Dr. Florian Knoll

Professor

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Biography

Florian Knoll is a professor at Friedrich-Alexander-University Erlangen-Nuremberg, where he leads the Computational Imaging Lab. His research focuses on the development and application of machine learning methods in medical imaging, particularly aimed at translating these advancements into clinical practice to assist patients on a daily basis. Knoll's specific interests lie in data acquisition and image reconstruction methods to enhance magnetic resonance imaging (MRI), making it faster and more robust against artifacts, while also facilitating the imaging of new anatomical and pathological processes. Furthermore, his work aims to standardize image interpretation and develop quantitative biomarkers for disease processes, thereby increasing global accessibility to imaging technologies. Knoll has held roles as a scientific lead in significant initiatives including the fastMRI data sharing initiative and the associated image reconstruction challenge. His research group has been funded by various grants from the NIH, including projects focused on machine learning for MRI image reconstruction and quantitative MR fingerprinting. Knoll is an advocate for reproducible research in imaging and has served as the outgoing chair of the ISMRM reproducible research study group.

Research Interests

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).