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Emil Wirsz
Researcher at Siemens
Publications - 11
Citations - 577
Emil Wirsz is an academic researcher from Siemens. The author has contributed to research in topics: Picture archiving and communication system & Systems modeling. The author has an hindex of 5, co-authored 11 publications receiving 479 citations. Previous affiliations of Emil Wirsz include Princeton University.
Papers
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Journal ArticleDOI
Atlas of the clinical genetics of human dilated cardiomyopathy
Jan Haas,Karen S. Frese,Barbara Peil,Wanda Kloos,Andreas Keller,Rouven Nietsch,Zhu Feng,Sabine Müller,Elham Kayvanpour,Britta Vogel,Farbod Sedaghat-Hamedani,Wei Keat Lim,Xiaohong Zhao,Dmitriy Fradkin,Doreen Köhler,Simon Fischer,Jennifer Franke,Sabine Marquart,Ioana Barb,Daniel Tian Li,Ali Amr,Philipp Ehlermann,Derliz Mereles,Tanja Weis,Sarah Hassel,Andreas Kremer,Vanessa King,Emil Wirsz,Emil Wirsz,Richard Isnard,Michel Komajda,Alessandra Serio,Maurizia Grasso,Petros Syrris,Eleanor Wicks,Vincent Plagnol,Luis R. Lopes,Tenna Gadgaard,Hans Eiskjær,Mads E. Jørgensen,Diego García-Giustiniani,Martin Ortiz-Genga,María G. Crespo-Leiro,Rondal H Lekanne Dit Deprez,Imke Christiaans,Ingrid A.W. van Rijsingen,Arthur A.M. Wilde,Anders Waldenström,Martino Bolognesi,Riccardo Bellazzi,Stellan Mörner,Justo Lorenzo Bermejo,Lorenzo Monserrat,Eric Villard,Jens Mogensen,Yigal M. Pinto,Philippe Charron,Perry M. Elliott,Eloisa Arbustini,Hugo A. Katus,Benjamin Meder +60 more
TL;DR: This is to the authors' knowledge, the first study that comprehensively investigated the genetics of DCM in a large-scale cohort and across a broad gene panel of the known DCM genes and underline the high analytical quality and feasibility of Next-Generation Sequencing in clinical genetic diagnostics.
Journal ArticleDOI
Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart
Elham Kayvanpour,Tommaso Mansi,Farbod Sedaghat-Hamedani,Ali Amr,Dominik Neumann,Bogdan Georgescu,Philipp Seegerer,Ali Kamen,Jan Haas,Karen S. Frese,Maria Irawati,Emil Wirsz,Vanessa King,Sebastian J. Buss,Derliz Mereles,Edgar Zitron,Andreas Keller,Hugo A. Katus,Dorin Comaniciu,Benjamin Meder +19 more
TL;DR: It becomes conceivable that, after thorough validation, such heart failure models could be applied for patient management and therapy planning in the future, as it becomes conceivable in one patient of this cohort who received CRT-D implantation.
Journal ArticleDOI
Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy
Jan Haas,Stefan Mester,Alan Lai,Karen S. Frese,Farbod Sedaghat-Hamedani,Elham Kayvanpour,Tobias Rausch,Rouven Nietsch,Jes-Niels Boeckel,Avisha Carstensen,Mirko Völkers,Carsten Dietrich,Dietmar Pils,Dietmar Pils,Ali Amr,Daniel B. Holzer,Diana Martins Bordalo,Daniel Oehler,Tanja Weis,Derliz Mereles,Sebastian J. Buss,Eva Riechert,Emil Wirsz,Maximilian Wuerstle,Jan O. Korbel,Andreas Keller,Hugo A. Katus,Andreas E. Posch,Benjamin Meder +28 more
TL;DR: Genomic variability associated with SVs in heart failure due to DCM is described and their impact on the transcriptome is dissected, underlining the importance to study human myocardial gene expression in the context of the individual genome.
Proceedings ArticleDOI
Modeling and simulation of a high-performance PACS based on a shared file system architecture
TL;DR: The proposed system for the Madigan Army Medical Center was modeled in detail, as part of the Medical Diagnostic Imaging Support System (MDIS) proposal, and issues addressed with the models, the modeling techniques used and the performance results from the simulations are described.
Patent
System and methods for integrated and predictive analysis of molecular, imaging, and clinical data for patient-specific management of diseases
Tommaso Mansi,Wei Keat Lim,Vanessa King,Andreas Kremer,Bogdan Georgescu,Xudong Zheng,Ali Kamen,Andreas Keller,Cord F Staehler,Emil Wirsz,Dorin Comaniciu +10 more
TL;DR: In this paper, a system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component.