Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Markus Diem"'
Autor:
Vincent Christlein, Markus Diem, Florian Kleber, Günter Mühlberger, Verena Schwägerl-Melchior, Esther van Gelder, Andreas Maier
Publikováno v:
Zeitschrift für digitale Geisteswissenschaften, Iss 02 (2016)
In recent years, Automatic Writer Identification (AWI) has received a lot of attention in the document analysis community. However, most research has been conducted on contemporary benchmark sets. These datasets typically do not contain any noise
Externí odkaz:
https://doaj.org/article/dfb6157a7e8f46d5ac9977df6d48f543
Autor:
Barbara Katharina Geist, Juan Carlos Ramirez, Patrick Binder, Holger Einspieler, Harald Ibeschitz, Werner Langsteger, Lukas Nics, Ivo Rausch, Markus Diemling, Antti Sohlberg, Marcus Hacker, Sazan Rasul
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Background Approaches targeting the sodium-glucose cotransporter (SGLT) could represent a promising future therapeutic strategy for numerous oncological and metabolic diseases. In this study, we evaluated the safety, biodistribution and radi
Externí odkaz:
https://doaj.org/article/c795a528b11d489dbc0b1433b33a5c97
Publikováno v:
ICPR
We present an approach to detecting small cell populations in flow cytometry (FCM) samples based on the combination of unsupervised manifold embedding and supervised random forest classification. Each sample consists of hundred thousands to a million
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e14ab08f95b09cf05a0d33f421640c2
https://doi.org/10.1109/icpr48806.2021.9413180
https://doi.org/10.1109/icpr48806.2021.9413180
Autor:
Michael Reiter, Michael Dworzak, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz
Publikováno v:
Pattern Recognition. 60:1029-1040
We propose a supervised learning approach to automatic quantification of cell populations in flow cytometric samples. One sample contains up to millions of measurement vectors with a dimensionality between 10 and 20. Normally, each measurement vector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6b545f80949e281feeeae4b852a437d
https://doi.org/10.1016/j.patcog.2016.04.004
https://doi.org/10.1016/j.patcog.2016.04.004
Autor:
Philip Schofield, Joan Puigcerver Pérez, Markus Diem, Lauri Hirvonen, Tobias Hodel, Enrique Vidal, Hervé Déjean, Basilis Gatos, Tamara Terbul, Vicente Bosch, Konstantinos Zagoris, Mario Kallio, Florian Kleber, M. Bryan, Louise Seaward, Eva Lang, Alejandro Héctor Toselli, Vili Haukkovaara, Nathanael Philipp, Georgios Louloudis, Sören Laube, Sebastian Colutto, Tobias Strauß, Guenter Muehlberger, Christian Sieber, Johannes Michael, Matti Jokinen, Stefan Fiel, Albert Greinoecker, Hannelore Putz, George Retsinas, Herbert Wurster, Mauricio Villegas, Rory McNicholl, Nikolaos Stamatopoulos, Gundram Leifert, Frédéric Kaplan, Roger Labahn, Tobias Grüning, Gerhard Heyer, Joan Andreu Sánchez, Giorgos Sfikas, Elena Mühlbauer, Ioannis Pratikakis, Verónica Romero, Jean-Luc Meunier, Max Weidemann, Berthold Ulreich, Philip Kahle, Sofia Ares Oliveira, Guenter Hackl, Robert Sablatnig, Johanna Walcher, Melissa Terras
Publikováno v:
Muehlberger, Guenter; Seaward, Louise; Terras, Melissa; Ares Oliveira, Sofia; Bosch, Vicente; Bryan, Maximilian; Colutto, Sebastian; Déjean, Hervé; Diem, Markus; Fiel, Stefan; Gatos, Basilis; Greinoecker, Albert; Grüning, Tobias; Hackl, Guenter; Haukkovaara, Vili; Heyer, Gerhard; Hirvonen, Lauri; Hodel, Tobias; Jokinen, Matti; Kahle, Philip; ... (2019). Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study. Journal of documentation, 75(5), pp. 954-976. Emerald 10.1108/jd-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114
Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12dc00900b7e878be4e4cb9861629300
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf
Publikováno v:
ICDAR
Baseline detection is a simplified text-line extraction that typically serves as pre-processing for Automated Text Recognition. The cBAD competition benchmarks state-of-the-art baseline detection algorithms. It is the successor of cBAD 2017 with a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d727894fe9eb00181c802c83255114e6
https://doi.org/10.1109/icdar.2019.00240
https://doi.org/10.1109/icdar.2019.00240
Publikováno v:
Computer Aided Intervention and Diagnostics in Clinical and Medical Images ISBN: 9783030040604
For acute lymphoblastic leukemia treatment monitoring, the ratio of cancerous blood cells, called Minimal Residual Disease (MRD), is in practice assessed manually by experts. Using flow cytometry, single cells are classified as cancerous or healthy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2d7f89b6d0f43438f4ea5ba989af81d
https://doi.org/10.1007/978-3-030-04061-1_19
https://doi.org/10.1007/978-3-030-04061-1_19
Publikováno v:
ICFHR
In this paper we present a template-based table structure matching using association graphs for handwritten/printed historical documents. The recognition of the table structure consisting of column and header information is the prerequisite for the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9eae0854d5c9d21084cd4bbd0de5e1c
https://doi.org/10.1109/icfhr-2018.2018.00046
https://doi.org/10.1109/icfhr-2018.2018.00046
Autor:
Angela Schumich, Thomas Schlegl, Roxane Licandro, Martin Kampel, Georg Langs, Markus Diem, Michael Reiter, Michael Dworzak
Publikováno v:
ICPR
Acute Myeloid Leukaemia (AML) is a rare type of childhood acute leukaemia. During treatment, the assessment of the number of cancer cells is particularly important to determine treatment response and consequently adapt the treatment scheme if necessa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c12ae172bc268b50a95f95bed352ce9a
https://doi.org/10.1109/icpr.2018.8546177
https://doi.org/10.1109/icpr.2018.8546177