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ORCIDTiago Gonçalves 0001
Person information
- affiliation: Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Porto, Portugal
Other persons with the same name
- Tiago Gonçalves — disambiguation page
- Tiago Gonçalves 0002
![[0000-0001-6197-7366]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6197-7366")
— Universidade de Lisboa, Lisbon, Portugal - Tiago Gonçalves 0003 — ISEG - Instituto Superior de Economia e Gestão, Lisbon, Portugal
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Journal Articles
- 2023
[j4]Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco:
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. Mach. Vis. Appl. 34(1): 16 (2023)- [j3]Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso:
Two-Stage Framework for Faster Semantic Segmentation. Sensors 23(6): 3092 (2023) - 2022
- [j2]Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso:
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? IEEE Access 10: 98909-98935 (2022) - 2021
- [j1]Ana Filipa Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso:
An exploratory study of interpretability for face presentation attack detection. IET Biom. 10(4): 441-455 (2021)
Conference and Workshop Papers
- 2025
- [c23]Carolina Albuquerque, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira:
An Integrated and User-Friendly Platform for the Deployment of Explainable Artificial Intelligence Methods Applied to Face Recognition. HCI (50) 2025: 3-22 - [c22]Pedro Sousa, Diogo Campas, João Andrade, Pedro Pereira, Tiago Gonçalves, Luís F. Teixeira, Tânia Pereira, Hélder P. Oliveira:
Enhancing Medical Image Analysis: A Pipeline Combining Synthetic Image Generation and Super-Resolution. IbPRIA (2) 2025: 122-133 - [c21]Leonardo Capozzi, Leonardo Ferreira, Tiago Gonçalves, Ana Rebelo, Jaime S. Cardoso, Ana Filipa Sequeira:
Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability. IbPRIA (2) 2025: 285-296 - [c20]Mohammad Hossein Zolfagharnasab, Tiago Gonçalves, Pedro Ferreira, Maria João Cardoso, Jaime S. Cardoso:
Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity. Deep-Breath@MICCAI 2025: 41-51 - [c19]Leonor Fernandes, Tiago Gonçalves, João Matos, Luis Filipe Nakayama, Jaime S. Cardoso:
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams. FAIMI@MICCAI 2025: 208-217 - [c18]Pedro Ferreira, Mohammad Hossein Zolfagharnasab, Tiago Gonçalves, Eduard Bonci, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso:
Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach. Deep-Breath@MICCAI 2025: 268-278 - 2024
- [c17]Maria Miguel Beirão, João Matos, Tiago Gonçalves, Camila Kase, Luis Filipe Nakayama, Denise de Freitas, Jaime S. Cardoso:
Classification of Keratitis from Eye Corneal Photographs using Deep Learning. BIBM 2024: 3060-3065 - [c16]Margarida Vieira, Tiago Gonçalves, Wilson Silva, Ana Filipa Sequeira:
An End-to-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection. BIOSIG 2024: 1-6 - [c15]Pedro C. Neto, Rafael M. Mamede, Carolina Albuquerque, Tiago Gonçalves, Ana Filipa Sequeira:
Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition. FG 2024: 1-7 - [c14]Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, Luís F. Teixeira:
On the Suitability of B-cos Networks for the Medical Domain. ISBI 2024: 1-5 - [c13]Mohammad Hossein Zolfagharnasab, Nuno Freitas, Tiago Gonçalves, Eduard Bonci, Carlos Mavioso, Maria João Cardoso, Hélder P. Oliveira, Jaime S. Cardoso:
Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach. Deep-Breath@MICCAI 2024: 137-147 - [c12]Inês Martins, João Matos, Tiago Gonçalves, Leo A. Celi, An-Kwok Ian Wong, Jaime S. Cardoso:
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking. AMAI@MICCAI 2024: 221-230 - 2023
- [c11]Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira:
Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. CLEF (Working Notes) 2023: 1596-1610 - [c10]Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso:
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. CLEF (Working Notes) 2023: 1653-1667 - [c9]Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. EUSIPCO 2023: 955-959 - [c8]Pedro Serrano e Silva, Ricardo P. M. Cruz, A. S. M. Shihavuddin, Tiago Gonçalves:
Interpretability-Guided Human Feedback During Neural Network Training. IbPRIA 2023: 276-287 - 2022
- [c7]Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. BIOSIG 2022: 173-181 - [c6]Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves:
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. CLEF (Working Notes) 2022: 1535-1553 - [c5]Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran B. Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc:
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2022: 1-10 - [c4]Diana Teixeira e Silva, Ricardo P. M. Cruz, Tiago Gonçalves, Diogo Carneiro:
Two-stage semantic segmentation in neural networks. ICMV 2022 - 2021
- [c3]Paulo Maia, Joana Morgado, Tiago Gonçalves, Tomé Albuquerque:
Applying Machine Learning for Traffic Forecasting in Porto, Portugal. PKDD/ECML Workshops (2) 2021: 299-308 - 2020
- [c2]João Ribeiro Pinto, Tiago Gonçalves, Carolina Pinto, Luís Sanhudo, Joaquim Fonseca, Filipe Gonçalves, Pedro Carvalho, Jaime S. Cardoso:
Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks. IPAS 2020: 114-119 - [c1]Ana Filipa Sequeira, Wilson Silva, João Ribeiro Pinto, Tiago Gonçalves, Jaime S. Cardoso:
Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? IWBF 2020: 1-6
Informal and Other Publications
- 2025
- [i10]Leonor Fernandes, Tiago Gonçalves, João Matos, Luis Filipe Nakayama, Jaime S. Cardoso:
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams. CoRR abs/2507.09640 (2025) - 2024
- [i9]Pedro C. Neto, Rafael M. Mamede, Carolina Albuquerque, Tiago Gonçalves, Ana Filipa Sequeira:
Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition. CoRR abs/2404.15234 (2024) - [i8]Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina Viktoria Hoebel, Mason C. Cleveland, Syed Rakin Ahmed, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, Albert E. Kim:
Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. CoRR abs/2404.16397 (2024) - [i7]Inês Martins, João Matos, Tiago Gonçalves, Leo A. Celi, An-Kwok Ian Wong, Jaime S. Cardoso:
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking. CoRR abs/2408.04396 (2024) - [i6]Maria Miguel Beirão, João Matos, Tiago Gonçalves, Camila Kase, Luis Filipe Nakayama, Denise de Freitas, Jaime S. Cardoso:
Classification of Keratitis from Eye Corneal Photographs using Deep Learning. CoRR abs/2411.08935 (2024) - 2023
- [i5]Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. CoRR abs/2306.03002 (2023) - 2022
- [i4]Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso:
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? CoRR abs/2204.12406 (2022) - [i3]Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran B. Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc:
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2208.07337 (2022) - [i2]Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. CoRR abs/2208.07841 (2022) - [i1]Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana Filipa Sequeira, Arun Ross, Jaime S. Cardoso:
Explainable Biometrics in the Age of Deep Learning. CoRR abs/2208.09500 (2022)
Coauthor Index
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