Carlos Santiago
Post-Doc Researchers
Current Projects
| Acronym | Name | Funding | Dates |
|---|---|---|---|
| SPARSIS | Sparse Modeling and Estimation of Motion Fields | FCT | 2016-07|2019-06 |
Journal Papers
[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast segmentation of the left ventricle in cardiac MRI using dynamic programming, Computer Methods and Programs in Biomedicine, Vol. 154, pp. 9-23, February, 2018 - PDF
[2] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes, Neural Computing and Applications, pp. 1–12, May, 2016
[3] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 2D Segmentation Using a Robust Active Shape Model with the EM Algorithm, IEEE Transactions on Image Processing, Vol. 24, No. 8, pp. 2592-2601, August, 2015
[4] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images, IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 1, pp. 339 - 348, January, 2015 - PDF
Book Chapters
[5] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A 3D Active Shape Model for Left Ventricle Segmentation in MRI, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 4, pp. 99-115, CRC Press, 2016
[6] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust Deformable Models for 2D and 3D Shape Estimation, In Deformation Models, M. Gonzalez, A. Mir, J. Varonav (Eds.), Springer, LNCVB-7, 2013
[7] Carlos Santiago, Jorge S. Marques, Jacinto Nascimento, A robust deformable model for 3D Segmentation of the Left Ventricle from Ultrasound Data, Mathematical Methodologies in Pattern Recognition and Machine Learning, Springer Proceedings in Mathematics and Statistics, vol. 30, pp. 163-178, 2013
Conference Papers
[8] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[9] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the Left Ventricle in Cardiac MRI using a Robust Active Shape Model Approach, Proc. of RecPad 2016 - 22nd edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2016 - PDF
[10] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new robust active shape model formulation for cardiac MRI segmentation, Proc. of ICIP 2016 - IEEE International Conference on Image Processing, Phoenix, Arizona, USA, 2016
[11] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model, Proc. of EMBC 2015 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015
[12] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI, (best paper award), Proc. of IbPRIA 2015 - 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain, June, 2015
[13] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Non-rigid Object Segmentation Using Robust Active Shape Models, Proc. of AMDO 2014 - VII Conference on Articulated Motion and Deformable Objects. Lecture Notes in Computer Science, Vol. 8563, pp. 160-169, Palma de Mallorca, Spain, 2014
[14] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A Robust Active Shape Model Using an Expectation-Maximization Framework, Proc. of ICIP 2014 - IEEE International Conference on Image Processing, Paris, France, 2014 - PDF
[15] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 3D Left Ventricular Segmentation in Echocardiography using a Probabilistic Data Association Deformable Model, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, Melbourne, Australia, 2013
[16] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Performance Evaluation of Point Matching Algorithms for Left Ventricle Motion Analysis in MRI, Proc. of EMBC 2013 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, pp. 4398-4401, 2013
PhD Theses
[17] Carlos Santiago, Segmentation of the Left Ventricle in Cardiac Magnetic Resonance, Ph.D. Thesis, Instituto Superior Tecnico, Universidade de Lisboa, July, 2017
[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast segmentation of the left ventricle in cardiac MRI using dynamic programming, Computer Methods and Programs in Biomedicine, Vol. 154, pp. 9-23, February, 2018 - PDF
[2] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes, Neural Computing and Applications, pp. 1–12, May, 2016
[3] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 2D Segmentation Using a Robust Active Shape Model with the EM Algorithm, IEEE Transactions on Image Processing, Vol. 24, No. 8, pp. 2592-2601, August, 2015
[4] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images, IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 1, pp. 339 - 348, January, 2015 - PDF
[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A 3D Active Shape Model for Left Ventricle Segmentation in MRI, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 4, pp. 99-115, CRC Press, 2016
[2] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust Deformable Models for 2D and 3D Shape Estimation, In Deformation Models, M. Gonzalez, A. Mir, J. Varonav (Eds.), Springer, LNCVB-7, 2013
[3] Carlos Santiago, Jorge S. Marques, Jacinto Nascimento, A robust deformable model for 3D Segmentation of the Left Ventricle from Ultrasound Data, Mathematical Methodologies in Pattern Recognition and Machine Learning, Springer Proceedings in Mathematics and Statistics, vol. 30, pp. 163-178, 2013
[1] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming, Proc. of ICIP 2017 - IEEE International Conference on Image Processing, Beijing, China, 2017
[2] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the Left Ventricle in Cardiac MRI using a Robust Active Shape Model Approach, Proc. of RecPad 2016 - 22nd edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2016 - PDF
[3] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A new robust active shape model formulation for cardiac MRI segmentation, Proc. of ICIP 2016 - IEEE International Conference on Image Processing, Phoenix, Arizona, USA, 2016
[4] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model, Proc. of EMBC 2015 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015
[5] Jorge S. Marques, Jacinto Nascimento, Carlos Santiago, Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI, (best paper award), Proc. of IbPRIA 2015 - 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain, June, 2015
[6] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Non-rigid Object Segmentation Using Robust Active Shape Models, Proc. of AMDO 2014 - VII Conference on Articulated Motion and Deformable Objects. Lecture Notes in Computer Science, Vol. 8563, pp. 160-169, Palma de Mallorca, Spain, 2014
[7] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, A Robust Active Shape Model Using an Expectation-Maximization Framework, Proc. of ICIP 2014 - IEEE International Conference on Image Processing, Paris, France, 2014 - PDF
[8] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, 3D Left Ventricular Segmentation in Echocardiography using a Probabilistic Data Association Deformable Model, Proc. of ICIP 2013 - IEEE International Conference on Image Processing, Melbourne, Australia, 2013
[9] Carlos Santiago, Jacinto Nascimento, Jorge S. Marques, Performance Evaluation of Point Matching Algorithms for Left Ventricle Motion Analysis in MRI, Proc. of EMBC 2013 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, pp. 4398-4401, 2013
[1] Carlos Santiago, Segmentation of the Left Ventricle in Cardiac Magnetic Resonance, Ph.D. Thesis, Instituto Superior Tecnico, Universidade de Lisboa, July, 2017
In the same group
Agni Mantouka
Sérgio Agostinho
Pedro Aguiar
Inês Borges de Almeida
José Miguel Antunes
Lucas Balthazar
Helena Barros
Victor Barroso
Marko Beko
João Quartin Borges
Rogério Calazan
Francisco Calisto
Pedro Cardoso
João Carvalho
Ivo Cortez
João Paulo Costeira
Hans Du Buf
Paulo Felisberto
Ricardo Fernandes
Beatriz Ferreira
João Pedro Gomes
Pedro Guerreiro
Pedro Guerreiro
Qiwei Han
Sérgio Jesus
Pusheng Ji
Roberto Lam
Isabel Lourtie
Vasco Ludovico
Lussac Maia
Zita Marinho
Manuel Marques
Bernardo Marques
Nelson Martins
Celestino Martins
Dmytro Maslov
Alexandre Matos
Inês Pereira de Matos
Manuel Melo
Jacinto Nascimento
Filipa Oliveira
João Rodrigues
Orlando Rodriguez
Mário Saleiro
Carlos Santiago
Paulo Santos
Ana Bela Santos
João Saúde
Joao Semedo
Diogo Serra
António Silva
Luís Silva
Gonçalo Silva
Catarina Silva
Margarida Silveira
António Simões
Cristiano Soares
Cláudia Soares
Brian Swenson
Miguel Araújo Vasques
Jayakorn Vongkulbhisal
João Xavier
Ehsan Zamanizadeh
Sabina Zejnilović
ShanghangZhang