Inês Domingues
Orcid: 0000-0002-2334-7280
According to our database1,
Inês Domingues
authored at least 33 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
3
1
2
4
1
1
1
1
2
1
1
3
4
2
2
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Correction to: Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability.
Pattern Anal. Appl., June, 2024
Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective.
Sensors, March, 2024
Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability.
Pattern Anal. Appl., March, 2024
Proceedings of the IEEE Global Engineering Education Conference, 2024
2023
Comput. Math. Organ. Theory, December, 2023
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023
Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023
2021
An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer.
J. Imaging, 2021
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021
2020
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data.
IEEE J. Biomed. Health Informatics, 2020
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation.
CoRR, 2020
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET.
Artif. Intell. Rev., 2020
Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
2018
Proceedings of the Combinatorial Image Analysis - 19th International Workshop, 2018
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility.
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2017
2015
Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer.
Int. J. Pattern Recognit. Artif. Intell., 2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
A New Local Adaptive Mass Detection Algorithm in Mammograms.
Proceedings of the BIOSIGNALS 2013, 2013
2012
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011