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Carlos Santiago

Research Assistant

Position: Assistant Researcher and Invited Assistant Professor

Group: Signal and Image Processing Group (SIPG)

Phone: +351-218418270

Office: 7.14

Personal page: https://sites.google.com/tecnico.ulisboa.pt/carlossantiago

FCT: J549960wCrYp

[1] SPARSIS – Sparse Modeling and Estimation of Motion Fields – FCT [2016-07; 2019-12]
[1] Luca Ciampi, Fabio Carrara, Valentino Totaro, Raffaele Mazziotti, Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro "Learning to count biological structures with raters’ uncertainty", Medical Image Analysis, vo. 80, pp. 102500, 2022
[2] Francisco Calisto, Carlos Santiago, Nuno Nunes, Jacinto Nascimento "BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions", Artificial Intelligence in Medicine, 127, pp.102285, May, 2022
[3] Francisco Calisto, Carlos Santiago, Nuno Nunes, Jacinto Nascimento "BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions", Artificial Intelligence in Medicine Volume 127, 102285, 2022
[4] Carlos Santiago, Daniela Medley, Jorge Salvador Marques, Jacinto Nascimento "Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields", IEEE Transactions on Image Processing, vol. 31, pp. 2478-2487, March, 2022
[5] Daniela Medley, Carlos Santiago, Jacinto Nascimento "CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
[6] Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto Nascimento "LOW: Training deep neural networks by learning optimal sample weights", Pattern Recognition, vol.110, February, 2021
[7] Francisco Calisto, Carlos Santiago, Nuno Nunes, Jacinto Nascimento "Introduction of Human-Centric AI Assistant to Aid Radiologists for Multimodal Breast Image Classification", International Journal of Human-Computer Studies, Vol. 150, 102607, 2021
[8] Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto Nascimento "LOW: Training Deep Neural Networks by Learning Optimal Sample Weights", Pattern Recognition, Elsevier, Vol.110 , 2020 - PDF
[9] Daniela Medley, Carlos Santiago, Jacinto Nascimento "Deep Active Shape Model for Robust Object Fitting", IEEE Transactions on Image Processing, 2019
[10] 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
[11] 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
[12] 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
[13] 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

No publications found for author "cap-carlosjorgemariz"

[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] Miguel Cardoso, Carlos Santiago, Jacinto Nascimento "Using Counterfactual Information for Breast Classification Diagnosis", IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024
[2] Diogo Araújo, Maria Rita Verdelho, Alceu Bissoto, Jacinto Nascimento, Carlos Santiago, Catarina Barata "Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis", IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024
[3] Tiago Mota, Maria Rita Verdelho, Diogo Araújo, Alceu Bissoto, Carlos Santiago, Catarina Barata "MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems", IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024
[4] Filipa Lino, Carlos Santiago, Manuel Marques "3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement", IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024
[5] Gonçalo Matos, Carlos Santiago, João Paulo Costeira, Ricardo Saldanha, Ernesto Morgado "Tracking and Counting Apples in Orchards Under Intermittent Occlusions and Low Frame Rates", IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024
[6] Margarida Morais, Francisco Calisto, Carlos Santiago, Clara Aleluia, Jacinto Nascimento "Classification of Breast Cancer in MRI with Multimodal Fusion", Proc. of ISBI 2023 - 20th IEEE International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, 2023
[7] Carlos Santiago, Miguel Correia , Maria Rita Verdelho, Alceu Bissoto, Catarina Barata "Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes", Medical Image Computing and Computer Assisted Intervention (MICCAI) IMIMIC Workshop, 2023
[8] Francisco Calisto, Joao Fernandes, Margarida Morais, Carlos Santiago, João Maria Abrantes, Nuno Nunes, Jacinto Nascimento "Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis", ACM CHI Conference on Human Factors in Computing Systems, 2023
[9] Miguel Correia , Alceu Bissoto, Carlos Santiago, Catarina Barata "XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision", Medical Image Computing and Computer Assisted Intervention (MICCAI) IMIMIC Workshop, 2023
[10] Luca Ciampi, Carlos Santiago, João Paulo Costeira, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato "Unsupervised Domain Adaptation for Video Violence Detection in the Wild", Proceedings of the 3rd International Conference on Image Processing and Vision Engineering (IMPROVE), 2023
[11] Marc Golub, Carlos Santiago, C. Baleia, P. Lopes, A. M. Ferreira, Rita Gouveia Nunes, Jacinto Nascimento "Convolutional siamese networks for myocardial lesion classification in T1 maps", International Symposium on Biomedical Imaging , 2023 - PDF
[12] Pedro Diogo, Margarida Morais, Francisco Calisto, Carlos Santiago, Clara Aleluia, Jacinto Nascimento "Weakly-Supervised Diagnosis and Detection of Breast Cancer using Deep Multiple Instance Learning", IEEE Int. Symp. on Biomedical Imaging, (ISBI), 2023
[13] João Bernardo Morais, Carlos Santiago, João Paulo Costeira "Say Yes To The Fetch: Product Retrieval on a Structured Multimodal Catalog", AI2ASE Workshop at the AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada (virtual), 2022
[14] Ricardo Gamelas Sousa, Pedro Ferreira, Pedro Moreira Costa, Pedro Azevedo, João Paulo Costeira, Carlos Santiago, João Magalhães, David Semedo, Rafael Ferreira, Alexander Rudnicky, Alex Hauptmann "iFetch: Multimodal Conversational Agents for the Online Fashion Marketplace", Proc. of MuCAI 2021 - 2nd ACM Multimedia Workshop on Multimodal Conversational AI (virtual), pp. 25-26, 2021
[15] Carlos Santiago, Ricardo Gamelas Sousa, João Magalhães, Alex Hauptmann "MuCAI’21: 2nd ACM Multimedia Workshop on Multimodal Conversational AI", Proc. of the MM 2021 - 29th ACM International Conference on Multimedia, Chengdu, China, pp. 5702-5703, 2021
[16] Catarina Barata, Carlos Santiago "Improving the Explainability of Skin Cancer Diagnosis Using CBIR", Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. Lecture Notes in Computer Science, vol. 12903, pp. 550-559, Springer, Cham, 2021
[17] Catarina Barata, Carlos Santiago "How Important Is Each Dermoscopy Image?", ISIC Skin Image Analysis Workshop at IEEE International Conference on Computer Vision and Pattern Recognition, Virtual Conference, 2020
[18] Carlos Santiago, Duarte M Alves, Beatriz Ferreira, João Carvalho, Alberto Messina, João Paulo Costeira "Video Analysis Based on Human Pose for Unsupervised Summarization and Retrieval", Proc. of International Conference on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, 2019
[19] 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
[20] 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
[21] 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
[22] 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
[23] 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
[24] 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
[25] 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
[26] 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
[27] 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
[28] 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
[29] 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
[30] 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
[31] 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
[1] Carlos Santiago "Adjustment of Deformable Models to Organ Surfaces in 3D Images", 2011

No publications found for author "cap-carlosjorgemariz"

No publications found for author "cap-carlosjorgemariz"

No publications found for author "cap-carlosjorgemariz"

No publications found for author "cap-carlosjorgemariz"

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