Danilo Weber Nunes

Doctoral program

EndoPlan-3D

Project volume: approx. 1.37 million €
Sub-project of OTH Regensburg approx. 473 T€

Funding from the Federal Ministry of Research, Technology and Ruamfahrt

Christoph Palm

DeepMIC - Deep Learning based endoscope tracking

Project volume: approx. 534 T€
Sub-project of the OTH Regensburg: approx. 200 T€

Funded by the Bavarian Research Foundation

Robert Mendel

PhD program

Image-based early detection of Barrett's esophagus with semi-supervised learning algorithms

Project volume: approx. 281 T€

Funding program of the Bavarian State Ministry of Science and the Arts

Christoph Palm and Karsten Weber

Regensburg Center of Health Sciences and Technology (RCHST)

Sub-project: AI and ethics using the example of early detection of esophageal cancer

Total project volume: approx. 642 T€
Sub-project volume: approx. 231 T€

Funding program for applied research and development at universities of applied sciences - universities of applied sciences of the Free State of Bavaria

Christoph Palm

Development and evaluation of a haptic-visual learning system for surgical procedures

Sub-project: Realization of minimally invasive hand surgery

Funding reference 16SV7560

Total project volume: approx. € 1.26 million
Sub-project volume: approx. € 357 thousand

Christoph Palm

1st DFG Project Academy Medical Technology

and

DFG individual funding, PA 1595/3-1:

LearnBarrIDA: Image analysis and machine learning in Barrett's esophagus: Identification of dysplasia and adenocarcinoma

Project volume: approx. 19T€

Christoph Palm

1st DFG Young Investigators Academy Medical Technology
"Multimodal Imaging in Medicine"

and

DFG research grant, PA 1595/1-1:

In vivo versus in vitro: Software-based information fusion from multimodal imaging in rat brains

Project volume: approx. 43T€