Breast cancer remains a leading cause of cancer-related mortality worldwide, with early detection through MRI playing a critical role in patient outcomes. However, a significant clinical challenge arises from the positional mismatch between MRI acquisition (prone) and surgery (supine), as breast tissue is highly deform...
Pedro Sousa, Tânia Pereira, João Santinha et al.· Zenodo (CERN European Organi...· 0 citations
As it stands, the development of robust AI-based diagnosis aid systems is greatly hindered by the lack of access to high-quality and fully annotated medical imaging data, which is both scarce, hard to acquire and subject to numerous privacy regulations. This issue has mostly been solved through advancements in the GenA...
Diogo Mendes, Diogo Martins, Pedro Sousa et al.· Zenodo (CERN European Organi...· 0 citations
The scarcity of high-quality, fully annotated 3D medical imaging data poses a major challenge for the development of robust AI-based CAD systems. In lung cancer screening, volumetric CT data with detailed segmentation masks, including nodules, are critical for training data-driven models. We propose a generative framew...
Diogo Martins, Pedro Sousa, Hélder P. Oliveira et al.· Zenodo (CERN European Organi...· 0 citations
The development of reliable AI-based diagnostic tools is constrained by the scarcity of high-quality and fully annotated medical imaging data, due to costly acquisition procedures and privacy restrictions. Although generative AI has the potential to address this gap, 3D generation remains computationally demanding whil...
Gonçalo Fernandes, Pedro Sousa, Hélder P. Oliveira et al.· Zenodo (CERN European Organi...· 0 citations
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