Explainable Deep Learning Methods in Medical Image Classification: A Survey.
Patrício, C and Neves, C and Teixeira, F,
ACM COMPUTING SURVEYS , 2024
DOI:https://doi.org/10.1145/3625287

Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data.
Silva, D and Agrotis, G and Tan, RB and Teixeira, LF and Silva, W,
International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023 ICMLA, 2023
DOI:https://doi.org/10.1109/icmla58977.2023.00213

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis.
Patrício, C and Neves, C and Teixeira, F,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops , 2023
DOI:https://doi.org/10.1109/cvprw59228.2023.00394

Deep learning-based human action recognition to leverage context awareness in collaborative assembly.
Moutinho, D and Rocha, LF and Costa, CM and Teixeira, LF and Veiga, G,
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING , 2023
DOI:https://doi.org/10.1016/j.rcim.2022.102449

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023.
Montenegro, H and Neto, PC and Patrício, C and Torto, IR and Gonçalves, T and Teixeira, LF,
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CEUR Workshop Proceedings, 2023

GASTeN: Generative Adversarial Stress Test Networks.
Cunha, L and Soares, C and Restivo, A and Teixeira, LF,
ADVANCES IN INTELLIGENT DATA ANALYSIS XXI, IDA 2023 Lecture Notes in Computer Science, 2023
DOI:https://doi.org/10.1007/978-3-031-30047-9_8

MobileWeatherNet for LiDAR-Only Weather Estimation.
da Silva, MP and Carneiro, D and Fernandes, J and Texeira, LF,
2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN IEEE International Joint Conference on Neural Networks (IJCNN), 2023
DOI:https://doi.org/10.1109/ijcnn54540.2023.10191333

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models.
Patrício, C and Teixeira, LF and Neves, JC,
CoRR , 2023

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?.
Goncalves, T and Rio-Torto, I and Teixeira, LF and Cardoso, JS,
IEEE ACCESS , 2022
DOI:https://doi.org/10.1109/access.2022.3206449

Classification of Facial Expressions Under Partial Occlusion for VR Games.
Rodrigues, ASF and Lopes, JC and Lopes, RP and Teixeira, LF,
OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2022 Communications in Computer and Information Science, 2022
DOI:https://doi.org/10.1007/978-3-031-23236-7_55

Detection of Epilepsy in EEGs Using Deep Sequence Models - A Comparative Study.
Marques, M and Lourenco, CD and Teixeira, LF,
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022) Lecture Notes in Computer Science, 2022
DOI:https://doi.org/10.1007/978-3-031-04881-4_16

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.
Rio-Torto, I and Cardoso, JS and Teixeira, LF,
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022) Lecture Notes in Computer Science, 2022
DOI:https://doi.org/10.1007/978-3-031-04881-4_5

Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data.
Rio-Torto, I and Campanico, AT and Pinho, P and Filipe, V and Teixeira, LF,
APPLIED SCIENCES-BASEL , 2022
DOI:https://doi.org/10.3390/app12115687

Pattern Recognition and Image Analysis. - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4–6, 2022, Proceedings.
Pinho, AJ and Georgieva, P and Teixeira, LF and Sánchez, JA,
Lecture Notes in Computer Science , 2022
DOI:https://doi.org/10.1007/978-3-031-04881-4

Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings.
Pinho, AJ and Georgieva, P and Teixeira, LF and Sánchez, JA,
IbPRIA Lecture Notes in Computer Science, 2022

Adversarial Data Augmentation on Breast MRI Segmentation.
Teixeira, JF and Dias, M and Batista, E and Costa, J and Teixeira, LF and Oliveira, HP,
APPLIED SCIENCES-BASEL , 2021
DOI:https://doi.org/10.3390/app11104554

Automatic quality inspection in the automotive industry: a hierarchical approach using simulated data.
Rio-Torto, I and Campanico, AT and Pereira, A and Teixeira, LF and Filipe, V,
2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA) , 2021
DOI:https://doi.org/10.1109/iciea52957.2021.9436742

Cervical Cancer Detection and Classification in Cytology Images Using a Hybrid Approach.
Silva, EL and Sampaio, AF and Teixeira, LF and Vasconcelos, MJM,
ADVANCES IN VISUAL COMPUTING (ISVC 2021), PT II Lecture Notes in Computer Science, 2021
DOI:https://doi.org/10.1007/978-3-030-90436-4_24

Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images.
Andrade, C and Teixeira, LF and Vasconcelos, MJM and Rosado, L,
JOURNAL OF IMAGING , 2021
DOI:https://doi.org/10.3390/jimaging7010002

Improving Automatic Quality Inspection in the Automotive Industry by Combining Simulated and Real Data.
Pinho, P and Rio Torto, I and Teixeira, LF,
ADVANCES IN VISUAL COMPUTING (ISVC 2021), PT I Lecture Notes in Computer Science, 2021
DOI:https://doi.org/10.1007/978-3-030-90439-5_22

Incremental Learning for Dermatological Imaging Modality Classification.
Morgado, AC and Andrade, C and Teixeira, LF and Vasconcelos, MJM,
JOURNAL OF IMAGING , 2021
DOI:https://doi.org/10.3390/jimaging7090180

Deep Learning for Interictal Epileptiform Discharge Detection from Scalp EEG Recordings.
Lourenco, C and Tjepkema Cloostermans, MC and Teixeira, LF and van Putten, MJAM,
XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019 IFMBE Proceedings, 2020
DOI:https://doi.org/10.1007/978-3-030-31635-8_237

Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images.
Andrade, C and Teixeira, LF and Vasconcelos, MJM and Rosado, L,
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part II Lecture Notes in Computer Science, 2020
DOI:https://doi.org/10.1007/978-3-030-50516-5_20

Understanding the decisions of CNNs: An in-model approach.
Rio Torto, I and Fernandes, K and Teixeira, LF,
PATTERN RECOGNITION LETTERS , 2020
DOI:https://doi.org/10.1016/j.patrec.2020.04.004

Understanding the Impact of Artificial Intelligence on Services.
Ferreira, P and Teixeira, JG and Teixeira, LF,
EXPLORING SERVICE SCIENCE (IESS 2020) Lecture Notes in Business Information Processing, 2020
DOI:https://doi.org/10.1007/978-3-030-38724-2_15

Using autoencoders as a weight initialization method on deep neural networks for disease detection.
Ferreira, MF and Camacho, R and Teixeira, LF,
BMC MEDICAL INFORMATICS AND DECISION MAKING , 2020
DOI:https://doi.org/10.1186/s12911-020-01150-w

GarmNet: Improving Global with Local Perception for Robotic Laundry Folding.
Gomes, DF and Luo, S and Teixeira, LF,
Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, London, UK, July 3-5, 2019, Proceedings, Part II Lecture Notes in Computer Science, 2019
DOI:https://doi.org/10.1007/978-3-030-25332-5_5

Towards a Joint Approach to Produce Decisions and Explanations Using CNNs.
Torto, IR and Fernandes, K and Teixeira, LF,
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I Lecture Notes in Computer Science, 2019
DOI:https://doi.org/10.1007/978-3-030-31332-6_1

Autoencoders as Weight Initialization of Deep Classification Networks Applied to Papillary Thyroid Carcinoma.
Ferreira, MF and Camacho, R and Teixeira, LF,
PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) IEEE International Conference on Bioinformatics and Biomedicine-BIBM, 2018
DOI:https://doi.org/10.1109/BIBM.2018.8621356

Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning.
Bernardino, J and Teixeira, LF and Ferreira, HS,
CoRR , 2018

Human-Robot Interaction Based on Gestures for Service Robots.
de Sousa, P and Esteves, T and Campos, D and Duarte, F and Santos, J and Leao, J and Xavier, J and de Matos, L and Camarneiro, M and Penas, M and Miranda, M and Silva, R and Neves, AJR and Teixeira, L,
VIPIMAGE 2017 Lecture Notes in Computational Vision and Biomechanics, 2018
DOI:https://doi.org/10.1007/978-3-319-68195-5_76

Pre-trained Convolutional Networks and Generative Statistical Models: A Comparative Study in Large Datasets.
Michael, J and Teixeira, LF,
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2017) Lecture Notes in Computer Science, 2017
DOI:https://doi.org/10.1007/978-3-319-58838-4_8

User interface design guidelines for smartphone applications for people with Parkinson's disease.
Nunes, F and Silva, PA and Cevada, J and Barros, AC and Teixeira, L,
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY , 2016
DOI:https://doi.org/10.1007/s10209-015-0440-1

Visual-Inertial Based Autonomous Navigation.
Martins, FD and Teixeira, LF and Nobrega, R,
ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 2 Advances in Intelligent Systems and Computing, 2016
DOI:https://doi.org/10.1007/978-3-319-27149-1_43

Analysis of Expressiveness of Portuguese Sign Language Speakers.
Rodrigues, IV and Pereira, EM and Teixeira, LF,
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015) Lecture Notes in Computer Science, 2015
DOI:https://doi.org/10.1007/978-3-319-19390-8_79

Automatic Analysis of Lung Function Based on Smartphone Recordings.
Teixeira, JF and Teixeira, LF and Fonseca, J and Jacinto, T,
BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, BIOSTEC 2015 Communications in Computer and Information Science, 2015
DOI:https://doi.org/10.1007/978-3-319-27707-3_24

Experimental Evaluation of the Bag-of-Features Model for Unsupervised Learning of Images.
Afonso, M and Teixeira, LF,
Proceedings of the British Machine Vision Conference 2015, BMVC 2015, Swansea, UK, September 7-10, 2015 BMVC, 2015
DOI:https://doi.org/10.5244/c.29.146

Learning from evolving video streams in a multi-camera scenario.
Khoshrou, S and Cardoso, JS and Teixeira, LF,
MACHINE LEARNING , 2015
DOI:https://doi.org/10.1007/s10994-015-5515-y

Lung Function Classification of Smartphone Recordings - Comparison of Signal Processing and Machine Learning Combination Sets.
Teixeira, JF and Teixeira, LF and Fonseca, J and Jacinto, T,
HEALTHINF 2015 - Proceedings of the International Conference on Health Informatics, Lisbon, Portugal, 12-15 January, 2015. HEALTHINF, 2015
DOI:https://doi.org/10.5220/0005222001230130

Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams.
Khoshrou, S and Cardoso, JS and Granger, E and Teixeira, LF,
ADVANCES IN VISUAL COMPUTING, PT II (ISVC 2015) Lecture Notes in Computer Science, 2015
DOI:https://doi.org/10.1007/978-3-319-27863-6_47

Active Learning from Video Streams in a Multi-Camera Scenario.
Khoshrou, S and Cardoso, JS and Teixeira, LF,
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) International Conference on Pattern Recognition, 2014
DOI:https://doi.org/10.1109/icpr.2014.224

Active Mining of Parallel Video Streams.
Khoshrou, Samaneh and Cardoso, JaimeS. and Teixeira, LuisFilipe,
CoRR , 2014

Analysis of object description methods in a video object tracking environment.
Carvalho, P and Oliveira, T and Ciobanu, L and Gaspar, F and Teixeira, LF and Bastos, R and Cardoso, JS and Dias, MS and Corte Real, L,
MACHINE VISION AND APPLICATIONS , 2013
DOI:https://doi.org/10.1007/s00138-013-0523-z

Senior-driven design and development of tablet-based cognitive games.
Marques, J and Vasconcelos, A and Teixeira, LF,
Studies in Health Technology and Informatics , 2013
DOI:https://doi.org/10.3233/978-1-61499-268-4-133

AUTOMATIC DESCRIPTION OF OBJECT APPEARANCES IN A WIDE-AREA SURVEILLANCE SCENARIO.
Teixeira, LF and Carvalho, P and Cardoso, JS and Corte Real, L,
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) IEEE International Conference on Image Processing ICIP, 2012
DOI:https://doi.org/10.1109/icip.2012.6467183

Designing tablet-based games for seniors: the example of CogniPlay, a cognitive gaming platform. - the example of CogniPlay, a cognitive gaming platform.
Vasconcelos, A and Silva, PA and Caseiro, J and Nunes, F and Teixeira, LF,
Proceedings of the 4th International Conference on Fun and Games, Fun and Games 2012, Toulouse, France, September 4-6, 2012 Fun and Games, 2012
DOI:https://doi.org/10.1145/2367616.2367617

Partition-distance methods for assessing spatial segmentations of images and videos.
Cardoso, JS and Carvalho, P and Teixeira, LF and Corte Real, L,
COMPUTER VISION AND IMAGE UNDERSTANDING , 2009
DOI:https://doi.org/10.1016/j.cviu.2009.02.001

Video object matching across multiple independent views using local descriptors and adaptive learning.
Teixeira, LF and Corte Real, L,
PATTERN RECOGNITION LETTERS , 2009
DOI:https://doi.org/10.1016/j.patrec.2008.04.001

Automatic system for the recognition of amounts in handwritten cheques.
Coelho, F and Batista, L and Teixeira, LF and Cardoso, JS,
SIGMAP 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS SIGMAP, 2008

Breast Contour Detection with Stable Paths.
Cardoso, JS and Sousa, R and Teixeira, LF and Cardoso, MJ,
BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, 2008
DOI:https://doi.org/10.1007/978-3-540-92219-3_33

Building modular surveillance systems based on multiple sources of information - Architecture and requirements.
Duraes, D and Teixeira, LF and Corte Real, L,
SIGMAP 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS SIGMAP, 2008

Interoperability and the Marsyas 0.2 runtime.
Tzanetakis, G and Jones, R and Castillo, C and Martins, LG and Teixeira, LF and Lagrange, M,
International Computer Music Conference, ICMC 2008 ICMC, 2008

MarsyasX: multimedia dataflow processing with implicit patching. - multimedia dataflow processing with implicit patching.
Teixeira, LF and Martins, LG and Lagrange, M and Tzanetakis, G,
Proceedings of the 16th International Conference on Multimedia 2008, Vancouver, British Columbia, Canada, October 26-31, 2008 ACM Multimedia, 2008
DOI:https://doi.org/10.1145/1459359.1459510

Tomatic breast contour detection in digital photographs.
Cardoso, JS and Teixeira, LF and Cardoso, MJ,
HEALTHINF 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, VOL 2 HEALTHINF (2), 2008

Cascaded change detection for foreground segmentation.
Teixeira, LF and Corte Real, L,
2007 IEEE Workshop on Motion and Video Computing, WMVC 2007 , 2007
DOI:https://doi.org/10.1109/wmvc.2007.11

Object segmentation using background modelling and cascaded change detection.
Teixeira, LF and Cardoso, JS and Corte Real, L,
Journal of Multimedia , 2007
DOI:https://doi.org/10.4304/jmm.2.5.55-65

Speaker segmentation of interviews using integrated video and audio change detectors.
Lagrange, M and Martins, LG and Teixeira, LF and Tzanetakis, G,
2007 INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING, PROCEEDINGS CBMI, 2007
DOI:https://doi.org/10.1109/cbmi.2007.385415

Turning subjective into objective: The BCCT.core software for evaluation of cosmetic results in breast cancer conservative treatment.
Cardoso, MJ and Cardoso, J and Amaral, N and Azevedo, I and Barreau, L and Bernardo, M and Christie, D and Costa, S and Fitzal, F and Fougo, JL and Johansen, J and Macmillan, D and Mano, MP and Regolo, L and Rosa, J and Teixeira, L and Vrieling, C,
BREAST , 2007
DOI:https://doi.org/10.1016/j.breast.2007.05.002