Research Group: Computer Vision

187 to 192 of 194

27OCT 2022
Ph.D. Gallery
Siming Bayer
Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures With the introduction of computer-aided methods for diagnosis and intervention, patient outcomes of many clinical procedures have been increased tremendously in the last decades. An essential task thereby is the registration of inter- or intrapatient images that are acquired using a single or multiple […]Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures With the introduction of computer-aided methods for diagnosis and intervention, patient outcomes of many clinical procedures have been increased tremendously in the last decades. An essential task thereby is the registration of inter- or intrapatient images that are acquired using a single or multiple […]
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27OCT 2022
Ph.D. Gallery
Manuel Schneider
Quantitative Biomarkers for Abdominal Magnetic Resonance Imaging The global prevalence of various metabolic pathologies, such as the metabolic syndrome, obesity, diabetes or nonalcoholic fatty liver disease (NAFLD) has increased steadily in recent decades, and takes on the proportions of a worldwide epidemic. It is therefore important to understand background and pathogenesis of these disorders to […]Quantitative Biomarkers for Abdominal Magnetic Resonance Imaging The global prevalence of various metabolic pathologies, such as the metabolic syndrome, obesity, diabetes or nonalcoholic fatty liver disease (NAFLD) has increased steadily in recent decades, and takes on the proportions of a worldwide epidemic. It is therefore important to understand background and pathogenesis of these disorders to […]
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27OCT 2022
Ph.D. Gallery
Christian Marzahl
Deep Learning-based Cell Detection in Microscopy Images In recent years, classical pathology has been in a constant state of change towards digital pathology. Digitisation forms the basis for supporting the work of pathologists in many ways by utilising computer-assisted methods. Among other things, modern methods of pattern recognition can accelerate previously time-consuming quantitative analyses, support […]Deep Learning-based Cell Detection in Microscopy Images In recent years, classical pathology has been in a constant state of change towards digital pathology. Digitisation forms the basis for supporting the work of pathologists in many ways by utilising computer-assisted methods. Among other things, modern methods of pattern recognition can accelerate previously time-consuming quantitative analyses, support […]
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27OCT 2022
Ph.D. Gallery
AmirAbbas Davari
Hyperspectral Image Analysis using Limited Data This thesis studies the use case of hyperspectral images in two applications, namely remote sensing and art history. The common challenge that is present in both these applications is the limited availability of labeled data. This limitation is caused by the tedious, time-consuming, and expensive manual data labeling process […]
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21OCT 2022
News
Invited Talk: Prof. Dr. Jonghyun Choi, Yonsei University, 26th of October at 10 AM CET
It’s a great pleasure to welcome Prof. Dr. Jonghyun Choi as an invited speaker at our lab! Title: Continual Learning in Practical ScenariosLocation: https://fau.zoom.us/j/65471108515?pwd=UDZhUVlaQWZhc09jTTNGTHhWdHBjQT09Date & Time: 26th of October at 10 AM CET Abstract: Continual learning, especially class-incremental learning uses an episodic memory for past knowledge for better performance. Updating a model with the episodic […]It’s a great pleasure to welcome Prof. Dr. Jonghyun Choi as an invited speaker at our lab! Title: Continual Learning in Practical ScenariosLocation: https://fau.zoom.us/j/65471108515?pwd=UDZhUVlaQWZhc09jTTNGTHhWdHBjQT09Date & Time: 26th of October at 10 AM CET Abstract: Continual learning, especially class-incremental learning uses an episodic memory for past knowledge for better performance. Updating a model with the episodic […]
Read more about Invited Talk: Prof. Dr. Jonghyun Choi, Yonsei University, 26th of October at 10 AM CET
13OCT 2022
News
DFG grants funding to quantify ocular blood flow
The German research foundation provides support to the Pattern Recognition Lab’s ophthalmic imaging group, led by Stefan Ploner, in the amount of more than a quarter million Euro, over a 30-month funding period. With this meanwhile third grant, DFG continues to strengthen a long standing collaboration in OCT(A) motion correction and signal reconstruction between the […]
Read more about DFG grants funding to quantify ocular blood flow