| [248] | Background Invariance by Adversarial Learning (Ricardo Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto Costa, Jaime S. Cardoso), In Proceedings of 25th International Conference on Pattern Recognition (ICPR), 2021.
[bib] |
| [247] | Interpretability-guided Content-based Medical Image Retrieval (Wilson Silva, Alex, Jaime S. Cardoso, Mauricio Reyes), In Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
[bib] [pdf] |
| [246] | A Novel Approach to Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes (Tiago Goncalves, Wilson Silva, Maria J. Cardoso, Jaime S. Cardoso), In Health and Technology, 2020.
[bib] [pdf] |
| [245] | 3D Digital Breast Cancer Models with Multimodal Fusion Algorithms (Silvia Bessa, Pedro F. Gouveia, Pedro H. Carvalho, Catia Rodrigues, Nuno L. Silva, Fatima Cardoso, Jaime S. Cardoso, Helder P. Oliveira, Maria J. Cardoso), In The Breast, 2020.
[bib] [pdf] [doi] |
| [244] | Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (Thomas Schaffter, Diana S. M. Buist, Christoph I. Lee, et al), In JAMA Network Open, 2020.
[bib] [pdf] [doi] |
| [243] | Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides (Sara P. Oliveira, Joao Ribeiro Pinto, Tiago Gonçalves, Rita C. Marques, Maria J. Cardoso, Helder P. Oliveira, Jaime S. Cardoso), In Applied Sciences, 2020.
[bib] |
| [242] | Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices (Jose Martins, Jaime S. Cardoso, Filipe Soares), In Computer Methods and Programs in Biomedicine, 2020.
[bib] [pdf] [doi] |
| [241] | Secure Triplet Loss for End-to-End Deep Biometrics (Joao Ribeiro Pinto, Jaime S. Cardoso), In Proceedings of the The 8th International Workshop on Biometrics and Forensics (IWBF), 2020.
[bib] [pdf] |
| [240] | Self-Learning with Stochastic Triplet Loss (Joao Ribeiro Pinto, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020.
[bib] [pdf] |
| [239] | Clinical, Self-Reported and Multisensor Data Fusion for Prospective Falls Prediction (Joana Silva, Ines Sousa, Jaime S. Cardoso), In IEEE Journal of Biomedical and Health Informatics, 2020.
[bib] [pdf] [doi] |
| [238] | Automated Development of Custom Fall Detectors: Position, Model and Rate Impact in Performance (Joana Silva, Diana Gomes, Ines Sousa, Jaime S. Cardoso), In IEEE Sensors Journal, 2020.
[bib] [pdf] [doi] |
| [237] | Evolution, Current Challenges, and Future Possibilities in the Objective Assessment of Aesthetic Outcome of Breast Cancer Locoregional Treatment (Jaime S. Cardoso, Wilson Silva, Maria J. Cardoso), In The Breast, 2020.
[bib] [pdf] [doi] |
| [236] | Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? (Ana F. Sequeira, Joao Ribeiro Pinto, Wilson Silva, Tiago Goncalves, Jaime S. Cardoso), In Proceedings of the The 8th International Workshop on Biometrics and Forensics (IWBF), 2020.
[bib] [pdf] |
| [235] | Soft Rotation Equivariant Convolutional Neural Networks (Eduardo Meca, Jose Costa Pereira, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020.
[bib] [pdf] |
| [234] | Video summarization through Total Variation, Deep Semi-Supervised Autoencoder and Clustering Algorithms (Eden Silva, Eliaquim Ramos, Leandro Silva, Jaime S. Cardoso, Gilson Giraldi), In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), 2020.
[bib] [pdf] |
| [233] | Automatic detection of perforators for microsurgical reconstruction (Carlos Mavioso, Ricardo Araujo, Helder P. Oliveira, Joao C. Anacleto, Maria Antonia Vasconcelos, David Pinto, Pedro Gouveia, Celeste Alves, Jaime S. Cardoso, Maria J. Cardoso, Fatima Cardoso), In The Breast, 2020.
[bib] [pdf] [doi] |
| [232] | Deep Vesselness Measure from scale-space analysis of Hessian Matrix Eigenvalues (Ricardo Araujo, Jaime S. Cardoso, Helder Oliveira), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019.
[bib] [pdf] |
| [231] | Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes (Wilson Silva, Eduardo Castro, Maria J. Cardoso, Florian Fitzal, Jaime S. Cardoso), In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI'19), 2019.
[bib] [pdf] |
| [230] | How to produce complementary explanations using an Ensemble Model (Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2019.
[bib] [pdf] |
| [229] | Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes (Tiago Goncalves, Wilson Silva, Jaime S. Cardoso), In Proceedings of the 15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2019.
[bib] [pdf] |
| [228] | The importance of subject-dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions (Claudia Silveira, Jaime S. Cardoso, Andre Lourenco, Christer Ahlstrom), In IET Intelligent Transport Systems, volume 13, 2019.
[bib] [pdf] [doi] |
| [227] | Insulator Visual Non-Conformity Detection in Overhead Power Distribution Lines using Deep Learning (Ricardo Prates, Ricardo Cruz, Andre P. Marotta, Rodrigo P. Ramos, Eduardo F. Simas Filho, Jaime S. Cardoso), In Computers and Electrical Engineering, 2019.
[bib] [pdf] [doi] |
| [226] | Power Distribution Insulators Classification Using Image Hybrid Deep Learning (Ricardo Prates, Jaime S. Cardoso, Eduardo F. Simas Filho, Rodrigo P. Ramos), In Proceedings of 27th European Signal Processing Conference (EUSIPCO), 2019.
[bib] [pdf] |
| [225] | Automatic Augmentation by Hill Climbing (Ricardo Cruz, Joaquim F. Pinto Costa, Jaime S. Cardoso), In Proceedings of the 28th International Conference on Artificial Neural Networks (ICANN), 2019.
[bib] [pdf] |
| [224] | Averse Deep Semantic Segmentation (Ricardo Cruz, Joaquim F. Pinto Costa, Jaime S. Cardoso), In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
[bib] [pdf] |
| [223] | Sparse Multi-Bending Snakes (Ricardo Araujo, Kelwin Fernandes, Jaime S. Cardoso), In IEEE Transactions on Image Processing, 2019.
[bib] [pdf] [doi] |
| [222] | A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation (Ricardo Araujo, Jaime S. Cardoso, Helder Oliveira), In Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
[bib] [pdf] |
| [221] | A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images (Ricardo Araujo, Jaime S. Cardoso, Helder Oliveira), In Proceedings of the 20th International Conference on Image Analysis and Processing (ICIAP), 2019.
[bib] [pdf] |
| [220] | DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition (Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso), In IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019.
[bib] [pdf] [doi] |
| [219] | Signer-Independent Sign Language Recognition with Adversarial Neural Networks (Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso), In International Journal of Machine Learning and Computing (IJMLC), 2019.
[bib] [pdf] |
| [218] | Learning Signer-Invariant Representations with Adversarial Training (Pedro Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso), In Proceedings of the 12th International Conference on Machine Vision (ICMV), 2019.
[bib] [pdf] |
| [217] | Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations (Pedro Ferreira, Filipa Sequeira, Diogo Pernes, Jaime S. Cardoso), In Proceedings of the 18th International Conference of the Biometrics Special Interest Group (BIOSIG), 2019.
[bib] [pdf] |
| [216] | On the Role of Multimodal Learning in the Recognition of Sign Language (Pedro Ferreira, Jaime S. Cardoso, Ana Rebelo), In Multimedia Tools and Applications, 2019.
[bib] [pdf] [doi] |
| [215] | Hypothesis Transfer Learning Based on Structural Model Similarity (Kelwin Fernandes, Jaime S. Cardoso), In Neural Computing and Applications, 2019.
[bib] [pdf] [doi] |
| [214] | Automation of Waste Sorting with Deep Learning (Joao Sousa, Ana Rebelo, Jaime S. Cardoso), In Proceedings of the XV Workshop on Computational Vision (WVC), 2019.
[bib] [pdf] |
| [213] | The Biometric Computing: Recognition and Registration (Joao R. Pinto, Jaime S. Cardoso, Andre Lourenco), Chapter in Deep Neural Networks For Biometric Identification Based On Non-Intrusive ECG Acquisitions, CRC Press, 2019.
[bib] [pdf] |
| [212] | An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication (Joao Pinto, Jaime S. Cardoso), In Proceedings of 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2019.
[bib] [pdf] |
| [211] | Quality-based Regularization for Iterative Deep Image Segmentation (Jose Rebelo, Kelwin Fernandes, Jaime S. Cardoso), In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
[bib] [pdf] |
| [210] | Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics (Gabriel Lopes, Joao Ribeiro Pinto, Jaime S. Cardoso), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019.
[bib] [pdf] |
| [209] | Weight Rotation as a Regularization Strategy in Convolutional Neural Networks (Eduardo Castro, Jose Costa Pereira, Jaime S. Cardoso), In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
[bib] [pdf] |
| [208] | Machine Learning Interpretability: A Survey on Methods and Metrics (Diogo Vaz de Carvalho, Eduardo Marques Pereira, Jaime S. Cardoso), In Electronics (section: Artificial Intelligence), 2019.
[bib] [pdf] [doi] |
| [207] | SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities (Diogo Pernes, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2019.
[bib] [pdf] |
| [206] | Directional Support Vector Machines (Diogo Pernes, Kelwin Fernandes, Jaime S. Cardoso), In Applied Sciences, 2019.
[bib] [pdf] [doi] |
| [205] | Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions (Ana F. Adonias, Jaime S. Cardoso, Joana Ferreira-Gomes, Fani Neto, Raquel Alonso), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019.
[bib] [pdf] |
| [204] | The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation (Pedro Alves, Jaime S. Cardoso, Maria do Bom-Sucesso), In Proceedings of the 7th European Workshop on Visual Information Processing (EUVIP), 2018.
[bib] [pdf] |
| [203] | Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods (Licinio Oliveira, Jaime S. Cardoso, Andre Lourenco, Christer Ahlstrom), In Proceedings of the 7th European Workshop on Visual Information Processing (EUVIP), 2018.
[bib] [pdf] |
| [202] | Elastic Deformations for Data Augmentation in Mass Detection (Eduardo Castro, Jose Pereira, Jaime S. Cardoso), In Proceedings of the IEEE Biomedical and Health Informatics (BHI), 2018.
[bib] [pdf] |
| [201] | Towards complementary explanations using Deep Neural Networks (Wilson Silva, Kelwin Fernandes, Maria J. Cardoso, Jaime S. Cardoso), In Proceedings of the Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2018.
[bib] [pdf] |
| [200] | A Uniform Performance Index for Ordinal Classification with Imbalanced Classes (Wilson Silva, Joao Ribeiro Pinto, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018.
[bib] [pdf] |
| [199] | A Class Imbalance Ordinal Method for Alzheimer's Disease Classification (Ricardo Cruz, Margarida Silveira, Jaime S. Cardoso), In Proceedings of the 8th International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018.
[bib] [pdf] |
| [198] | Binary Ranking for Ordinal Class Imbalance (Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Maria Perez Ortiz, Jaime S. Cardoso), In Pattern Analysis and Applications, 2018.
[bib] [pdf] [doi] |
| [197] | Robust Clustering-based Segmentation Methods for Fingerprint Recognition (Pedro Ferreira, Filipa Sequeira, Jaime S. Cardoso, Ana Rebelo), In Proceedings of the 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 2018.
[bib] [pdf] |
| [196] | Physiological Inspired Deep Neural Networks for Emotion Recognition (Pedro Ferreira, Filipe Marques, Jaime S. Cardoso, Ana Rebelo), In IEEE Access, 2018.
[bib] [pdf] [doi] |
| [195] | The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction (C. Mavioso, J. Correia Anacleto, M. A Vasconcelos, Ricardo Araujo, Helder Oliveira, D. Pinto, Pedro Gouveia, C. Alves, Fatima Cardoso, Jaime S. Cardoso, Maria J. Cardoso), volume 92, 2018.
[bib] [pdf] |
| [194] | The Value of 3D Images in Aesthetic Evaluation of Breast Cancer Conservative Treatment. Results from a Prospective Multicentric Clinical Trial (Maria J. Cardoso, Conny Vrieling, Jaime S. Cardoso, Helder P Oliveira, Norman R Williams, J. M. Dixon, the PICTURE Project Clinical Trial Team, the PICTURE Project Delphi Panel), In The Breast, 2018.
[bib] [pdf] [doi] |
| [193] | microSmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage (Luís Rosado, Paulo T. Silva, José Faria, João Oliveira, Maria João M. Vasconcelos, Dirk Elias, José M. Correia da Costa, Jaime S. Cardoso), In Biomedical Engineering Systems and Technologies (Nathalia Peixoto, Margarida Silveira, Hesham H. Ali, Carlos Maciel, Egon L. van den Broek, eds.), Springer International Publishing, 2018.
[bib] [pdf] |
| [192] | Supervised deep learning embeddings for the prediction of cervical cancer diagnosis (Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes), In PeerJ Computer Science, 2018.
[bib] [pdf] [doi] |
| [191] | A Deep Learning Approach for the Forensic Evaluation of Sexual Assault (Kelwin Fernandes, Jaime S. Cardoso, Birgitte Astrup), In Pattern Analysis and Applications, 2018.
[bib] [pdf] [doi] |
| [190] | Ordinal Image Segmentation using Deep Neural Networks (Kelwin Fernandes, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018.
[bib] [pdf] |
| [189] | Deep Image Segmentation by Quality Inference (Kelwin Fernandes, Ricardo Cruz, Jaime S. Cardoso), In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018.
[bib] [pdf] |
| [188] | Automated Methods for the Decision Support of Cervical Cancer Screening using Digital Colposcopies (Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes), In IEEE Access, 2018.
[bib] [pdf] [doi] |
| [187] | Transfer learning approach for fall detection with the FARSEEING real-world dataset (Joana Silva, Ines Sousa, Jaime S. Cardoso), In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018.
[bib] [pdf] |
| [186] | Evolution, Current Challenges, and Future Possibilities in ECG Biometrics (Joao R. Pinto, Jaime S. Cardoso, Andre Lourenco), In IEEE Access, 2018.
[bib] [pdf] [doi] |
| [185] | A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery (Hooshiar Zolfagharnasab, Silvia Bessa, Sara P. Oliveira, Pedro Faria, Joao F. Teixeira, Jaime S. Cardoso, Helder P. Oliveira), In Sensors, 2018.
[bib] [pdf] [doi] |
| [184] | Deep Neural Network for Vector Field Topology Recognition with Applications to Fluid Flow Summarization (Eliaquim Ramos, Leandro da Silva, Jaime S. Cardoso, Gilson Giraldi), 2018.
[bib] [pdf] |
| [183] | Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction? (Ana Rebelo, Tiago Oliveira, Manuel E. Correia, Jaime S. Cardoso), In Proceedings of the 23rd Iberoamerican Congress on Pattern Recognition (CIARP), 2018.
[bib] [pdf] |
| [182] | Measuring Impedance in Congestive Heart Failure (Ricardo Silva, Jaime S. Cardoso, Filipe Sousa), In Proceedings of the 14th International Conference on Wearable, micro & Nano Technologies (pHealth), 2017.
[bib] [pdf] |
| [181] | A proposal for a gold standard for cosmetic evaluation after breast conserving therapy: results from the St George and Wollongong Breast Boost trial. (Roya Merie, Lois Browne, Jaime S. Cardoso, Maria J. Cardoso, Yaw Chin, Clark Catherine, Peter Graham, Alison Szwajcer, Eric Hau), In Journal of Medical Imaging and Radiation Oncology, 2017.
[bib] [pdf] [doi] |
| [180] | µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage (Luis Rosado, Jaime S. Cardoso, Jose Costa, Maria Vasconcelos, Joao Oliveira, Dirk Elias), In Proceedings of the 10th International Conference on Biomedical Electronics and Devices (BIODEVICES), 2017.
[bib] [pdf] |
| [179] | Combining Ranking with Traditional Methods for Ordinal Class Imbalance (Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Maria Perez Ortiz, Jaime S. Cardoso), In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017.
[bib] [pdf] |
| [178] | Constraining Type II Error: Building Intentionally Biased Classifiers (Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso), In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017.
[bib] [pdf] |
| [177] | Ordinal Class Imbalance with Ranking (Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Maria Perez Ortiz, Jaime S. Cardoso), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017.
[bib] [pdf] |
| [176] | Multimodal Learning for Sign Language Recognition (Pedro Ferreira, Jaime S. Cardoso, Ana Rebelo), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017.
[bib] [pdf] |
| [175] | Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation (Maria Perez Ortiz, Kelwin Fernandes, Ricardo Cruz, Jaime S. Cardoso, Javier Briceno, Cesar Hervas-Martinez), In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017.
[bib] [pdf] |
| [174] | Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy (Kelwin Fernandes, Jaime S. Cardoso, Birgitte Astrup), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017.
[bib] [pdf] |
| [173] | Transfer Learning with Partial Observability Applied to Cervical Cancer Screening (Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes), In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017.
[bib] [pdf] |
| [172] | Foreword to the special issue on pattern recognition and image analysis (Jaime S. Cardoso, Xose M. Pardo, Roberto Paredes), In Neural Computing and Applications, 2017.
[bib] [pdf] [doi] |
| [171] | Mass Segmentation in Mammograms: a Cross-Sensor comparison of deep and tailored features (Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew Bradley), In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2017.
[bib] [pdf] |
| [170] | Cross-layer Classification Framework for Automatic Social Behavioural Analysis in Surveillance Scenario (Eduardo Pereira, Lucian Ciobanu, Jaime S. Cardoso), In Neural Computing and Applications, 2017.
[bib] [pdf] [doi] |
| [169] | Multi-Source Deep Transfer Learning for Cross-sensor Biometrics (Chetak Kandaswamy, Joao C. Monteiro, L. M. Silva, Jaime S. Cardoso), In Neural Computing and Applications, 2017.
[bib] [pdf] [doi] |
| [168] | Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, (Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, Joao Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, Joao Paulo Papa, Anant Madabushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu, eds.), volume 10553, 2017.
[bib] [pdf] |
| [167] | CardioWheel: Physiological Driver Monitoring (Andre Lourenco, Sofia Silveira, Jaime S. Cardoso), 2017.
[bib] [pdf] |
| [166] | Mobile-based analysis of malaria-infected thin blood smears: Automated species and life cycle stage determination (Luis Rosado, Dirk Elias, Jose M. Correia da Costa, Jaime S. Cardoso), In Sensors, 2017.
[bib] [pdf] [doi] |
| [165] | Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel (Joao R. Pinto, Jaime S. Cardoso, Andre Lourenco, Carlos Carreiras), In Sensors, 2017.
[bib] [pdf] [doi] |
| [164] | A comparative analysis of deep and shallow features for multimodal face recognition in a novel RGB-D-IR dataset (Tiago Freitas, Pedro Alves, Cristiana Carpinteiro, Joana Rodrigues, Margarida Fernandes, Marina Castro, Joao C. Monteiro, Jaime S. Cardoso), In Proceedings of 12th International Symposium on Visual Computing (ISVC), 2016.
[bib] [pdf] |
| [163] | Towards Never-Ending Learning From Parallel Time-Series (Samaneh Khoshrou, Jaime S. Cardoso), In Proceedings of NIPS Time Series Workshop 2016, 2016.
[bib] [pdf] |
| [162] | A review of automatic malaria parasites detection and segmentation in microscopic images (Luis Rosado, Jose M. Correia da Costa, Dirk Elias, Jaime S. Cardoso), In Anti-Infective Agents, 2016.
[bib] [pdf] [doi] |
| [161] | Automated detection of malaria parasites on thick blood smears via mobile devices (Luis Rosado, Jose M. Correia da Costa, Dirk Elias, Jaime S. Cardoso), In Proceedings of the Medical Image Understanding and Analysis Conference (MIUA), volume 90, 2016.
[bib] [pdf] [doi] |
| [160] | Discriminative Directional Classifiers (Kelwin Fernandes, Jaime S. Cardoso), In Neurocomputing, 2016.
[bib] [pdf] [doi] |
| [159] | Learning and Ensembling Lexicographic Preference Trees with Multiple Kernels (Kelwin Fernandes, Jaime S. Cardoso, Hector Palacios), In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2016.
[bib] [pdf] |
| [158] | Multimodal Hierarchical Face Recognition using Information from 2.5D Images (Joao C. Monteiro, Tiago Freitas, Jaime S. Cardoso), In U.Porto Journal of Engineering, 2016.
[bib] [pdf] |
| [157] | Fitting of Breast Data using Free Form Deformation Technique (Hooshiar Zolfagharnasab, Jaime S. Cardoso, Helder P. Oliveira), In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), 2016.
[bib] [pdf] |
| [156] | A Realistic Evaluation of Iris Presentation Attack Detection (Ana F. Sequeira, Shejin Thavalengal, James Ferryman, Peter Corcoran, Jaime S. Cardoso), In Proceedings of the International Conference on Telecommunications and Signal Processing (TSP), 2016.
[bib] [pdf] |
| [155] | Long-Range Trajectories from Global and Local Motion Representations (Eduardo Pereira, Jaime S. Cardoso, Ricardo Morla), In Journal of Visual Communication and Image Representation, 2016.
[bib] [pdf] [doi] |
| [154] | Tackling Class Imbalance with Ranking (Ricardo Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa), In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2016.
[bib] [pdf] |
| [153] | Deep Learning and Data Labeling for Medical Applications, (Gustavo Carneiro, Diana Mateus, Loic Peter, Andrew Bradley, Joao Manuel R. S. Tavares, Vasileios Belagiannis, Joao Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise, eds.), volume 10008, 2016.
[bib] [pdf] |
| [152] | Three-dimensional breast volume assessment (Pedro Gouveia, Joao P. Monteiro, Helder P. Oliveira, Maria J. Cardoso, Jaime S. Cardoso), volume 57, 2016.
[bib] [pdf] |
| [151] | Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-Modal Imaging and Mechano-Biological Modelling Framework (Bjorn Eiben, Rene Lacher, Vasileios Vavourakis, John H. Hipwell, Danail Stoyanov, Norman R. Williams, Jorg Sabczynski, Thomas Bulow, Dominik Kutra, Kirsten Meetz, Stewart Young, Hans Barschdorf, Helder P. Oliveira, Jaime S. Cardoso, Joao P. Monteiro, Hooshiar Zolfagharnasab, Ralph Sinkus, Pedro Gouveia, Gerrit-Jan Liefers, Barbara Molenkamp, Cornelis J.H. van de Velde, David J. Hawkes, Maria J. Cardoso, Mohammed Keshtgar), In Proceedings of the 13th International Workshop on Breast Imaging (IWBI), 2016.
[bib] [pdf] |
| [150] | The Breast Cancer Conservative Treatment. Cosmetic Results - BCCT.core - software for objective assessment of aesthetic outcome in breast cancer conservative treatment: a narrative review (Maria J. Cardoso, Jaime S. Cardoso, Helder P. Oliveira, Pedro Gouveia), In Computer Methods and Programs in Biomedicine, 2016.
[bib] [pdf] [doi] |
| [149] | The failure analysis and lifetime prediction for the solder joint of the magnetic head (Xianghui Xiao, Minfang Peng, Jaime S. Cardoso, Rongjun Tang, YingLiang Zhou), In Applied Physics A, Springer Berlin Heidelberg, 2015.
[bib] [pdf] [doi] |