MIDAS Lab

What MIDAS Lab does

MIDAS Lab (Medical Image and Data Analysis) is an interdisciplinary academic research group operating within the Department of Diagnostic and Interventional Radiology at University Hospital Tübingen (Universitätsklinikum Tübingen) in Baden-Württemberg, Germany. The lab focuses on advancing and translating artificial intelligence and machine learning methods for the processing and analysis of medical imaging data, with a particular emphasis on dynamic and multi-parametric MRI development and clinical translation. Its work targets patient-centered workflows in neurology, cardiology, and oncology, producing AI methods that are designed to be reliable, explainable, and human-interpretable for integration into clinical radiology practice.

The lab's core technology stack is AI/ML for medical image analysis, supported by proprietary research into MRI-specific methods and the hosting of the autoPET challenge, which provides large publicly available training datasets for the medical imaging research community. Research outputs are distributed through peer-reviewed publications, Google Scholar profiles, and public GitHub repositories that emphasize open and reproducible research. The team combines expertise from academic medicine (University Hospital Tübingen), leading AI research (Max Planck Institute for Intelligent Systems), and international collaboration (Stanford Medicine, Department of Radiology via the deputy head), as well as an industry tie to Siemens Healthineers.

MIDAS Lab is not a commercial entity. It is a research group within a public university hospital system with no disclosed revenue, no pricing model, no funding rounds, and no external venture or private equity ownership. Its primary institutional context is University Hospital Tübingen, and it distributes outputs exclusively through academic channels — peer-reviewed publications, open-source code repositories, challenge platforms, and educational programs such as the MIDAS.lab seminar and student thesis supervision.

Name

MIDAS Lab

Legal name

MIDAS Lab (Medical Image and Data Analysis)

Website

https://midaslab.org

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

MIDAS Lab is an academic research group at University Hospital Tübingen that develops AI and machine learning methods for medical imaging — particularly dynamic and multi-parametric MRI — serving clinical radiology in neurology, cardiology, and oncology.

Ownership category

akta.pro rank

Product category

Medical Imaging AI Research

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (54171)

SIC

Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Medical Imaging AI (HDAAAEAH)

Keywords

• Medical imaging AI
• Machine learning radiology
• MRI image analysis
• Clinical imaging research
• Diagnostic radiology AI

Headquarters

HQ city

Tübingen

HQ country

Germany

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations

Marketing channels4 records

Core offering

MIDAS Lab is an academic research group that develops artificial intelligence and machine learning methods for medical imaging data processing and analysis, with a focus on dynamic and multi-parametric MRI. It works on translating these AI methods into clinical applications for neurological, cardiovascular, and oncological diagnosis and management, while maintaining open and reproducible research through public GitHub repositories and by hosting the autoPET challenge platform.

Product overview

MIDAS Lab is an interdisciplinary research group focused on advancing and translating AI and machine learning methods for medical imaging data processing and analysis. Their work centers on developing reliable, explainable, and human-interpretable AI solutions for clinical practice integration, with patient-centered workflows for neurological, cardiovascular, and oncological diagnosis and management.

Differentiator

Problem solved

Functional benefit

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability2 records

Feature3 records

Partnerships

Three partnerships are on record, tiered core and minor.

• Max Planck Institute for Intelligent SystemscoreStrategic or Co-development PartnerInterdisciplinary collaboration with Max Planck Institute for Intelligent Systems, Germany. Scientists from this institute collaborate with the Department of Diagnostic and Interventional Radiology at University Hospital Tübingen for AI/ML research in medical imaging.
• Stanford Medicine, Department of RadiologycoreStrategic or Co-development PartnerProf. Dr. med. Dipl.-Math. Sergios Gatidis serves as Deputy Head of MIDAS Lab while based at Stanford Medicine, Department of Radiology, establishing international academic collaboration.
• University of Tübingen, Zentrum für Quantitative Biologie (QBiC)minorStrategic or Co-development PartnerCarolin Schwitalla, MSc, is affiliated with both University Hospital Tübingen and University of Tübingen's Center for Quantitative Biology (QBiC), supporting interdisciplinary quantitative biology research.

Recent moves5 records

Expansion highlights4 records

Direct peers

• Optellum: AI-driven clinical decision support for lung cancer diagnosis and management using medical imaging, directly overlapping with MIDAS Lab's oncology imaging focus area.
• Aidoc: Commercial medical imaging AI company offering AI-based decision support for radiologists across multiple modalities and clinical use cases, closely mirroring MIDAS Lab's clinical-radiology AI focus.
• Arterys: Medical imaging AI company applying deep learning to clinical imaging workflows including MRI, with comparable technology and clinical applications to MIDAS Lab.
• Paige.AI: AI company applying deep learning to pathology and medical imaging, originating from a leading academic medical center; comparable in technology and academic-to-commercial pathway to MIDAS Lab's research orientation.
• DeepHealth: AI-powered radiology solutions company offering clinical AI tools for medical imaging interpretation, comparable in product focus and clinical setting to MIDAS Lab.
• Quibim: Medical imaging AI company focused on quantitative imaging biomarkers and AI-based analysis of MRI/CT for oncology and other indications, comparable in technology and clinical use cases to MIDAS Lab.
• Nanox AI (formerly Zebra Medical Vision): AI medical imaging company developing deep-learning algorithms for radiology, comparable in technology stack and clinical target areas to MIDAS Lab's research focus.
• Siemens Healthineers: A leading medical imaging vendor with a major AI and digital health portfolio across MRI, CT, and radiology workflows. Strategic partner to MIDAS Lab via shared personnel, with directly overlapping focus on AI-augmented medical imaging.

Broad incumbents

• GE HealthCare: Global medical imaging equipment and AI solutions incumbent with broad radiology and imaging AI portfolio. Overlaps with MIDAS Lab's MRI focus but operates as a much larger, established vendor with broader scope.
• Philips Healthcare: Major medical imaging and clinical informatics incumbent with AI-driven diagnostic and imaging-analysis offerings, comparable in domain (clinical radiology AI) but at substantially larger scale and broader portfolio than MIDAS Lab.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• TikToktiktok.com/@uniklinikumtuebingen
• LinkedInlinkedin.com/company/midas-lab

Compliance7 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about MIDAS Lab