Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Anton Böhm"'
Autor:
Thomas Brox, Ahmed Abdulkadir, Anton Böhm, Jan Deubner, Zoe Jäckel, Olaf Tietz, Robert Bensch, Yassine Marrakchi, Olaf Ronneberger, Sean Walsh, Katharina Seiwald, Marco Prinz, Ilka Diester, Cristina Dal Bosco, Matias Simons, Özgün Çiçek, Thorsten Falk, Alexander Dovzhenko, Deniz Saltukoglu, Dominic Mai, Tuan Leng Tay, Klaus Palme
Publikováno v:
Nature Methods. 16:67-70
U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def821b0184c6c4ea2bc697ce59dcc94
https://doi.org/10.1038/s41592-018-0261-2
https://doi.org/10.1038/s41592-018-0261-2
Publikováno v:
ISBI
Deep learning has enabled automated segmentation in a large variety of cases. Instance segmentation of touching and overlapping objects remains an open challenge. We present an end-to-end approach that focuses object detections and features to local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35f36434f1c6034f2fe23a7310d19f09
https://doi.org/10.1109/isbi45749.2020.9098435
https://doi.org/10.1109/isbi45749.2020.9098435
Publikováno v:
ISBI
We present $\mathrm { ISOO } _ { \mathrm { DL } } ^ { \mathrm { V } 2 } -$ a method for semantic instance segmentation of touching and overlapping objects. We introduce a series of design modifications to the prior framework, including a novel mixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f9d9f638d082d558ec2de599772015a
https://doi.org/10.1109/isbi.2019.8759334
https://doi.org/10.1109/isbi.2019.8759334
Autor:
Thorsten, Falk, Dominic, Mai, Robert, Bensch, Özgün, Çiçek, Ahmed, Abdulkadir, Yassine, Marrakchi, Anton, Böhm, Jan, Deubner, Zoe, Jäckel, Katharina, Seiwald, Alexander, Dovzhenko, Olaf, Tietz, Cristina, Dal Bosco, Sean, Walsh, Deniz, Saltukoglu, Tuan Leng, Tay, Marco, Prinz, Klaus, Palme, Matias, Simons, Ilka, Diester, Thomas, Brox, Olaf, Ronneberger
U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1787a7533de51803f45dd16a22f77719
Publikováno v:
ISBI
Image segmentation is an important first step for the quantitative analysis of biomedical images. We present a method to simultaneously segment and classify translucent overlapping objects in 2D images. For this we propose an approach using a fully-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac22722984114523ebcbb693b87ba0a9
https://doi.org/10.1109/isbi.2018.8363792
https://doi.org/10.1109/isbi.2018.8363792
Autor:
Åsa Torinsson Naluai, Malin Östensson, Philippa C. Fowler, Sanna Abrahamsson, Björn Andersson, Stina Lassesson, Frida Jacobsson, Martin Oscarsson, Anton Bohman, Ali M. Harandi, Mats Bende
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Chronic rhinosinusitis with nasal polyps (CRSwNP) is a common upper respiratory tract complication where the pathogenesis is largely unknown. Herein, we investigated the transcriptome profile in nasal mucosa biopsies of CRSwNP patients and h
Externí odkaz:
https://doaj.org/article/9c875141adbd45a5b4d6d1626fb74b41
Autor:
Alexander Dovzhenko, Thomas Brox, Jan Deubner, Özgün Çiçek, Tuan Leng Tay, Marco Prinz, Ahmed Abdulkadir, Thorsten Falk, Zoe Jäckel, Yassine Marrakchi, Anton Böhm, Dominic Mai, Ilka Diester, Deniz Saltukoglu, Matias Simons, Robert Bensch, Katharina Seiwald, Klaus Palme, Cristina Dal Bosco, Olaf Tietz, Olaf Ronneberger, Sean Walsh
Publikováno v:
Nature Methods. 16:351-351
In the version of this paper originally published, one of the affiliations for Dominic Mai was incorrect: "Center for Biological Systems Analysis (ZBSA), Albert-Ludwigs-University, Freiburg, Germany" should have been "Life Imaging Center, Center for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d024761269f1e3a8c2feaeef6ff27696
https://doi.org/10.1038/s41592-019-0356-4
https://doi.org/10.1038/s41592-019-0356-4
Autor:
Bassem Ben Cheikh, Martin Urschler, Urko Sanchez, Daniel Racoceanu, Anton Böhm, Pheng-Ann Heng, Yun Bo Guo, Hao Chen, Josien P. W. Pluim, Olaf Ronneberger, Michael Pfeiffer, Xiaojuan Qi, Li Yang Wang, Elia Bruni, David Snead, Bogdan J. Matuszewski, Nasir M. Rajpoot, Philipp Kainz, Korsuk Sirinukunwattana
Publikováno v:
Medical Image Analysis, 35, 489-502. Elsevier
Colorectal adenocarcinoma originating in intestinal glandular structures is the most common form of colon cancer. In clinical practice, the morphology of intestinal glands, including architectural appearance and glandular formation, is used by pathol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b283294527cd69effd279f9df7bceb
https://research.tue.nl/nl/publications/273e63c6-8226-4239-80f8-d77e1d54a288
https://research.tue.nl/nl/publications/273e63c6-8226-4239-80f8-d77e1d54a288
Autor:
Anton Böhm
Publikováno v:
Osterreichische Botanische Zeitschrift. 84:271-281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca5064a46004759e26ccb04cde0053e
https://doi.org/10.1007/bf01256722
https://doi.org/10.1007/bf01256722
Autor:
Carola Lampe, Bert Nickel, Theobald Lohmüller, Janina Roemer, Maximilian Löw, Verena A. Hintermayr, Willem Vanderlinden, Cornelia Sattler, Anton Böhm, Alexander S. Urban, Moritz Gramlich
Publikováno v:
Nano Letters
Halide perovskite nanocrystals (NCs) have shown impressive advances, exhibiting optical properties that outpace conventional semiconductor NCs, such as near-unity quantum yields and ultrafast radiative decay rates. Nevertheless, the NCs suffer even m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d26e1fcb312bd2d1b432c0729f85299