Deep Learning Archives - Pattern Recognition Lab

Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

Every model is wrong, but some models are useful Written by Andreas Maier. We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were significant ups and downs on the way. In some of these phases, peopl...

Pattern Recognition Lab embraces Online Teaching

Over the years, we have collected a rather large collection of online teaching material that we now also highlight on our Teaching Section. One feature is the Deep Learning Material with video lectures and online experimentation environments on various topics. Another gem is the new version of the ...

Two Projects submitted to EU Call DT-TRANSFORMATIONS-12

On Thursday, the 19th of March 2020, we submitted two 3 Million EUR grants to the European Commission. One project aims at building a European Network to establish Book CT as a method to access cultural information in historical books non-invasively from Scanning over Handwritten-Text-Recognition a...

BMBF to fund joint project on MR Imaging and Deep Learning in Cooperation with University of Würzburg

We are proud to announce the funding of "Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)“ by BMBF. The project examines the use and further development of machine learning methods for MR image reconstruction and for the classification of liver lesions. Ba...

Pattern Recognition for Material Characterisation 2.0

We just received news that we are able to continue our project on material characterisation using machine learning for another two years. DFG will fund the use of deep learning procedures to determine the forming limits of metal sheets with approximately 150,000 EUR. The project is conducted in coo...

Best paper award at the Iberoamerican conference on pattern recognition (CIARP 2019)

Camilo Vasquez, a PhD student of our lab was granted with the best paper award at the Iberoamerican conference on pattern recognition (CIARP 2019) that was held in Havana (Cuba) from 28.10.2019 to 31.10.2019. The award was given by the paper "Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages". The transfer learning scheme aims to improve the accuracy of the models when the weights of a CNN are initialized with utterances from a different language than the used for the test set.

Five students excel in Deep Learning Class

Congratulations to Maniraman Periyasamy, Meike Biendl and Alexander Richter, Jonas Utz, and Henrik Willer for their outstanding achievements in the Deep Learning Challenge 2019! A great success. Please enjoy the backpacks that were donated by Nvidia!

New DFG Project on Deep Learning in Medical Imaging funded!

In a cooperation with Marc Kachelriess (DKFZ), Michael Lell (Klinikum Nürnberg Nord) and our lab, we successfully applied for another DFG Project. The aim of the project is to estimate patient-individualised dose for a CT scan using deep learning techniques. In the project, we will unite deep learn...

Tag: Deep Learning