Fakultät Informatik und Mathematik
Regensburg Center for Artificial Intelligence
Regensburg Center of Biomedical Engineering
Regensburg Center of Health Sciences and Technology

Prof. Dr. rer nat. Christoph Palm

Szenensegmentierung Chirurgieroboter
DeepMIC - Deep learning based endoscope tracking
previous arrowprevious arrow
next arrownext arrow
previous arrowprevious arrow
next arrownext arrow
Christoph Palm
Christoph Palm
previous arrowprevious arrow
next arrownext arrow
previous arrowprevious arrow
next arrownext arrow
slider bild

The Regensburg Medical Image Computing (ReMIC) lab is located at the faculty Computer Science and Mathematics at Ostbayerische Technische Hochschule Regensburg (Technical University of Applied Sciences, OTH Regensburg).
.
Teaching focuses on the Bachelor's degree course in Medical Informatics and the Master's degree course in Medical Informatics..
.
Research of ReMIC concentrates on Medical Image Analysis .
.
Machine learning ("Deep Learning"):
Computer-aided diagnosis for classification and segmentation of image data, e.g. endoscopy, microscopy or radiology.
.
Virtual Reality:
Additionally, medical education and training by means of simulators, especially in connection with haptic components..

Image Computing for Life

Research

Szenensegmentierung Chirurgieroboter
DeepMIC - Deep learning based endoscope tracking
previous arrowprevious arrow
next arrownext arrow

Teaching

previous arrowprevious arrow
next arrownext arrow

About us

Christoph Palm
Christoph Palm
previous arrowprevious arrow
next arrownext arrow

What is ReMIC?

slider bild

The Regensburg Medical Image Computing (ReMIC) lab is located at the faculty Computer Science and Mathematics at Ostbayerische Technische Hochschule Regensburg (Technical University of Applied Sciences, OTH Regensburg).
.
Teaching focuses on the Bachelor's degree course in Medical Informatics and the Master's degree course in Medical Informatics..
.
Research of ReMIC concentrates on Medical Image Analysis .
.
Machine learning ("Deep Learning"):
Computer-aided diagnosis for classification and segmentation of image data, e.g. endoscopy, microscopy or radiology.
.
Virtual Reality:
Additionally, medical education and training by means of simulators, especially in connection with haptic components..

Wir benutzen Cookies um die Nutzerfreundlichkeit der Webseite zu verbessen. Durch Deinen Besuch stimmst Du dem zu.