust feature descriptors for object segmentation using active shape models D Medley, C Santiago, JC Nascimento International Conference on Advanced Concepts for Intelligent Vision Systems …, 2018 | 2 | 2018 |
| Unsupervised vehicle counting via multiple camera domain adaptation L Ciampi, C Santiago, JP Costeira, C Gennaro, G Amato arXiv preprint arXiv:2004.09251, 2020 | 1 | 2020 |
| Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI C Santiago, JC Nascimento, JS Marques 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 1 | 2013 |
| 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, 102607, 2021 | | 2021 |
| 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 | | 2020 |
Jacinto C. NascimentoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico確認したメール アドレス: isr.ist.utl.pt
