Our mission is to accelerate progress in the medical device industry by sharing knowledge, creating tools, and providing quality services to our clients, with the ultimate purpose of improving patient health. We do so while providing meaningful, flexible, and financially rewarding careers to our team.

Our team of talented engineers produce top quality medical imaging applications. Our experience in the following areas means we can quickly solve problems that other teams can't:

- Custom web and desktop application development
- Medical UI/UX, including designing mockups and interactive prototypes
- Image registration, including intramodality and intermodality 3D-to-3D, 2D-to-2D, and 2D-to-3D rigid and deformable registration
- Image segmentation using traditional and machine-learning methods
- Deep learning using Keras and Tensorflow
- Imaging physics, image reconstruction, and signal processing
- Embedded systems, interfacing with cameras, etc.
- Custom medical image viewers (see our free online DICOM viewer)
- Clinical workflows (one of our founders is a medical doctor)
- DICOM, PACS, EMRs, and real-world integrations (our DICOM standard browser is visited by more than 1600 people/week)
- Regulatory issues, including HIPAA, IEC62304 and ISO13485
- Python, C, C++, Java, OpenCL, CUDA, and MATLAB
- Modern web technologies - React, Django, Sass, Typescript, Angular

We can work with with existing teams or independently.

Health Care

Health Data

Medical Devices

Innolitics

J. David Giese

Meri Martinez

Mihajlo Grčić

Yujan Shrestha

The Software Engineering team at Innolitics specializes in developing top-quality medical imaging applications. Leveraging expertise in custom web and desktop application development, medical UI/UX design, image registration and segmentation, deep learning, imaging physics, and various programming languages, the team tackles complex problems in the medical device industry. They ensure regulatory compliance, seamless integration with existing medical systems, and create innovative tools to improve clinical workflows and patient health outcomes.

Software Engineering

About

Team members