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Torsten Haferlach
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2020 – today
- 2022
- [c8]Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr:
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells. Bildverarbeitung für die Medizin 2022: 159 - 2021
- [j5]Nanditha Mallesh
, Max Xiaohang Zhao
, Lisa Meintker, Alexander Höllein
, Franz Elsner
, Hannes Lüling, Torsten Haferlach, Wolfgang Kern
, Jörg Westermann, Peter Brossart, Stefan W. Krause, Peter M. Krawitz
:
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. Patterns 2(10): 100351 (2021)
2010 – 2019
- 2019
- [j4]Laxmi Parida
, Claudia Haferlach, Kahn Rhrissorrakrai
, Filippo Utro
, Chaya Levovitz, Wolfgang Kern
, Niroshan Nadarajah
, Sven Twardziok
, Stephan Hutter
, Manja Meggendorfer, Wencke Walter, Constance Baer, Torsten Haferlach:
Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. PLoS Comput. Biol. 15(8) (2019) - 2016
- [c7]Sebastian Krappe, Richard Leisering, Torsten Haferlach, Thomas Wittenberg
, Christian Münzenmayer:
Automatic Detection of Relevant Regions for the Morphological Analysis of Bone Marrow Slides. Bildverarbeitung für die Medizin 2016: 272-276 - [c6]Sebastian Krappe, Thomas Wittenberg
, Torsten Haferlach, Christian Münzenmayer:
Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis. Medical Imaging: Computer-Aided Diagnosis 2016: 97853C - 2015
- [c5]Sebastian Krappe, Christian Münzenmayer, Amrei Evert, Can Fahrettin Koyuncu, A. Enis Çetin, Torsten Haferlach, Thomas Wittenberg
, Christian Held:
Dynamic Programming for the Segmentation of Bone Marrow Cells. Bildverarbeitung für die Medizin 2015: 359-364 - [c4]Sebastian Krappe, Michaela Benz
, Thomas Wittenberg
, Torsten Haferlach, Christian Münzenmayer:
Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality. Medical Imaging: Computer-Aided Diagnosis 2015: 94143I - 2014
- [c3]Sebastian Krappe, Katja Macijewski, Elisabeth Eismann, Tobias Ziegler, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer:
Lokalisierung von Knochenmarkzellen für die automatisierte morphologische Analyse von Knochenmarkpräparaten. Bildverarbeitung für die Medizin 2014: 403-408 - 2011
- [j3]Hans-Ulrich Klein
, Christoph Bartenhagen, Alexander Kohlmann, Vera Grossmann, Christian Ruckert, Torsten Haferlach, Martin Dugas:
R453Plus1Toolbox: an R/Bioconductor package for analyzing Roche 454 Sequencing data. Bioinform. 27(8): 1162-1163 (2011)
2000 – 2009
- 2009
- [j2]Hans-Ulrich Klein
, Christian Ruckert, Alexander Kohlmann, Lars Bullinger
, Christian Thiede
, Torsten Haferlach, Martin Dugas:
Quantitative comparison of microarray experiments with published leukemia related gene expression signatures. BMC Bioinform. 10: 422 (2009) - 2003
- [c2]Martin Dugas, Sylvia Merk, S. Breit, Claudia Schoch, Torsten Haferlach, Stefan Kääb:
Bioinformatics for Medical Diagnostics: Assessment of Microarray Data in the Context of Clinical Databases. AMIA 2003 - 2002
- [j1]Martin Dugas, Claudia Schoch, Susanne Schnittger, Alexander Kohlmann, Wolfgang Kern, Torsten Haferlach, Karl Überla:
Integration of clinical and genetic information - from patient data to gene expression analysis. Silico Biol. 2(3): 383-391 (2002) - 2001
- [c1]Martin Dugas, Claudia Schoch, Susanne Schnittger, Wolfgang Kern, Torsten Haferlach, Dorle Messerer, Karl Überla:
Impact of integrating clinical and genetic information. German Conference on Bioinformatics 2001: 85-88
Coauthor Index
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last updated on 2024-05-08 21:02 CEST by the dblp team
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