Inês Domingues

Orcid: 0000-0002-2334-7280

According to our database1, Inês Domingues authored at least 33 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

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PhD thesis 
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Links

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

Design and Implementation of an Introductory Course on Clinical Databases.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
Editorial of the Special Issue from WorldCIST'20.
Comput. Math. Organ. Theory, December, 2023

Deep Neural Networks to Distinguish Between Crohn's Disease and Ulcerative Colitis.
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
Study on Data Partition for Delimitation of Masses in Mammography.
J. Imaging, 2021

An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer.
J. Imaging, 2021

Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients.
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

Multimedia systems and applications in biomedicine.
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
Computer Vision in Esophageal Cancer: A Literature Review.
IEEE Access, 2019

An iterative oversampling approach for ordinal classification.
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

Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018
Registration of CT with PET: A Comparison of Intensity-Based Approaches.
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

Interpreting deep learning models for ordinal problems.
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

A Personal Robot as an Improvement to the Customers' In-store Experience.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2017

2015
An automatic mammogram system: from screening to diagnosis
PhD thesis, 2015

Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer.
Int. J. Pattern Recognit. Artif. Intell., 2015

2014
Max-Ordinal Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Using Bayesian surprise to detect calcifications in mammogram images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Normal breast identification in screening mammography: A study on 18 000 images.
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
Max-Coupled Learning: Application to Breast Cancer.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011


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