Browsing RPI Theses Online (Complete) by Author "Yan, Pingkun"
Now showing items 1-8 of 8
-
A bridged denoising convolutional neural network (BD-CNN) for photon-counting CT
Qian, Guhan (Rensselaer Polytechnic Institute, Troy, NY, 2019-05)Traditional monochromatic CT scanners have served as one of the most critical medical diagnostic instruments. Recently, the development of photon-counting CT brings spectral information to the otherwise black-and-white CT ... -
Advanced neural networks and their interpretation
Fan, Feng-Lei (Rensselaer Polytechnic Institute, Troy, NY, 2021-08)Deep learning has recently achieved huge successes in many applications including natural language processing, computer vision, medical imaging, and so on. In these cases, deep learning can outperform or compete with human. ... -
Compressive hyperspectral single-pixel imaging for lifetime imaging and tomography applications
Ochoa, Marien I. (Rensselaer Polytechnic Institute, Troy, NY, 2022-08)The present document summarizes the overall goal, specific objectives, preliminary results,current conclusions as well as the future aims to be addressed for completion of a PhD degree in Biomedical Engineering and is ... -
CT metal artifact reduction with machine learning and photon-counting techniques
Gjesteby, Lars Arne (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)X-ray computed tomography (CT) is a mainstay in medical imaging, playing major roles in disease diagnosis, injury evaluation, treatment planning, and response assessment. Metal implants, such as a dental filling, artificial ... -
Deep neural networks for mri applications
Lyu, Qing (Rensselaer Polytechnic Institute, Troy, NY, 2022-05)Magnetic resonance imaging (MRI) has been widely used for clinical disease diagnosis and neuroscience research since its invention. Compared with other commonly used medical imaging modalities like computed tomography and ... -
Improving surgical motor skill assessment and acquisition via neuromodulation, neuroimaging, and machine learning
Gao, Yuanyuan (Rensselaer Polytechnic Institute, Troy, NY, 2020-08)Secondly, we explore the possibility to emulate the current standardized surgical skill metric employed in the field, namely the FLS score, by combining neuroimaging data acquired during the task execution and machine ... -
Radiation dose simulations for personnel involved in fluoroscopically guided interventional procedures
Mao, Li (Rensselaer Polytechnic Institute, Troy, NY, 2020-05)To achieve this goal, three tasks are conducted in this study: (1) development of Monte Carlo simulation capability for radiation field and organ dose calculations in the FGI suite; (2) characterization of the relationship ... -
Semantically enabled medical image understanding
Agu, Nkechinyere Nneka (Rensselaer Polytechnic Institute, Troy, NY, 2022-08)Medical imaging examination is the most common form of routine medical analysis, which involves several stages of reasoning and careful analysis to reach a final decision by the radiologist. Most deep learning frameworks ...