Inês Domingues

44 papers B 3C 12Misc 4Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Assessing the Impact of Automatic vs. Manual Segmentation on Radiomic Feature Analysis: A Prostate Cancer Study. ISPA Bruno Mendes, Inês Domingues, João Santos
2025	C	`conf`	Composite Heatmaps: Interpreting Deep Models in Morph Attack Detection. ISPA Pedro Morais, Inês Domingues
2025	J	`jnl`	Deep Learning Techniques for Detecting Morphed Face Images: A Literature Review. IEEE Access Pedro Morais, Inês Domingues, Jorge Bernardino
2025	J	`jnl`	Editorial of the special section: CIARP 2023. Pattern Recognit. Lett. Inês Domingues, Verónica Vasconcelos, Simão Paredes
2025	C	`conf`	Multimodal Prediction of Complete Response to Chemoradiotherapy in Esophageal Cancer Using Clinical Data, Radiomics, and Deep Embeddings. ISPA Adriana Couto, João Santos, Bruno Mendes, Inês Domingues
2025	—	`conf`	Uplift Modeling for Treatment Effect Estimation in the Prostate Cancer Treatment Landscape. IbPRIA (2) Ana Rodrigues, Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Nikolaos Papanikolaou, Inês Domingues
2024	—	`conf`	A Paradigm Shift in Teaching Machine Learning to Sustainable City Management Master Students. ICETC Inês Domingues, Deolinda Maria Lopes Dias Rasteiro
2024	J	`jnl`	Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective. Sensors Stephanie Batista Niño, Jorge Bernardino, Inês Domingues
2024	J	`jnl`	Correction to: Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability. Pattern Anal. Appl. José Maurício, Inês Domingues
2024	C	`conf`	Design and Implementation of an Introductory Course on Clinical Databases. EDUCON Inês Domingues
2024	C	`conf`	Design and Implementation of an Introductory Course on Clinical Databases. EDUCON Inês Domingues
2024	J	`jnl`	Distinguishing between Crohn's disease and ulcerative colitis using deep learning models with interpretability. Pattern Anal. Appl. José Maurício, Inês Domingues
2024	C	`ed.`	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part I CIARP Verónica Vasconcelos, Inês Domingues, Simão Paredes
2024	C	`ed.`	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II CIARP Verónica Vasconcelos, Inês Domingues, Simão Paredes
2023	Misc	`conf`	Deep Neural Networks to Distinguish Between Crohn's Disease and Ulcerative Colitis. IbPRIA José Maurício, Inês Domingues
2023	J	`jnl`	Editorial of the Special Issue from WorldCIST'20. Comput. Math. Organ. Theory Inês Domingues, Ana Filipa Sequeira
2023	C	`conf`	Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease. CIARP José Maurício, Inês Domingues
2023	Misc	`ed.`	Pattern Recognition and Image Analysis - 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27-30, 2023, Proceedings IbPRIA Antonio Pertusa, Antonio Javier Gallego, Joan-Andreu Sánchez, Inês Domingues
2021	J	`jnl`	An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer. J. Imaging Laura Providência, Inês Domingues, João Santos
2021	C	`conf`	Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients. CIARP Diana Serrano, Celeste Dias, Bruno Cardoso, Inês Domingues
2021	J	`jnl`	Study on Data Partition for Delimitation of Masses in Mammography. J. Imaging Luís Viegas, Inês Domingues, Mateus Mendes
2020	C	`conf`	Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches. BIBE Jorge Ferreira, Inês Domingues, Olga Sousa, Inês Sampaio, João A. M. Santos
2020	J	`jnl`	Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun
2020	J	`jnl`	Multimedia systems and applications in biomedicine. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Inês Domingues, Ana Filipa Sequeira, Carla M. A. Pinto, Álvaro Rocha
2020	J	`jnl`	Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. CoRR António Sá Pinto, Inês Domingues, Matthew E. P. Davies
2020	J	`jnl`	Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artif. Intell. Rev. Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu
2019	Misc	`conf`	An iterative oversampling approach for ordinal classification. SAC Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu
2019	Misc	`conf`	Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs. DICTA Gabriel Silva, Inês Domingues, Hugo Duarte, João A. M. Santos
2019	J	`jnl`	Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2019	—	`conf`	Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2018	B	`conf`	Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP Inês Domingues, Pedro H. Abreu, João A. M. Santos
2018	B	`conf`	Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2018	B	`conf`	Interpreting deep learning models for ordinal problems. ESANN José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos
2018	C	`conf`	Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2017	—	`conf`	A Personal Robot as an Improvement to the Customers' In-store Experience. SMARTGREENS/VEHITS (Selected Papers) 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
2017	C	`conf`	Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility. VEHITS 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
2015	—	`—`	An automatic mammogram system: from screening to diagnosis Inês Domingues
2015	J	`jnl`	Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. Int. J. Pattern Recognit. Artif. Intell. Jaime S. Cardoso, Inês Domingues, Hélder P. Oliveira
2014	J	`jnl`	Max-Ordinal Learning. IEEE Trans. Neural Networks Learn. Syst. Inês Domingues, Jaime S. Cardoso
2014	—	`conf`	Normal breast identification in screening mammography: A study on 18 000 images. BIBM Sílvia Bessa, Inês Domingues, Jaime S. Cardoso, Pedro Passarinho, Pedro Cardoso, Vitor Rodrigues, Fernando Lage
2014	—	`conf`	Using Bayesian surprise to detect calcifications in mammogram images. EMBC Inês Domingues, Jaime S. Cardoso
2013	—	`conf`	A New Local Adaptive Mass Detection Algorithm in Mammograms. BIOSIGNALS Ehsan Koozegar, Mohsen Soryani, Inês Domingues
2012	—	`conf`	Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. ICMLA (1) Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues
2011	—	`conf`	Max-Coupled Learning: Application to Breast Cancer. ICMLA (1) Jaime S. Cardoso, Inês Domingues