Archives: Thesis

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25MAY 2020
Pattern Recognition Blog
You want to Learn Deep, but You don’t have Data?
Give Known Operators a try! Written by Andreas Maier. I am sure that all of you love Deep Learning. A major issue is though that most cool Deep Learning solutions require vast amounts of data. It easily goes into millions of training examples. I particular, if you work in medical image processing, you won’t have […]
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18MAY 2020
News
Three Awards for the Pattern Recognition Lab on BVM 2020
It is a great pleasure to announce that colleagues at the Pattern Recognition Lab won several awards on this year’s virtual Bildverarbeitung für die Medizin 2020 conference: Best Scientific Paper 1st Place: Alexander Preuhs Deep Autofocus with Cone-Beam CT Consistency ConstraintPRS Video Best Scientific Paper 3rd Place: Felix DenzingerDeep Learning Algorithms for Coronary Artery Plaque […]
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09MAY 2020
News
First Corona Defense at the Lab: Marc Aubreville graduated on 8th of May 2020!
Marc Aubreville celebrates his personal „Liberation Day“ on May, 8th as he passed his doctoral final exam with distinction. We congratulate Marc for his achievements at the lab and celebrate that COVID-19 won’t stop us from continuing our research! Congratulations, Marc! A big step for you and a giant leap towards managing the Corona Crisis […]
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05MAY 2020
News
New PhD student
Faezeh Nejati Hatamian received her Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. She joined the Pattern Recognition Lab in April 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. Her Ph.D. research project focuses on the determination of the forming limits of metal sheets […]Faezeh Nejati Hatamian received her Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. She joined the Pattern Recognition Lab in April 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. Her Ph.D. research project focuses on the determination of the forming limits of metal sheets […]
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01MAY 2020
Datasets
ScriptNet: ICDAR2017 Competition on Historical Document Writer Identification
This dataset was used in the ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI). The dataset used in this competition consists of 3600 handwritten pages originating from 13th to 20th century. It contains manuscripts from 720 different writers where each writer contributed five pages. Trainings & Test dataset where the first number is the writer […]
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01MAY 2020
Datasets
Image Retrieval for Historical Handwritten Documents (Historical-IR19)
This dataset was used in the ICDAR2019 Competition on Image Retrieval for Historical Handwritten Documents (ICDAR-2019-HDRC-IR). The dataset consists of 20 000 document images representing about 10 000 writers, divided in three types: writers of (i) manuscript books, (ii) letters, (iii) charters and legal documents. The dataset can be downloaded from: https://zenodo.org/record/3262372 For more details […]This dataset was used in the ICDAR2019 Competition on Image Retrieval for Historical Handwritten Documents (ICDAR-2019-HDRC-IR). The dataset consists of 20 000 document images representing about 10 000 writers, divided in three types: writers of (i) manuscript books, (ii) letters, (iii) charters and legal documents. The dataset can be downloaded from: https://zenodo.org/record/3262372 For more details […]
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