Developing a medical training game for visual assessment of head deformities in infants. - Helena R. Torres; Bruno Oliveira 002; Pedro Morais; Anne Fritze; Fernando Veloso; Mario Rüdiqer; Jaime C. Fonseca 001; João L. Vilaça (SEGAH, 2021)

Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach. - Helena R. Torres; Pedro Morais; Anne Fritze; Bruno Oliveira 002; Fernando Veloso; Mario Rüdiger; Jaime C. Fonseca 001; João L. Vilaça (IEEE J. Biomed. Health Informatics, 2021)

3D Facial Landmark Localization for cephalometric analysis. - Helena R. Torres; Pedro Morais; Anne Fritze; Bruno Oliveira 002; Fernando Veloso; Mario Rüdiger; Jaime C. Fonseca 001; João L. Vilaça (EMBC, 2022)

Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting. - Helena R. Torres; Bruno Oliveira 002; Pedro Morais; Anne Fritze; Cahit Birdir; Mario Rüdiger; Jaime C. Fonseca 001; João L. Vilaça (Image Processing, 2022)

Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. - Helena R. Torres; Bruno Oliveira 002; Pedro Morais; Anne Fritze; Mario Rüdiger; Jaime C. Fonseca 001; João L. Vilaça (J. Biomed. Informatics, 2022)

Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies. - Helena R. Torres; Bruno Oliveira 002; Pedro Morais; Anne Fritze; Gabriele Hahn; Mario Rüdiger; Jaime C. Fonseca 001; João L. Vilaça (Multim. Syst., 2024)

Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited Data. - Helena R. Torres; Bruno Oliveira 002; Anne Fritze; Cahit Birdir; Mario Rüdiger; Jaime C. Fonseca 001; Pedro Morais; João L. Vilaça (IEEE J. Biomed. Health Informatics, 2024)