Medical Image Segmentation is crucial in various clinical applications w...
Noisy labels hurt deep learning-based supervised image classification
pe...
Acquiring properly annotated data is expensive in the medical field as i...
The consumption of microbial-contaminated food and water is responsible ...
Billions of people across the globe have been using social media platfor...
Supervised deep learning methods for semantic medical image segmentation...
Multi-domain image-to-image translation with conditional Generative
Adve...
2D echocardiography is the most common imaging modality for cardiovascul...
Correct evaluation and treatment of Scoliosis require accurate estimatio...
Manual estimation of fetal Head Circumference (HC) from Ultrasound (US) ...
We investigate discrete spin transformations, a geometric framework to
m...
We present a new approach to diffeomorphic non-rigid registration of med...
This paper addresses the task of detecting and localising fetal anatomic...
Ultrasound (US) is the most widely used fetal imaging technique. However...
Standard scan plane detection in fetal brain ultrasound (US) forms a cru...
We propose a new Patch-based Iterative Network (PIN) for fast and accura...
We propose a novel method to adapt a graph to image data. The method dri...
Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
Limited capture range and the requirement to provide high quality
initia...