PACS/RIS/VNA/VR
- Experience with DICOM/HL7/DICOMweb
- Machine Learning in tf2 now pytorch
- Python
- business analytics
Client Technology Lead | Healthcare and Human Services @ Microsoft, WA , Australia
- Lead Pre-Sale Solutions Architect @ Annalise ai
- Supervising PACS/RIS Systems Admin @ Sir Charles Gairdner Hospital , WA , Australia
- Clinical Solutions Architect @ HSS, Perth, WA, Australia
- Medical Imaaging Techologist @ Sir Charles Gairdner Hospital , WA , Australia
Laterality Xray Error Detection
- running in production : Detecting imaging errors in a busy public radiology department. Built originally on TF but being migrated to pytorch
- currently being developed: Pass data into radiologist report via API
- running in production : ETL of PACS health and visualistion in Grafana Dashboards
AGFA IMPAX Performance Metrics
- running in production : ETL of loading/viewing of images on IMPAX cient and expanding on current ianalyze functionality
Microsoft Medical Imaging DICOM Server Tools
- running in test : Docker version of Microsoft Medical Imaging Server locally hosted - DicomWEB Tools
Mutli Label Chest Xray Pathology Idenifier
- currently being developed : Prelim reading of chest xrays with DICOMSR created with rating of observed pathologies
AGFA Xero Healthcheck
- running in production : Healthcheck of ZFP AGFA Xero dicom viewer using ChromeDriver
PACS Admin Toolkit 1.0
- Beta Testing : PACS admin tools such as DMWL checker , API tester, DICOMweb, HL7 ORM sender + more
Utilization of Kanban Boards for PACS / RIS Administrator Teams
- Scientific Poster Presentation @ SIIM 2019 , Denver, CO , USA
Considerations for Exchanging and Sharing Medical Images
- Considerations for Exchanging and Sharing Medical Images for Improved Collaboration and Patient Care: HIMSS-SIIM Collaborative White Paper , June 2016
- Helps find the price range entered by the agent not avaliable to buyers
- Quick script to help with ETL of Strava data via API
- A analytics driven residential land comparision website to help buyers search blocks on land on metadata
I am interested in helping develop Medical Imaging applications, in particular machine learning / data science