Carlos Santiago
Post-Doc Researchers
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Current Projects
| Acronym | Name | Funding | Dates |
|---|---|---|---|
| SPARSIS | Sparse Modeling and Estimation of Motion Fields | FCT | 2016-07|2019-12 |
Journal Papers
[1] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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] J. Carmona, Rodolfo Abreu, Carlos Santiago, Alberto Leal, Jacinto Nascimento, Patrícia Figueiredo, Classification of sleep stages from fMRI dynamic functional connectivity using deep learning, Proc. of the ISMRM 27th Annual Meeting & Exhibition, Montréal, Quebec, Canada , 2019
[9] Daniela Medley, Carlos Santiago, Jacinto Nascimento, Segmenting the left ventricle in cardiac MRI: from handcrafted to deep region based descriptors, IEEE International Symposium on Biomedical Imaging (ISBI). Venice, Italy, 2019 - PDF
[10] Carlos Santiago, Jacinto Nascimento, Jorge Salvador Marques, Combining an Active Shape and Motion Models for object segmentation in Image Sequences, Proc. of IEEE International Conference on Image Processing (ICIP), 2018
[11] Daniela Medley, Carlos Santiago, Jacinto Nascimento, Robust Feature Descriptors for Object Segmentation Using Active Shape Models, Proc. of ACIVS 2018 - Advanced Concepts for Intelligent Vision Systems, Poitiers, France, 2018 - PDF
[12] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[13] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[14] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[15] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[16] Jorge Salvador 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
[17] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[18] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[19] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[20] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[21] 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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 Salvador 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] J. Carmona, Rodolfo Abreu, Carlos Santiago, Alberto Leal, Jacinto Nascimento, Patrícia Figueiredo, Classification of sleep stages from fMRI dynamic functional connectivity using deep learning, Proc. of the ISMRM 27th Annual Meeting & Exhibition, Montréal, Quebec, Canada , 2019
[2] Daniela Medley, Carlos Santiago, Jacinto Nascimento, Segmenting the left ventricle in cardiac MRI: from handcrafted to deep region based descriptors, IEEE International Symposium on Biomedical Imaging (ISBI). Venice, Italy, 2019 - PDF
[3] Carlos Santiago, Jacinto Nascimento, Jorge Salvador Marques, Combining an Active Shape and Motion Models for object segmentation in Image Sequences, Proc. of IEEE International Conference on Image Processing (ICIP), 2018
[4] Daniela Medley, Carlos Santiago, Jacinto Nascimento, Robust Feature Descriptors for Object Segmentation Using Active Shape Models, Proc. of ACIVS 2018 - Advanced Concepts for Intelligent Vision Systems, Poitiers, France, 2018 - PDF
[5] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[6] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[7] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[8] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[9] Jorge Salvador 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
[10] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[11] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[12] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
[13] Carlos Santiago, Jacinto Nascimento, Jorge Salvador 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
Sérgio Agostinho
Pedro Aguiar
José Miguel Antunes
Lucas Balthazar
Helena Barros
Victor Barroso
João Quartin Borges
Inês Almeida
Rogério Calazan
Francisco Calisto
Pedro Cardoso
Diogo 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
Agni Mantouka
Zita Marinho
Manuel Marques
Bernardo Marques
Nelson Martins
Celestino Martins
Dmytro Maslov
Alexandre Matos
Inês Pereira de Matos
Daniela Medley
Manuel Melo
Jacinto Nascimento
Miguel Costa
Filipa Oliveira
Gonçalo Pais
João Rodrigues
Orlando Rodriguez
Mário Saleiro
Carlos Santiago
Paulo Santos
Ana Bela Santos
João Saúde
Joao Semedo
António Silva
Luís Silva
Silva
Catarina Silva
Margarida Silveira
António Simões
Cristiano Soares
Cláudia Soares
Brian Swenson
Slavisa
Miguel Araújo Vasques
David Vicente
Jayakorn Vongkulbhisal
João Xavier
Ehsan Zamanizadeh
Sabina Zejnilović