Phd Student
CurrentThesis on explainable AI Segmentation for MR-guided online adaptive Radiotherapy.I also have a special interest in implementing these AI tools into the clinical workflow efficiently and nicely for clinicians to use
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Maximilian Konrad is listed as PhD student at the Radiophysics Laboratory of the Oncology Department at Odense University Hospital at OUH Odense Universitetshospital – Svendborg Sygehus, a with 2734 employees, based in Odense, Region of Southern Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Maximilian Konrad.
Maximilian Konrad previously worked as PHD Student at Ouh Odense Universitetshospital – Svendborg Sygehus and Research Assistant at Ouh Odense Universitetshospital – Svendborg Sygehus. Maximilian Konrad holds Master'S Degree, Physics from Syddansk Universitet - University Of Southern Denmark.
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I recently finished my master's in physics at the University of Southern Denmark where I specialized in biophysics and AI in medical physics. My thesis is about using machine learning to automate and enhance tumour region and organ at risk detection in radiation planning for patients with cervical cancer, which I worked on at the Odense University HospitalI did my bachelor’s in physics with a specialization in numerical and theoretical physics at Augsburg University. During my undergrad studies, I also attended computer science lectures giving me a deeper understanding of underlying programming schematics which I can apply to problems occurring in physics, machine learning, and general data science.During my studies, I worked as a student worker in the maritime industry as a front-end and back-end developer where I have been creating and maintaining the backend architecture (Django) including a REST API, and the dashboard application (Angular) collaborating with a UI/UX designer through which I get a feel for a good balance between design and translating given specifications and functionalities into well maintainable code.
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Odense Kommune, Region Of Southern Denmark, Denmark
Thesis on explainable AI Segmentation for MR-guided online adaptive Radiotherapy.I also have a special interest in implementing these AI tools into the clinical workflow efficiently and nicely for clinicians to use
Odense, South Denmark, Denmark
Established and maintained AI Inference Service for Organ-At-Risk and Target-Structure delineation in cancer treatment planning with a team, supporting offline treatment planning and online adaptive treatment planning at the MR-Linac.Pre-processing and training of AI models for various treatment sites.
Odense, South Denmark, Denmark
Created and maintained the database and backend architecture and deployment in AWSCreated and maintained the backend and REST API with Django Migrating the platform from a no-code platform to AngularDeveloped algorithm to generate sale opportunities for customers through data inference
Augsburg, Bavaria, Germany
Created and designed a self-assessment solution for international material science master applicantsMaintaining and modifying a moodle-based learning platformEditing and developing plug-ins for Django CMSSupport and teach individual chairs of the mathematical institute with website editing
Kempten (Allgäu), Bavaria, Germany
Cooperated with the marketing team in developing an online store for regional productsWorked collaboratively in a team environment on projects for www.roesle.comCustomer training for CMS-based online solutionsMaintaining solutions based on Shopware e-commerce and modifying Shopware plug-in hooks Customer support through Jira/Zendesk
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Ole Dan Jørgensen
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusRegion Of Southern Denmark, Denmark
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Dorthe Kolster
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusDenmark
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Liselotte Sommer
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusRegion Of Southern Denmark, Denmark
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Brian Hansen
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusOdense, Region Of Southern Denmark, Denmark
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Dorthe Madsen
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusSvendborg, Region Of Southern Denmark, Denmark
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Manuella Birch Caspersen
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusOdense, Region Of Southern Denmark, Denmark
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Christina Bank
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusRegion Of Southern Denmark, Denmark
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Lena Cridland
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusSvendborg, Region Of Southern Denmark, Denmark
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Michael Dall
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusOdense, Region Of Southern Denmark, Denmark
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Claus Chr. Vinther
Colleague at Ouh Odense Universitetshospital – Svendborg SygehusOdense, Region Of Southern Denmark, Denmark
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Thesis about Automatic Delineation in Brachytherapy for Cervical Cancer Focus on Medical Physics and Biophysics Research Projects: •.
Thesis about Quantum Transport in Molecular Junctions using the GW Approximation Minor in Computer Science with a focus on Database.
Quick answers generated from the profile data available on this page.
Maximilian Konrad works for OUH Odense Universitetshospital – Svendborg Sygehus.
Maximilian Konrad is listed as PhD student at the Radiophysics Laboratory of the Oncology Department at Odense University Hospital at OUH Odense Universitetshospital – Svendborg Sygehus.
Maximilian Konrad is based in Odense, Region of Southern Denmark, Denmark while working with OUH Odense Universitetshospital – Svendborg Sygehus.
Maximilian Konrad has worked for Ouh Odense Universitetshospital – Svendborg Sygehus, Nautimated Technology, University Of Augsburg, and Team Nifty Gmbh.
Maximilian Konrad's colleagues at OUH Odense Universitetshospital – Svendborg Sygehus include Ole Dan Jørgensen, Dorthe Kolster, Liselotte Sommer, Brian Hansen, and Dorthe Madsen.
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Maximilian Konrad holds Master'S Degree, Physics from Syddansk Universitet - University Of Southern Denmark.
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