Speaker: Tiarna Lee
In medical imaging, artificial intelligence (AI) is increasingly being used to automate routine tasks. However, …
Speaker: Ayantika Das
Diffusion probabilistic models (DPMs) have achieved remarkable quality in image generation that rivals …
Speaker: Charles
Automated malaria diagnosis is a difficult but high-value target for machine learning (ML), and effective algorithms …
Speaker: Miguel López-Pérez
Recent years have seen increasing use of supervised learning methods for segmentation tasks. However, the …
Speaker: Yasar Mehmood
Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their …
Speaker: Samra Irshad
As deep learning models are increasingly used in safety-critical applications, explainability and trustworthiness …
Speaker: Islem Rekik
Federated Learning (FL) is a method of training machine learning models on private data distributed over a large …