A5061052604- Soft Robotics and Applications
- Meteorological Phenomena and Simulations
- Fluid Dynamics and Turbulent Flows
- Robotics and Sensor-Based Localization
- Gastrointestinal Bleeding Diagnosis and Treatment
- Model Reduction and Neural Networks
- COVID-19 diagnosis using AI
- Cardiac Valve Diseases and Treatments
- Biomedical and Engineering Education
- Cardiovascular Function and Risk Factors
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence in Healthcare and Education
- Medical Imaging and Analysis
- Advanced Vision and Imaging
- Infrared Thermography in Medicine
- Cardiac Structural Anomalies and Repair
- Thermography and Photoacoustic Techniques
- Surgical Simulation and Training
- Cardiac Imaging and Diagnostics
- Advanced Measurement and Detection Methods
- Radiomics and Machine Learning in Medical Imaging
University of Colorado Boulder
2020-2023
Anderson University - South Carolina
2017
In recent years, several deep learning models have been proposed to accurately quantify and diagnose cardiac pathologies. These automated tools heavily rely on the accurate segmentation of structures in MRI images. However, right ventricle is challenging due its highly complex shape ill-defined borders. Hence, there a need for new methods handle such structure's geometrical textural complexities, notably presence pathologies as Dilated Right Ventricle, Tricuspid Regurgitation,...
Due to costs and practical constraints, field campaigns in the atmospheric boundary layer typically only measure a fraction of volume interest. Machine learning techniques have previously successfully reconstructed unobserved regions flow canonical fluid mechanics problems two-dimensional geophysical flows, but these not yet been demonstrated three-dimensional layer. Here, we conduct numerical analogue campaign with spatially limited measurements using large-eddy simulation. We pose...
With significant progress being made toward improving endoscope technology such as capsule endoscopy and robotic endoscopy, the development of advanced strategies for manipulating, controlling, more generally, easing accessibility these devices physicians is an important next step. This article presents autonomous navigation strategy use in utilizing a state-dependent region estimation approach to allow multimodal control design. estimator evaluated its accuracy predicting yaw angle camera...
Objective: Robotic endoscopes have the potential to dramatically improve endoscopy procedures, however current attempts remain limited due mobility and sensing challenges yet offer full capabilities of traditional tools. Endoscopic intervention (e.g., biopsy) for robotic systems remains an understudied problem must be addressed prior clinical adoption. This paper presents autonomous technique onboard a Endoscope Platform (REP) using forceps, auto-feeding mechanism, positional feedback....
Due to costs and practical constraints, field campaigns in the atmospheric boundary layer typically only measure a fraction of volume interest. Machine learning techniques have previously successfully reconstructed unobserved regions flow canonical fluid mechanics problems two-dimensional geophysical flows, but these not yet been demonstrated three-dimensional layer. Here, we conduct numerical analogue campaign with spatially limited measurements using large-eddy simulation. We pose...
Miniature infrared cameras have recently come to market in a form factor that facilitates packaging endoscopic or other minimally invasive surgical instruments. If absolute temperature measurements can be made with these cameras, they may useful for non-contact monitoring of electrocautery-based vessel sealing, thermal processes like ablation tumors. As first step evaluating the feasibility optical medical thermometry new this paper we explore how well them. These measure raw flux incoming...
This paper presents a new open-source dataset with ground truth position in simulated colon environment to promote development of real-time feedback systems for physicians performing colonoscopies. Four (DSO, LSD-SLAM, SfMLearner, ORB-SLAM2) are tested on this and their failures analyzed. A data collection platform was fabricated used take the colonoscopy training simulator that affixed flat surface. The noise positional induced from metal then characterized corrected. Absolute Trajectory...