Diabetic retinopathy (DR) is one of the leading cause of visual impairments in the working
age population in the developed world. It is a complication of both types of diabetes mellitus …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

The non-rigid multi-modal three-dimensional (3D) medical image registration is highly
challenging due to the difficulty in the construction of similarity measure and the solution of …

Stochastic gradient descent (SGD) is commonly used to solve (parametric) image
registration problems. In the case of badly scaled problems, SGD, however, only exhibits …

Multimodal registration is a method to register the volumes of different modalities, for eg,
computed tomography (CT) and magnetic resonance (MR). Mutual information (MI) based …

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This report presents a generic image registration benchmark with automatic evaluation
using landmark annotations. The key features of the BIRL framework are: easily extendable …

In this paper we aim to refine the concept of grand challenges in medical image analysis,
based on statistical principles from quantitative and qualitative experimental research. We …

Automatically generating one medical imaging modality from another is known as medical
image translation, and has numerous interesting applications. This paper presents an …

In this paper, we describe improvements to the particle swarm optimizer (PSO) made by the
inclusion of an unscented Kalman filter to guide particle motion. We show how this method …