Visualitzant Departament d'Arquitectura i Tecnologia de Computadors per matèria "Imatgeria per al diagnòstic"

Automated quality assessment in three-dimensional breast ultrasound images

A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis

A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis

Acute and sub-acute stroke lesion segmentation from multimodal MRI

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks

A U-Net Ensemble for breast lesion segmentation in DCE MRI

Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach