the curious researcher persistently striving for new solutions, the developer building and adapting novel technologies, the clinician devoting free time to pursue breakthroughs.
To all you heroes who make this world a little bit better, healthier and brighter.
Effortless, robust, and adaptable. Our platform enables users to seamlessly construct image processing pipelines by integrating predefined operations, all within an intuitive visual programming interface.
Visual programming is the core of Hero Imaging. Designing a workflow is trivially easy and extremely fast using drag-and-drop, with hundreds of functions available at your fingertips. Try out new ideas and compare different approaches to quickly determine the best solution to any challenge.
Create custom plugin nodes to run Python code (Matlab coming soon) directly from Hero, with full debugging support.
Import neural networks into Hero and access cutting edge functionality with drag-and-drop simplicity. The best part is that you can easily share networks and plugins with other users.
Seamless integration into the DICOM ecosystem. Forget about USB and portable hard drives – it’s all about simplicity and efficiency. Hero also allows you to organise data into private or shared databases, simplifying collaborations and data structuring.
Participate in discussions, ask for tips or share your knowledge, nodes or workflows with other users.
Hero has been constructed to facilitate collaboration - within and between teams. Users can easily share workflows, AI models and bespoke plugins with colleagues and partners. Hero also comes with efficient database tools to make your projects run smoothly.
Great science is meant to be shared. We're happy to show you how it works and how it can leverage your projects.
New, successful ideas drive us forward as a society. We proudly serve imaging heroes around the globe that strive to make the world a better place. Please let us know if your acts of heroism aren’t listed.
Neural network-assisted automated image registration for MRI-guided adaptive brachytherapy in cervical cancerLearn more
Head and neck cancer patient positioning using synthetic CT data in MRI‐only radiation therapyLearn more
MRI bias field correction with an implicitly trained CNNLearn more
An MRI sequence independent convolutional neural network for synthetic head CT generation in proton therapyLearn more
Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRILearn more
Deep learning‐based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapyLearn more
Take a second to listen to other heroes, and how we've leveraged their work.
This is a high-end framework to register and analyze multimodal medical image information. Hero allows us to assess potential new image diagnostic tools in a professional environment where both the simplicity of an idea and the complexity of its implementation needs to be considered.
Eirik Malinen 🇳🇴
Professor in medical physics, University of Oslo, Oslo, Norway
Using Hero for data evaluation is highly appealing to students and researchers, as it involves little start-up difficulties. The graphical way of programming the analysis comes naturally.
Peter Kuess 🇦🇹
Phd, Department of Radiotherapy, Medical University of Vienna
Previously we either used a number of radiotherapy applications to piece together the required approach, or utilised other, less intuitive proprietary programming environments to perform image analysis. Hero Imaging provides a single interface which, so far, has solved all our image and data analysis requirements.
Hazel McCallum 🇬🇧
Consultant Clinical Scientist, Northern Centre for Cancer Care, Newcastle upon Tyne, UK
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