Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …

Robotics applications in facial plastic surgery has been practical and observed to have
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …

Medical imaging is an essential technique for the diagnosis and treatment of diseases in
modern clinics. Soft computing plays a major role in the recent advances in medical …

Facial plastic, head, and neck surgeries have come along a long way from the time they
were introduced. Advancement of technology in a variety of directions, including, but not …

Image reconstruction from a small number of projections is a challenging problem in
tomography. Advanced algorithms that incorporate prior knowledge can sometimes produce …

The area of machine learning, especially deep learning, has exploded in recent years,
producing advances in everything from speech recognition and gaming to drug discovery …

We propose a supervised machine learning approach for boosting existing signal and
image recovery methods and demonstrate its efficacy on example of image reconstruction in …

Algorithms based on linear approximation are the primary methods for fast online image
reconstruction in electrical capacitance tomography (ECT). One-step reconstruction …

We investigate neural network image reconstruction for magnetic particle imaging. The
network performance strongly depends on the convolution effects of the spectrum input data …

A new approach for tomographic image reconstruction from projections using Artificial
Neural Network (ANN) techniques is presented in this work. The design of the proposed …