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

Scene segmentation surgical robots
HaptiVisT
Barrett's Esophagus
Medical Image Analysis Viewer (miaViewer)
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Lecture I
SoSe 2020

Medical image processing

V3/Ü1, german
Course of studies "Medical Informatics"
Lecture II
SoSe 2020

Image processing and 3D visualization

V3/Ü1, german
Course of studies "Medical Informatics"
Contact
Prof. Dr. rer. nat. Christoph Palm
Office: K 213
ReMIC Lab: K 202

Tel.: +49 941 / 943-1314
Tel. (Sekr.): +49 941 / 943-1264
Email: christoph.palm(At)oth-regensburg.de
Consultation hours


by appointment only (registration by email to christoph.palm (At) oth-regensburg.de required!)
in the summer semester 2020:


During the examination period and during the semester break:
at the moment the consultation hour is only virtual. Please contact us by email to christoph.palm (At) oth-regensburg.de You will then receive an individual appointment and a link for video conferencing access
Master theses by Benjamin Maiwald
Bachelor thesis by Moritz Jungtäubl
Bachelor thesis by Cristian Sanchez
Bachelor thesis by Tobias Rückert
Bachelor thesis by Bianca Haux
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Christoph Palm
Johannes Maier
Robert Mendel
David Rauber
Tobias Rückert
Maximilian Weiherer
Sümeyye R. Yildiran
Martin Zorn
Leonard Klausmann
Luis Antonio de la Souza
Ching-Sheng Chang
Julia Irrgang
Moritz Jungtäubl
Danilo Weber Nunes
Sophia Strasser
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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
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Research

Scene segmentation surgical robots
HaptiVisT
Barrett's Esophagus
Medical Image Analysis Viewer (miaViewer)
previous arrowprevious arrow
next arrownext arrow
Slider

Teaching

Lecture I
SoSe 2020

Medical image processing

V3/Ü1, german
Course of studies "Medical Informatics"
Lecture II
SoSe 2020

Image processing and 3D visualization

V3/Ü1, german
Course of studies "Medical Informatics"
Contact
Prof. Dr. rer. nat. Christoph Palm
Office: K 213
ReMIC Lab: K 202

Tel.: +49 941 / 943-1314
Tel. (Sekr.): +49 941 / 943-1264
Email: christoph.palm(At)oth-regensburg.de
Consultation hours


by appointment only (registration by email to christoph.palm (At) oth-regensburg.de required!)
in the summer semester 2020:


During the examination period and during the semester break:
at the moment the consultation hour is only virtual. Please contact us by email to christoph.palm (At) oth-regensburg.de You will then receive an individual appointment and a link for video conferencing access
Master theses by Benjamin Maiwald
Bachelor thesis by Moritz Jungtäubl
Bachelor thesis by Cristian Sanchez
Bachelor thesis by Tobias Rückert
Bachelor thesis by Bianca Haux
previous arrowprevious arrow
next arrownext arrow
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About us

Christoph Palm
Johannes Maier
Robert Mendel
David Rauber
Tobias Rückert
Maximilian Weiherer
Sümeyye R. Yildiran
Martin Zorn
Leonard Klausmann
Luis Antonio de la Souza
Ching-Sheng Chang
Julia Irrgang
Moritz Jungtäubl
Danilo Weber Nunes
Sophia Strasser
previous arrowprevious arrow
next arrownext arrow
Slider

What is ReMIC?

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..

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