Medical Imaging

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Semi-supervised deep learning for fully convolutional networks

Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious. The framework of semi-supervised learning provides the means to use both labeled data and arbitrary amounts of unlabeled data for …

X-ray in-depth decomposition: Revealing the latent structures

X-ray is the most readily available imaging modality and has a broad range of applications that spans from diagnosis to intra-operative guidance in cardiac, orthopedics, and trauma procedures. Proper interpretation of the hidden and obscured anatomy …

Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images

Cathnets: detection and single-view depth prediction of catheter electrodes

Structure-preserving color normalization and sparse stain separation for histological images

Structure-preserved color normalization for histological images

Steps towards Establishing Telemedicine Center in Palestine

MA Thesis: Deep Learning-based method for virtual ECV in cardiac magnetic resonance imaging

Abstract. Diseases of the cardiovascular system are among the most common diseases worldwide and are the leading cause of death. The World Health Organization (WHO) estimates that about 17.9 million people die of cardiovascular diseases each year worldwide.