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Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization (bibtex)
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization (bibtex)
by F. Pasa, V. Golkov, F. Pfeiffer, D. Cremers and D. Pfeiffer
Reference:
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization (F. Pasa, V. Golkov, F. Pfeiffer, D. Cremers and D. Pfeiffer), In Scientific Reports, volume 9, 2019. 
Bibtex Entry:
@article{Pasa-et-al-2019,
 author = {F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
 title = {Efficient Deep Network Architectures for Fast Chest {X}-Ray Tuberculosis Screening and Visualization},
 journal = {Scientific Reports},
 year = {2019},
 volume = {9},
 number = {1},
 pages = {6268},
 issn = {2045-2322},
 doi = {10.1038/s41598-019-42557-4},
 url = {https://www.nature.com/articles/s41598-019-42557-4},
 keywords = {medical imaging, deep learning},
}
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02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

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31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

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