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2020 – today
- 2024
[j12]José Maurício
, Inês Domingues:
Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability. Pattern Anal. Appl. 27(1): 1 (2024)- [j11]José Maurício, Inês Domingues:
Correction to: Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability. Pattern Anal. Appl. 27(2): 52 (2024) - [j10]Stephanie Batista Niño, Jorge Bernardino, Inês Domingues:
Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective. Sensors 24(6): 1752 (2024) - [c21]Inês Domingues:
Design and Implementation of an Introductory Course on Clinical Databases. EDUCON 2024: 1-5 - [c20]Inês Domingues:
Design and Implementation of an Introductory Course on Clinical Databases. EDUCON 2024: 1-5 - [c19]Inês Domingues, Deolinda Maria Lopes Dias Rasteiro:
A Paradigm Shift in Teaching Machine Learning to Sustainable City Management Master Students. ICETC 2024: 413-417 - [e3]Verónica Vasconcelos, Inês Domingues, Simão Paredes:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14469, Springer 2024, ISBN 978-3-031-49017-0 [contents] - [e2]Verónica Vasconcelos, Inês Domingues, Simão Paredes:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14470, Springer 2024, ISBN 978-3-031-49248-8 [contents] - 2023
- [j9]Inês Domingues, Ana Filipa Sequeira:
Editorial of the Special Issue from WorldCIST'20. Comput. Math. Organ. Theory 29(4): 503-506 (2023) - [c18]José Maurício, Inês Domingues:
Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease. CIARP 2023: 374-390 - [c17]José Maurício, Inês Domingues:
Deep Neural Networks to Distinguish Between Crohn's Disease and Ulcerative Colitis. IbPRIA 2023: 533-544 - [e1]Antonio Pertusa, Antonio Javier Gallego, Joan-Andreu Sánchez, Inês Domingues:
Pattern Recognition and Image Analysis - 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27-30, 2023, Proceedings. Lecture Notes in Computer Science 14062, Springer 2023, ISBN 978-3-031-36615-4 [contents] - 2021
- [j8]Laura Providência, Inês Domingues, João Santos:
An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer. J. Imaging 7(8): 148 (2021) - [j7]Luís Viegas, Inês Domingues, Mateus Mendes:
Study on Data Partition for Delimitation of Masses in Mammography. J. Imaging 7(9): 174 (2021) - [c16]Diana Serrano, Celeste Dias, Bruno Cardoso, Inês Domingues:
Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients. CIARP 2021: 3-12 - 2020
- [j6]Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu:
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artif. Intell. Rev. 53(6): 4093-4160 (2020) - [j5]Inês Domingues, Ana Filipa Sequeira, Carla M. A. Pinto, Álvaro Rocha:
Multimedia systems and applications in biomedicine. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(4): 343-344 (2020) - [j4]Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24(1): 14-16 (2020) - [c15]Jorge Ferreira, Inês Domingues, Olga Sousa, Inês Sampaio, João A. M. Santos:
Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches. BIBE 2020: 746-751 - [i1]António Sá Pinto, Inês Domingues, Matthew E. P. Davies:
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. CoRR abs/2011.01637 (2020)
2010 – 2019
- 2019
- [j3]Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access 7: 103080-103094 (2019) - [c14]Gabriel Silva, Inês Domingues, Hugo Duarte, João A. M. Santos:
Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs. DICTA 2019: 1-6 - [c13]Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) 2019: 322-334 - [c12]Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu:
An iterative oversampling approach for ordinal classification. SAC 2019: 771-774 - 2018
- [c11]José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos:
Interpreting deep learning models for ordinal problems. ESANN 2018 - [c10]Inês Domingues, Pedro H. Abreu, João A. M. Santos:
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP 2018: 1378-1382 - [c9]Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN 2018: 1-8 - [c8]Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA 2018: 134-149 - 2017
- [c7]António J. R. Neves, Daniel Filipe Barros Campos, Fabio Duarte, Filipe Pereira, Inês Domingues, Joana Santos, João Leão, José Xavier, Luís M. O. de Matos, Manuel Camarneiro, Marcelo Penas, Maria Miranda, Ricardo Silva, Tiago Esteves:
A Personal Robot as an Improvement to the Customers' In-store Experience. SMARTGREENS/VEHITS (Selected Papers) 2017: 296-317 - [c6]António J. R. Neves, Daniel Filipe Barros Campos, Fabio Duarte, Inês Domingues, Joana Santos, João Leão, José Xavier, Luís M. O. de Matos, Manuel Camarneiro, Marcelo Penas, Maria Miranda, Ricardo Silva, Tiago Esteves:
Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility. VEHITS 2017: 373-380 - 2015
- [b1]Inês Domingues:
An automatic mammogram system: from screening to diagnosis. University of Porto, Portugal, 2015 - [j2]Jaime S. Cardoso, Inês Domingues, Hélder P. Oliveira:
Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. Int. J. Pattern Recognit. Artif. Intell. 29(1): 1555002:1-1555002:24 (2015) - 2014
- [j1]Inês Domingues, Jaime S. Cardoso:
Max-Ordinal Learning. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1384-1389 (2014) - [c5]Sílvia Bessa, Inês Domingues, Jaime S. Cardoso, Pedro Passarinho, Pedro Cardoso, Vitor Rodrigues, Fernando Lage:
Normal breast identification in screening mammography: A study on 18 000 images. BIBM 2014: 325-330 - [c4]Inês Domingues, Jaime S. Cardoso:
Using Bayesian surprise to detect calcifications in mammogram images. EMBC 2014: 1091-1094 - 2013
- [c3]Ehsan Koozegar, Mohsen Soryani, Inês Domingues:
A New Local Adaptive Mass Detection Algorithm in Mammograms. BIOSIGNALS 2013: 133-137 - 2012
- [c2]Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues:
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. ICMLA (1) 2012: 473-477 - 2011
- [c1]Jaime S. Cardoso, Inês Domingues:
Max-Coupled Learning: Application to Breast Cancer. ICMLA (1) 2011: 13-18
Coauthor Index
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