Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Heterogeneous CPU-FPGA systems are evolving towards tighter integration between CPUs
and FPGAs for improved performance and energy efficiency. At the same time …

Background and Objective B-spline interpolation (BSI) is a popular technique in the context
of medical imaging due to its adaptability and robustness in 3D object modeling. A field that …

Accurate and fast liver segmentation remains a challenging and important task for clinicians.
Segmentation algorithms are slow and inaccurate due to noise and low quality images in …

Compliant parts have different characteristics from rigid parts and are used frequently in
industries. One of the biggest challenges facing by industries is geometric variation …

Image registration is a commonly task in medical image analysis. Therefore, a significant
number of algorithms have been developed to perform rigid and non-rigid image …

Dynamic parallelism is a feature of general purpose graphics processing units (GPUs)
whereby threads running on a GPU can spawn other threads without CPU intervention. This …

Obtaining rapid and accurate segmentation of organs remains an important and challenging
task. Liver segmentation algorithms are slow and inaccurate due to noise and low-quality …

This work demonstrates in practical terms the evolutionary concepts and computational
applications of Parametric Curves. Specific cases were drawn from higher order parametric …

Good blood vessel segmentation in medical imaging is critical during surgery. We propose a
parallelized region growth algorithm (pSRG) computing the gradient using Persistence and …