Our mission

Medical images are ubiquitous in healthcare. They are used for diagnosis in radiology, for surgical planning, to quantify disease progression, and in many other workflows. Their use is increasing dramatically due to an aging population and healthcare innnovations.

XDMD develops software to analyze medical images. We have world-class expertise in AI and machine learning and a deep understanding of the imaging pipeline. While CT, MR, and US are the most common modalities and our roots in neurovascular imaging, we work with all modalities, anatomies, and pathologies.

Our software adheres to the highest quality standards. We are actively advancing our processes to align with applicable regulatory. We work B2B on a project basis with hospitals and medical-technical companies and are preparing to support pharmaceutical companies and contract research organizations (CROs).

Hospitals

XDMD serves hospitals that need to analyze images in research settings. For example, a clinician may want to investigate a new imaging biomarker in a target patient population, but existing products on the market do not support this. XDMD develops tailor-made solutions to address this need. For academic researchers, XDMD can also act as small enterprise in public-private partnerships grants.

Medtech

XDMD serves companies developing medical devices that use or produce images. These include diagnostic and intervention imaging systems, endoscopic and surgical camera systems, digital pathology imaging systems, portable or point-of-care devices, etcetera. We develop algorithms not only for image interpretation but also for image reconstruction and registration.

Pharma

We are preparing our cloud-based platform and internal processes to comply with regulatory and industry standards specific to clinical trials. Additionally, we focus on data normalization, which is essential for handling patient and scanner variability. These measures enable us to support pharmaceutical companies and CROs in conducting multi-center and longitudinal trials that require accurate and reproducible imaging biomarkers. Our initial focus is on clinical trials in the fields of neurology and cardiology.

If you are a hospital or company representative and are interested in applying image analysis in your patient workflow, medical device, or clinical trial, please contact us.

Registration

Segmentation

Detection

The most common tasks in medical imaging are registration (spatial alignment), segmentation (contouring of objects), and detection. For example, the registration of pre-operative with intra-operative images to guide surgery, the segmentation of tumors to measure their volume, or the detection of microbleeds to assess neurological damage.

However, we develop software algorithms for the entire imaging pipeline – from acquisition and reconstruction, to registration, segmentation, and detection, to contextual interpretation (what do the image findings mean for the patient?) and generating patient reports.

People

Rashindra Manniesing (founder)

Rashindra Manniesing holds a Master’s degree in Electrical Engineering (Delft University of Technology) and a PhD in Medical Image Analysis (Utrecht University), and has over 15 years of experience in the radiology departments of three major Dutch academic hospitals. He is an internationally recognized leading expert in neurovascular imaging with over 70 publications in top journals and conference proceedings. He co-founded a company building evidence-based search and worked as independent scientific advisor in medical imaging before starting XDMD in 2024. Dr. Manniesing is curious and creative, and able to balance attention to detail with a strong vision.

Stefan Klein (advisor)

Stefan Klein holds a Master’s degree in Mechanical Engineering (University of Twente) and a PhD in Medical Image Analysis (Utrecht University), and currently is associate professor and general chair of the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus MC, the Netherlands. He has published extensively, with over 180 publications, in a wide range of domains including image registration, magnetic resonance imaging, and retina imaging. Prof. Klein is a critical thinker and easily cuts through complexity to address the core of problems. This is his personal website.

Kind words

“I have had the privilege of working with Rashindra Manniesing on several projects related to image processing and AI in the field of neuroradiology and stroke. He is always eager to share his insights and feedback, and to collaborate in a constructive and respectful way. He is a great team player, always ready to support and inspire. I admire his creativity and dedication for his work, and I look forward to our future collaborations”

– Anton Meijer, PhD, MD, neuroradiologist, Radboudumc, Nijmegen, The Netherlands