Automatic heart sound segmentation and murmur detection in pediatric phonocardiograms. - João Pedrosa; Ana Castro; Tiago T. V. Vinhoza (EMBC, 2014)

heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces. - Daniel Barbosa 001; João Pedrosa; Brecht Heyde; Thomas Dietenbeck; Denis Friboulet; Olivier Bernard 001; Jan D'hooge (Comput. Medical Imaging Graph., 2017)

Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces. - João Pedrosa; Sandro F. Queiros; Olivier Bernard 001; Jan E. Engvall; Thor Edvardsen; Eike Nagel; Jan D'hooge (IEEE Trans. Medical Imaging, 2017)

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (CoRR, 2019)

LNDb: A Lung Nodule Database on Computed Tomography. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (CoRR, 2019)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images. - Catarina B. Carvalho; João Pedrosa; Carolina Maia; Susana Penas; Ângela Carneiro; Luís Mendonça; Ana Maria Mendonça; Aurélio Campilho (ICIAR (2), 2020)

Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. - Carlos A. Ferreira; Guilherme Aresta; João Pedrosa; João Rebelo; Eduardo Negrão; António Cunha; Isabel Ramos; Aurélio Campilho (ISBI, 2020)

Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (IEEE J. Biomed. Health Informatics, 2020)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2020)

Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications. - Martim Quintas E. Sousa; João Pedrosa; Joana Rocha; Sofia Cardoso Pereira; Ana Maria Mendonça; Aurélio Campilho (BIBM, 2021)

Multimodal Multi-tasking for Skin Lesion Classification Using Deep Neural Networks. - Rafaela Carvalho; João Pedrosa; Tudor Nedelcu (ISVC (1), 2021)

Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. - Helena Williams; João Pedrosa; Laura Cattani; Susanne Housmans; Tom Vercauteren; Jan Deprest; Jan D'hooge (MICCAI (1), 2021)

A multi-task CNN approach for lung nodule malignancy classification and characterization. - Sónia Marques; Filippo Schiavo; Carlos A. Ferreira; João Pedrosa; António Cunha; Aurélio Campilho (Expert Syst. Appl., 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

Automatic Label Detection in Chest Radiography Images. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Ana Maria Mendonça; Aurélio Campilho (BIOIMAGING, 2022)

Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images. - Joana Rocha; Sofia Cardoso Pereira; João Pedrosa; Aurélio Campilho; Ana Maria Mendonça (CBMS, 2022)

Detection of COVID-19 in Point of Care Lung Ultrasound. - Joana Maximino; Miguel T. Coimbra; João Pedrosa (EMBC, 2022)

Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection. - João Pedrosa; Pedro Sousa; Joana Silva 001; Ana Maria Mendonça; Aurélio Campilho (IbPRIA, 2022)

A Generalization Study of Automatic Pericardial Segmentation in Computed Tomography Images. - Rubén Baeza; Carolina Santos; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Miguel T. Coimbra; Francesco Renna; João Pedrosa (MobiHealth, 2022)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. - Ricardo Coimbra Brioso; João Pedrosa; Ana Maria Mendonça; Aurélio Campilho (CBMS, 2023)

Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. - João Pedrosa; Pedro Sousa; Joana Silva 001; Ana Maria Mendonça; Aurélio Campilho (CBMS, 2023)

Quality assessment of Low-cost retinal Videos for Glaucoma screening. - Solomon Gebru Abay; Filipa Lima; Luc Geurts; José Camara; João Pedrosa; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography. - Raquel Belo; Joana Rocha; João Pedrosa (CIARP, 2023)

Automatic Contrast Generation from Contrastless Computed Tomography. - Rúben Domingues; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Miguel Tavares Coimbra; João Pedrosa; Francesco Renna (EMBC, 2023)

Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening. - Rui Santos; João Pedrosa; Ana Maria Mendonça; Aurélio Campilho (IbPRIA, 2023)

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces. - Helena Williams; João Pedrosa; Muhammad Asad 001; Laura Cattani; Tom Vercauteren; Jan Deprest; Jan D'hooge (CoRR, 2023)

A hybrid approach for tracking borders in echocardiograms. - Yasser Ali; Soosan Beheshti; Farrokh Janabi-Sharifi; Tohid Yousefi Rezaii; Asim N. Cheema; João Pedrosa (Signal Image Video Process., 2023)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2023)

Image Captioning for Coronary Artery Disease Diagnosis. - Bruno Magalhães; João Pedrosa; Francesco Renna; Hugo Paredes; Vítor Filipe (BIBM, 2024)

DeepClean - Contrastive Learning Towards Quality Assessment in Large-Scale CXR Data Sets. - Sofia Cardoso Pereira; João Pedrosa; Joana Rocha; Pedro Sousa; Aurélio Campilho; Ana Maria Mendonça (BIBM, 2024)

Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative Study. - Sofia Ferraz; Miguel Tavares Coimbra; João Pedrosa (EMBC, 2024)

Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography. - Rui Castro; Inês Sousa; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Carlos A. Ferreira; João Pedrosa (ISBI, 2024)

Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs. - João Pedrosa; Sofia Cardoso Pereira; Joana Silva 001; Ana Maria Mendonça; Aurélio Campilho (DGM4MICCAI@MICCAI, 2024)

STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images. - Joana Rocha; Sofia Cardoso Pereira; João Pedrosa; Aurélio Campilho; Ana Maria Mendonça (Artif. Intell. Medicine, 2024)

Segmentation of coronary calcifications with a domain knowledge-based lightweight 3D convolutional neural network. - Rui Santos; Rui Castro; Rubén Baeza; Fábio Nunes; Vítor Manuel Filipe; Francesco Renna; Hugo Paredes; Ricardo Fontes-Carvalho; João Pedrosa (Comput. Biol. Medicine, 2025)

Grad-CAM: The impact of large receptive fields and other caveats. - Rui Santos; João Pedrosa; Ana Maria Mendonça; Aurélio Campilho (Comput. Vis. Image Underst., 2025)