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Faculty 3 - Mathematics and Computer Science: RG Digital Medicine

Team

Portät von Horst Hahn
© Fraunhofer MEVIS

Prof. Dr.-Ing. Horst Hahn

Head of Research Group

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Tom Koller at the Fraunhofer MEVIS
© Fraunhofer MEVIS / Tom Koller
Tom L. Koller

Dr.-Ing. Tom Koller

Teaching & Research

Modeling & Simulation, Tracking, Anomaly Detection

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© Universität Bremen

Karen Scholz

Research & Teaching

Multimodal Clinical Data Integration & Modeling, Deep Learning, Large Language Models & Language Processing

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Telephone.
© Matej Meza / Universität Bremen

Marlott Hederich

Office

Tel.: (0421) 218-64430

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Portät von Felix Thielke
© Felix Thielke

Felix Thielke°

Teaching

Image Analysis with Deep Learning

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Porträt von Hans Meine
© O. Klinghammer

Dr. Hans Meine°

Teaching & Research

Medical Image Segmentation, Deep Learning, Uncertainty Estimation

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People marked with ° are employed at  Fraunhofer MEVIS and are associated with our group in projects and teaching.

Students

Porträt von Michael Smagin
© Michael Smagin

Michael Smagin

Masterthesis

Long term Tracking of Knee Motion with Inertial Sensors - Challenges of the Wild

Porträt von Alena Naumova
© Alena Naumova

Alena Naumova

Bachelorthesis

Configuration of Voxel-Size Independent U-Net on MRI Data

Alumni Employees & Students

University of Bremen Illustration
© Universität Bremen

Ani Ambroladze

Research

Breast-MRI, Deep Learning

Porträt von Erik Immoor
© Erik Immoor

Erik Immoor

Masterthesis

Tracking with Non-Spherical Markers

Porträt von Kai Geissler
© Markus Reinke

Kai Geißler°

Research

Deep Learning, Med. Image Analysis, Breast-MRI, Uncertainty

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Porträt von Novruz Mammadli
© Novruz Mammadli

Novruz Mammadli

Masterthesis

Anomaly Detection on MRI Breast Cancer Screening Data

Porträt Von Aashrita Roy Potla
© O. Klinghammer

Aashrita Roy Potla

Masterthesis

Estimation of Hybrid Joint States with Inertial Sensors

Porträt von Jo Lienhoop
© Jo Lienhoop

Jo Lienhoop

Masterthesis

Shape Models of Vertebrae for Robust Segmentation on MRI

Porträt von Axel Wings
© Simon Dreßler

Dr. Axel Wings

Masterthesis

Time Series Clustering for Identifying Repetitive Patterns in IMU Gait Data with Anomalies

University of Bremen Illustration
© Universität Bremen

Leonard Haddad

Masterthesis

Nobody Nose -  An Evaluation of Nanotube-Based Olfactory Sensory for Neonatal Applications

Updated by: Tom Koller
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