Inês Domingues

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Systematic Review

Top Venues

Pattern Anal. Appl.

Publications

Stephanie Batista Niño, Jorge Bernardino, Inês Domingues
Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective. Sensors 24 (6) (2024)
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) (2024)
Inês Domingues
Design and Implementation of an Introductory Course on Clinical Databases. EDUCON (2024)
Inês Domingues
Design and Implementation of an Introductory Course on Clinical Databases. EDUCON (2024)
José Maurício, Inês Domingues
Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability. Pattern Anal. Appl. 27 (1) (2024)
José Maurício, Inês Domingues
Deep Neural Networks to Distinguish Between Crohn's Disease and Ulcerative Colitis. IbPRIA (2023)
Inês Domingues, Ana Filipa Sequeira
Editorial of the Special Issue from WorldCIST'20. Comput. Math. Organ. Theory 29 (4) (2023)
José Maurício, Inês Domingues
Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease. CIARP (2023)
Luís Viegas, Inês Domingues, Mateus Mendes
Study on Data Partition for Delimitation of Masses in Mammography. J. Imaging 7 (9) (2021)
Diana Serrano, Celeste Dias, Bruno Cardoso, Inês Domingues
Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients. CIARP (2021)
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) (2021)
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)
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) (2020)
António Sá Pinto, Inês Domingues, Matthew E. P. Davies
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. CoRR (2020)
Inês Domingues, Ana F. Sequeira, Carla M. A. Pinto, Álvaro Rocha
Multimedia systems and applications in biomedicine. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (4) (2020)
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) (2020)
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)
Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access 7 (2019)
Gabriel Silva, Inês Domingues, Hugo Duarte, João A. M. Santos
Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs. DICTA (2019)
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)
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)
José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos
Interpreting deep learning models for ordinal problems. ESANN (2018)
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)
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)
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)
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)
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) (2015)
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)
Inês Domingues, Jaime S. Cardoso
Using Bayesian surprise to detect calcifications in mammogram images. EMBC (2014)
Inês Domingues, Jaime S. Cardoso
Max-Ordinal Learning. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Ehsan Koozegar, Mohsen Soryani, Inês Domingues
A New Local Adaptive Mass Detection Algorithm in Mammograms. BIOSIGNALS (2013)
Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. ICMLA (1) (2012)
Jaime S. Cardoso, Inês Domingues
Max-Coupled Learning: Application to Breast Cancer. ICMLA (1) (2011)