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
HaptiVisT
HaptiVisT
Barrett's Esophagus
ML4Gastro - AI projects for computer assistance in endoscopy of the upper gastrointestinal tract
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Graph (miaGraph)
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Lecture I SoSe 2023
Medical Image Processing
V3/Ü1, german Course of studies "Medical Informatics"
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Lecture II SoSe 2023
Image processing and 3D visualization
V3/Ü1, german Course of studies "Medical Informatics"
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Contact
Prof. Dr. rer. nat. Christoph Palm Office: K 213 ReMIC Lab: K 202
The office hours for course advising take place by appointment. In order to get an appointment, please contact us by email and mention the reason for the consultation!
Bachelorarbeit von Melanie Rackl
Bachelor thesis by Melanie Rackl
Bachelorarbeit von Melanie Rackl
Bachelor thesis by Alexandra Marchl
Masterarbeit von Benjamin Maiwald
Master theses by Benjamin Maiwald
Bachelorarbeit von Moritz Jungtäubl
Bachelor thesis by Moritz Jungtäubl
Bachelorarbeit von Cristian Sanchez
Bachelor thesis by Cristian Sanchez
Bachelorarbeit von Tobias Rückert
Bachelor thesis by Tobias Rückert
Bachelorarbeit von Bianca Haux
Bachelor thesis by Bianca Haux
Christoph Palm
Christoph Palm
Robert Mendel
Robert Mendel
Stephanie Mennle
Stephanie Mennle
David Rauber
David Rauber
Tobias Rückert
Tobias Rückert
Sümeyye R. Yildiran
Sümeyye R. Yildiran
Leonard Klausmann
Leonard Klausmann
Danilo Weber Nunes
Danilo Weber Nunes
Jonas Fiedler
Jonas Fiedler
Max Gutbrod
Max Gutbrod
Maximilian Weiherer
Maximilian Weiherer
Slide 1
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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
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
HaptiVisT
HaptiVisT
Barrett's Esophagus
ML4Gastro - AI projects for computer assistance in endoscopy of the upper gastrointestinal tract
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Viewer (miaViewer)
Medical Image Analysis Graph (miaGraph)
Teaching
background-slider-white
Lecture I SoSe 2023
Medical Image Processing
V3/Ü1, german Course of studies "Medical Informatics"
background-slider
Lecture II SoSe 2023
Image processing and 3D visualization
V3/Ü1, german Course of studies "Medical Informatics"
background-slider-blue
Contact
Prof. Dr. rer. nat. Christoph Palm Office: K 213 ReMIC Lab: K 202
The office hours for course advising take place by appointment. In order to get an appointment, please contact us by email and mention the reason for the consultation!
Bachelorarbeit von Melanie Rackl
Bachelor thesis by Melanie Rackl
Bachelorarbeit von Alexandra Marchl
Bachelor thesis by Alexandra Marchl
Masterarbeit von Benjamin Maiwald
Master theses by Benjamin Maiwald
Bachelorarbeit von Moritz Jungtäubl
Bachelor thesis by Moritz Jungtäubl
Bachelorarbeit von Cristian Sanchez
Bachelor thesis by Cristian Sanchez
Bachelorarbeit von Tobias Rückert
Bachelor thesis by Tobias Rückert
Bachelorarbeit von Bianca Haux
Bachelor thesis by Bianca Haux
About us
Christoph Palm
Christoph Palm
Robert Mendel
Robert Mendel
Stephanie Mennle
Stephanie Mennle
David Rauber
David Rauber
Tobias Rückert
Tobias Rückert
Sümeyye R. Yildiran
Sümeyye R. Yildiran
Leonard Klausmann
Leonard Klausmann
Danilo Weber Nunes
Danilo Weber Nunes
Jonas Fiedler
Jonas Fiedler
Max Gutbrod
Max Gutbrod
Maximilian Weiherer
Maximilian Weiherer
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..
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..
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