Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Jackie Ma"'
Autor:
Patrick Wagner, Maximilian Springenberg, Marius Kröger, Rose K. C. Moritz, Johannes Schleusener, Martina C. Meinke, Jackie Ma
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Machine learning is transforming the field of histopathology. Especially in classification related tasks, there have been many successful applications of deep learning already. Yet, in tasks that rely on regression and many niche application
Externí odkaz:
https://doaj.org/article/1fd3ca29502d4f43a417cc8d25ec75fa
Autor:
Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-4 (2020)
Abstract Digital contact tracing approaches based on Bluetooth low energy (BLE) have the potential to efficiently contain and delay outbreaks of infectious diseases such as the ongoing SARS-CoV-2 pandemic. In this work we propose a machine learning b
Externí odkaz:
https://doaj.org/article/b9e0aea758e242848b57b9e08fe2a1eb
Autor:
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
Publikováno v:
PLoS ONE, Vol 17, Iss 10 (2022)
There is an increasing number of medical use cases where classification algorithms based on deep neural networks reach performance levels that are competitive with human medical experts. To alleviate the challenges of small dataset sizes, these syste
Externí odkaz:
https://doaj.org/article/c37b51e2d2d84c8ea6b40ed12f27cf24
Autor:
Monique M Kuglitsch, Arif Albayrak, Jürg Luterbacher, Allison Craddock, Andrea Toreti, Jackie Ma, Paula Padrino Vilela, Elena Xoplaki, Rui Kotani, Dominique Berod, Jon Cox, Ivanka Pelivan
Publikováno v:
Environmental Research Letters, Vol 18, Iss 9, p 093004 (2023)
Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-based models in the field of disaster risk reduction (DRR) contributing to tools such as disaster early warning systems. Given the number of in situ and remote
Externí odkaz:
https://doaj.org/article/76c7670465f049ada5163d93315e8139
Autor:
Till M. Schneider, Jackie Ma, Patrick Wagner, Nicolas Behl, Armin M. Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus, Sina Straub
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Objectives To characterize subcortical nuclei by multi-parametric quantitative magnetic resonance imaging.Materials and Methods: The following quantitative multiparametric MR data of five healthy volunteers were acquired on a 7T MRI system: 3D gradie
Externí odkaz:
https://doaj.org/article/b53e0936dcde46afb1574e05590be31b
Autor:
Alexander H. Thieme, Yuanning Zheng, Gautam Machiraju, Chris Sadee, Mirja Mittermaier, Maximilian Gertler, Jorge L. Salinas, Krithika Srinivasan, Prashnna Gyawali, Francisco Carrillo-Perez, Angelo Capodici, Maximilian Uhlig, Daniel Habenicht, Anastassia Löser, Maja Kohler, Maximilian Schuessler, David Kaul, Johannes Gollrad, Jackie Ma, Christoph Lippert, Kendall Billick, Isaac Bogoch, Tina Hernandez-Boussard, Pascal Geldsetzer, Olivier Gevaert
Undetected infection and delayed isolation of infected individuals are key factors driving the monkeypox virus (now termed mpox virus or MPXV) outbreak. To enable earlier detection of MPXV infection, we developed an image-based deep convolutional neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf64fdf16a047262f5c460433fea12d
https://hdl.handle.net/10481/80925
https://hdl.handle.net/10481/80925
Autor:
Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but complementary quality requirements beyond a mere classification accuracy. In o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f966cdad1cdfeea1e5f65bfaf52c1e2
http://arxiv.org/abs/2204.05044
http://arxiv.org/abs/2204.05044
Autor:
Elena Xoplaki, Andrea Toreti, Florian Ellsäßer, Muralidhar Adakudlu, Eva Hartmann, Niklas Luther, Johannes Damster, Kim Giebenhain, Andrej Ceglar, Jackie Ma
The project DAKI-FWS (BMWi joint-project “Data and AI-supported early warning system to stabilise the German economy”; German: “Daten- und KI-gestütztes Frühwarnsystem zur Stabilisierung der deutschen Wirtschaft”) develops an early warning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bcf9c22c3e87e33ad4ab71e7ccac3b2
https://doi.org/10.5194/egusphere-egu22-10276
https://doi.org/10.5194/egusphere-egu22-10276
Autor:
Gayathri Venugopal, Christian R. Helmrich, Michael Schafer, Adam Wieckowski, Detlev Marpe, Tung Nguyen, Heiko Schwarz, Jennifer Rasch, Thomas Wiegand, Martin Winken, Jonathan Pfaff, Wang-Q Lim, Santiago De-Luxan-Hernandez, Benjamin Bross, Tobias Hinz, Jackie Ma, Mischa Siekmann, Philipp Helle
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:1281-1295
In this paper, we describe a video coding design that enables a higher coding efficiency than the HEVC standard. The proposed video codec follows the design of block-based hybrid video coding, but includes a number of advanced coding tools. A part of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dca20aec38bd465c224121039153cab
https://doi.org/10.1109/tcsvt.2019.2945918
https://doi.org/10.1109/tcsvt.2019.2945918
Autor:
Martin Bendszus, Armin M. Nagel, Jackie Ma, Mark E. Ladd, Patrick Wagner, Sina Straub, Nicolas G.R. Behl, Till M. Schneider, Sabine Heiland
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
Objectives To characterize subcortical nuclei by multi-parametric quantitative magnetic resonance imaging.Materials and Methods: The following quantitative multiparametric MR data of five healthy volunteers were acquired on a 7T MRI system: 3D gradie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb996a74a5ca5b645ec0b181b153757e
https://opus4.kobv.de/opus4-fau/files/16772/fnins-15-661504-g002.tif
https://opus4.kobv.de/opus4-fau/files/16772/fnins-15-661504-g002.tif