Zobrazeno 1 - 10
of 1 024
pro vyhledávání: '"Gerum"'
Publikováno v:
Clinical Interventions in Aging, Vol Volume 18, Pp 689-711 (2023)
Falk Roeder,1 Alexandra D Jensen,2 Katja Lindel,3 Matthias Mattke,1 Frank Wolf,1 Sabine Gerum1 1Department of Radiation Therapy and Radiation Oncology, Paracelsus Medical University Hospital, Salzburg, Austria; 2Department of Radiation Oncology, Univ
Externí odkaz:
https://doaj.org/article/244cfaf1cb9c4db4a0d9505c97649661
Publikováno v:
Journal of Pain Research, Vol Volume 14, Pp 3121-3133 (2021)
Lisa Kugler,1 Christof Kuhbandner,1 Sarah Gerum,2 Christian Hierl,2 Tino Münster,2 Bernadette Offereins,3 Lea Sophie Lutterbach1 1Department of Psychology, University of Regensburg, Regensburg, Germany; 2Clinic for Anesthesia and Intensive Care Medi
Externí odkaz:
https://doaj.org/article/7ea70f1519b74c2195d76a5520856c79
Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by suppressing an upcoming seizure upon detection. Due to the restricted siz
Externí odkaz:
http://arxiv.org/abs/2406.16948
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-seri
Externí odkaz:
http://arxiv.org/abs/2310.07895
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
Autor:
Gerum, Christoph, Frischknecht, Adrian, Hald, Tobias, Bernardo, Paul Palomero, Lübeck, Konstantin, Bringmann, Oliver
The increasing spread of artificial neural networks does not stop at ultralow-power edge devices. However, these very often have high computational demand and require specialized hardware accelerators to ensure the design meets power and performance
Externí odkaz:
http://arxiv.org/abs/2209.03807
As convolutional neural networks (CNNs) become more accurate at object recognition, their representations become more similar to the primate visual system. This finding has inspired us and other researchers to ask if the implication also runs the oth
Externí odkaz:
http://arxiv.org/abs/2209.02582
Recent studies suggest that artificial neural networks (ANNs) that match the spectral properties of the mammalian visual cortex -- namely, the $\sim 1/n$ eigenspectrum of the covariance matrix of neural activities -- achieve higher object recognition
Externí odkaz:
http://arxiv.org/abs/2208.10576
Autor:
Schilling, Achim, Sedley, William, Gerum, Richard, Metzner, Claus, Tziridis, Konstantin, Maier, Andreas, Schulze, Holger, Zeng, Fan-Gang, Friston, Karl J., Krauss, Patrick
How is information processed in the brain during perception? Mechanistic insight is achieved only when experiments are employed to test formal or computational models. In analogy to lesion studies, phantom perception may serve as a vehicle to underst
Externí odkaz:
http://arxiv.org/abs/2204.03354
Autor:
Valizadegan, Hamed, Martinho, Miguel, Wilkens, Laurent S., Jenkins, Jon M., Smith, Jeffrey, Caldwell, Douglas A., Twicken, Joseph D., Gerum, Pedro C., Walia, Nikash, Hausknecht, Kaylie, Lubin, Noa Y., Bryson, Stephen T., Oza, Nikunj C.
The kepler and TESS missions have generated over 100,000 potential transit signals that must be processed in order to create a catalog of planet candidates. During the last few years, there has been a growing interest in using machine learning to ana
Externí odkaz:
http://arxiv.org/abs/2111.10009