The future of digital health with federated learning. NPJ Digit Med. 2020; 3: 119
Precise proximal femur fracture classification for interactive training and surgical planning.
Purpose Demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on …
Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations
Deep learning techniques are recently being used in fundus image analysis and diabetic retinopathy detection. Microaneurysms are important indicators of diabetic retinopathy …
Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography
Abstract Purpose: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT …
nadav-shapira
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
Chest X-ray radiography is one of the earliest medical imaging technologies and remains one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …
mohammad-eslami
GANs for medical image analysis
Generative adversarial networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical …
salome-kazeminia
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Computer vision and medical imaging have been revolutionized by the introduction of advanced machine learning and deep learning methodologies. Recent approaches have shown …
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step …
sharib-ali
& Cardoso, MJ (2020)
Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system
2D digital subtraction angiography (DSA) has become an important technique for interventional neuroradiology tasks, such as detection and subsequent treatment of aneurysms. In …
sai-gokul-hariharan