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1,334 results on '"P. Lurz"'

1. Teilstationäre Versorgung in universitären Kliniken für Kardiologie: Tageskliniken als dritte Versorgungsstufe

Author

Kelm, Malte, Dürschmied, Daniel, Achenbach, Stephan, Bauersachs, Johann, Blankenberg, Stefan, Böhm, Michael, Braun-Dullaeus, Rüdiger, Elsässer, Albrecht, Frank, Derk, Frantz, Stefan, Frey, Norbert, Gawaz, Meinrad, Hasenfuß, Gerd, Ince, Hüseyin, Landmesser, Ulf, Laufs, Ulrich, Leistner, David, Linke, Axel, Lurz, Philipp, Maier, Lars, Marx, Nikolaus, Massberg, Steffen, Nickenig, Georg, Raake, Philip, Rassaf, Tienush, Rottbauer, Wolfgang, Rudolph, Volker, Schieffer, Bernhard, Schulze, Christian, Schunkert, Heribert, Sedding, Daniel, Sossalla, Samuel, Templin, Christian, Thiele, Holger, Westermann, Dirk, and Baldus, Stephan

Published
2025
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6. Resonate-and-Fire Spiking Neurons for Target Detection and Hand Gesture Recognition: A Hybrid Approach

Author

Shaaban, Ahmed, Chaabouni, Zeineb, Strobel, Maximilian, Furtner, Wolfgang, Weigel, Robert, and Lurz, Fabian

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract

Hand gesture recognition using radar often relies on computationally expensive fast Fourier transforms. This paper proposes an alternative approach that bypasses fast Fourier transforms using resonate-and-fire neurons. These neurons directly detect the hand in the time-domain signal, eliminating the need for fast Fourier transforms to retrieve range information. Following detection, a simple Goertzel algorithm is employed to extract five key features, eliminating the need for a second fast Fourier transform. These features are then fed into a recurrent neural network, achieving an accuracy of 98.21% for classifying five gestures. The proposed approach demonstrates competitive performance with reduced complexity compared to traditional methods

Published
2024

7. Impact of GDMT on outcomes after mitral valve edge-to-edge repair stratified by SMR proportionality

Author

Stolz, Lukas, Kalbacher, Daniel, Koell, Benedikt, Karam, Nicole, Puscas, Tania, Metra, Marco, Adamo, Marianna, Spieker, Maximilian, Horn, Patrick, Thiele, Holger, Kister, Tobias, von Bardeleben, Ralph-Stephan, Lurz, Philipp, Kresoja, Karl-Patrik, Iliadis, Christos, Pfister, Roman, Kassar, Mohammad, Praz, Fabien, Melica, Bruno, Trenkwalder, Teresa, Xhepa, Erion, Neuss, Michael, Butter, Christian, Grayburn, Paul, and Hausleiter, Jörg

Published
2025
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10. Role of inflammatory signaling pathways involving the CD40–CD40L–TRAF cascade in diabetes and hypertension—insights from animal and human studies

Author

Strohm, Lea, Daiber, Andreas, Ubbens, Henning, Krishnankutty, Roopesh, Oelze, Matthias, Kuntic, Marin, Hahad, Omar, Klein, Veronique, Hoefer, Imo E., von Kriegsheim, Alex, Kleinert, Hartmut, Atzler, Dorothee, Lurz, Philipp, Weber, Christian, Wild, Philipp S., Münzel, Thomas, Knosalla, Christoph, Lutgens, Esther, and Daub, Steffen

Published
2024
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11. Developing Equitable Elementary Classroom Placement Routines

Author

Lurz, Kevin K. and Walsh, Nichole

Abstract

The annual assignment of elementary students from one classroom to the next is a ubiquitous cycle in schools. Since student class assignment has an effect on students' educational trajectory, understanding how placement procedures impact student equity is an important area of research with benefits for all stakeholders. In this action research project, survey data was collected to examine what student data points teachers found most meaningful as well as what elements participants considered the most effective and the least beneficial components of the previous piloted placement procedures at a central California elementary school. The findings of this research demonstrated that respondents valued intervention data, such as English Language Proficiency Assessments for California (ELPAC) levels or special education (SPED) status, English Language Arts (ELA)/Math achievement data, and behavior data. However, they also expressed hesitancy over certain narrative or subjective information. Respondents also reported that, while multi-grade level cooperation was a valuable component of the placement process, the procedures needed to be more clearly systematized. Findings suggest that by linking placement procedures to existing Multi-Tiered System of Supports (MTSS) structures, the placement process can more effectively address issues of student equity and achievement.

Published
2022

12. The Sensorium competition on predicting large-scale mouse primary visual cortex activity

Author

Willeke, Konstantin F., Fahey, Paul G., Bashiri, Mohammad, Pede, Laura, Burg, Max F., Blessing, Christoph, Cadena, Santiago A., Ding, Zhiwei, Lurz, Konstantin-Klemens, Ponder, Kayla, Muhammad, Taliah, Patel, Saumil S., Ecker, Alexander S., Tolias, Andreas S., and Sinz, Fabian H.

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

The neural underpinning of the biological visual system is challenging to study experimentally, in particular as the neuronal activity becomes increasingly nonlinear with respect to visual input. Artificial neural networks (ANNs) can serve a variety of goals for improving our understanding of this complex system, not only serving as predictive digital twins of sensory cortex for novel hypothesis generation in silico, but also incorporating bio-inspired architectural motifs to progressively bridge the gap between biological and machine vision. The mouse has recently emerged as a popular model system to study visual information processing, but no standardized large-scale benchmark to identify state-of-the-art models of the mouse visual system has been established. To fill this gap, we propose the Sensorium benchmark competition. We collected a large-scale dataset from mouse primary visual cortex containing the responses of more than 28,000 neurons across seven mice stimulated with thousands of natural images, together with simultaneous behavioral measurements that include running speed, pupil dilation, and eye movements. The benchmark challenge will rank models based on predictive performance for neuronal responses on a held-out test set, and includes two tracks for model input limited to either stimulus only (Sensorium) or stimulus plus behavior (Sensorium+). We provide a starting kit to lower the barrier for entry, including tutorials, pre-trained baseline models, and APIs with one line commands for data loading and submission. We would like to see this as a starting point for regular challenges and data releases, and as a standard tool for measuring progress in large-scale neural system identification models of the mouse visual system and beyond., Comment: NeurIPS 2022 Competition Track

Published
2022

13. Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation

Author

Stephan, Michael, Stadelmayer, Thomas, Santra, Avik, Fischer, Georg, Weigel, Robert, and Lurz, Fabian

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, 68T07
Abstract

This paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from the frequency modulated continous wave radar. We propose a parametrically constrained variational autoencoder, with residual and skip connections, capable of generating the clustered and localized target detections on the range-angle image. Furthermore, to circumvent the problem of training the proposed neural network on all possible scenarios using real radar data, we propose domain adaptation strategies whereby we first train the neural network using ray tracing based model data and then adapt the network to work on real sensor data. This strategy ensures better generalization and scalability of the proposed neural network even though it is trained with limited radar data. We demonstrate the superior detection and localization performance of our proposed solution compared to the conventional signal processing pipeline and earlier state-of-art deep U-Net architecture with range-doppler images as inputs

Published
2022
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15. Light-weight Gesture Sensing Using FMCW Radar Time Series Data

Author

Stadelmayer, Thomas, Santra, Avik, Weigel, Robert, and Lurz, Fabian

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

The paper proposes a novel feature extraction approach for FMCW radar systems in the field of short-range gesture sensing. A light-weight processing is proposed which reduces a series of 3D radar data cubes to four 1D time signals containing information about range, azimuth angle, elevation angle and magnitude. The processing is entirely performed in the time domain without using any Fourier transformation and enables the training of a deep neural network directly on the raw time domain data. It is shown experimentally on real world data, that the proposed processing retains the same expressive power as conventional radar processing to range-, Doppler- and angle-spectrograms. Further, the computational complexity is significantly reduced which makes it perfectly suitable for embedded devices. The system is able to recognize ten different gestures with an accuracy of about 95% and is running in real time on a Raspberry Pi 3 B. The delay between end of gesture and prediction is only 150 ms.

Published
2021

16. Outcome of Children with Transjugular Intrahepatic Portosystemic Shunt: A Meta-Analysis of Individual Patient Data

Author

Deniz, Sinan, Schinner, Regina, Monroe, Eric J., Horslen, Simon, Srinivasa, Ravi N., Lv, Yong, Fan, Daiming, Han, Guohong, Sarma, Moinak Sen, Srivastava, Anshu, Poddar, Ujjal, Yadav, Rajanikant, Hoang, Thi Phuong Thao, Lange, Christian M., Öcal, Osman, Ricke, Jens, Seidensticker, Max, Lurz, Eberhard, Di Giorgio, Angelo, D’Antiga, Lorenzo, and Wildgruber, Moritz

Published
2023
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26. Sachkunde Interventionelle Echokardiographie

Author

Rudolph, Volker, von Bardeleben, Ralph Stephan, Hagendorff, Andreas, Hausleiter, Jörg, Körber, Isabel, Kreidel, Felix, Lurz, Philipp, Schlegel, Philipp, Schmidt, Boris, Schmitz, Thomas, Wunderlich, Nina, and Brandt, Roland R.

Published
2022
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27. Trikuspidalklappeninsuffizienz: DGK-Positionspapier

Author

Möllmann, Helge, von Bardeleben, Ralph Stephan, Dreger, Henryk, Hausleiter, Jörg, Kempf, Tibor, Lubos, Edith, Lurz, Philipp, Nef, Holger, Nickenig, Georg, Raake, Philip, Opitz, Christian, Rudolph, Volker, Schmidt, Hendrik, Schulze, P. Christian, and Baldus, Stephan

Published
2022
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28. CARMIL2 Deficiency Presenting as Very Early Onset Inflammatory Bowel Disease.

Author

Magg, Thomas, Shcherbina, Anna, Arslan, Duran, Desai, Mukesh M, Wall, Sarah, Mitsialis, Vanessa, Conca, Raffaele, Unal, Ekrem, Karacabey, Neslihan, Mukhina, Anna, Rodina, Yulia, Taur, Prasad D, Illig, David, Marquardt, Benjamin, Hollizeck, Sebastian, Jeske, Tim, Gothe, Florian, Schober, Tilmann, Rohlfs, Meino, Koletzko, Sibylle, Lurz, Eberhard, Muise, Aleixo M, Snapper, Scott B, Hauck, Fabian, Klein, Christoph, and Kotlarz, Daniel

Subjects
Autoimmune Disease, Clinical Research, Genetics, Human Genome, Inflammatory Bowel Disease, Pediatric, Crohn's Disease, Digestive Diseases, 2.1 Biological and endogenous factors, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Aetiology, Inflammatory and immune system, Oral and gastrointestinal, Age of Onset, Child, Child, Preschool, Female, Genetic Predisposition to Disease, Humans, Inflammatory Bowel Diseases, Lymphocytes, Male, Microfilament Proteins, Mutation, Phenotype, Exome Sequencing, immunodeficiency, very early onset inflammatory bowel diseases, CARMIL2, Clinical Sciences, Gastroenterology & Hepatology
Abstract

BackgroundChildren with very early onset inflammatory bowel diseases (VEO-IBD) often have a refractory and severe disease course. A significant number of described VEO-IBD-causing monogenic disorders can be attributed to defects in immune-related genes. The diagnosis of the underlying primary immunodeficiency (PID) often has critical implications for the treatment of patients with IBD-like phenotypes.MethodsTo identify the molecular etiology in 5 patients from 3 unrelated kindred with IBD-like symptoms, we conducted whole exome sequencing. Immune workup confirmed an underlying PID.ResultsWhole exome sequencing revealed 3 novel CARMIL2 loss-of-function mutations in our patients. Immunophenotyping of peripheral blood mononuclear cells showed reduction of regulatory and effector memory T cells and impaired B cell class switching. The T cell proliferation and activation assays confirmed defective responses to CD28 costimulation, consistent with CARMIL2 deficiency.ConclusionOur study highlights that human CARMIL2 deficiency can manifest with IBD-like symptoms. This example illustrates that early diagnosis of underlying PID is crucial for the treatment and prognosis of children with VEO-IBD.

Published
2019

29. Predictors of blood pressure response to ultrasound renal denervation in the RADIANCE-HTN SOLO study

Author

Saxena, Manish, Schmieder, Roland E., Kirtane, Ajay J., Mahfoud, Felix, Daemen, Joost, Basile, Jan, Lurz, Philipp, Gosse, Philippe, Sanghvi, Kintur, Fisher, Naomi D. L., Rump, Lars C., Pathak, Atul, Blankestijn, Peter J., Mathur, Anthony, Wang, Yale, Weber, Michael A., Sharp, Andrew S. P., Bloch, Michael J., Barman, Neil C., Claude, Lisa, Song, Yang, Azizi, Michel, and Lobo, Melvin D.

Published
2022
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38. Sarcopenia Influences Clinical Outcome in Hospitalized Patients with Peripheral Artery Disease Aged 75 Years and Older

Author

Schmitt, Volker H., Hobohm, Lukas, Brochhausen, Christoph, Espinola-Klein, Christine, Lurz, Philipp, Münzel, Thomas, Hahad, Omar, and Keller, Karsten

Abstract

Sarcopenia represents a relevant comorbidity in patients with peripheral artery disease (PAD). However, only few studies exist assessing the clinical burden of sarcopenia in PAD.

Published
2025
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39. Machine Learning Based Data Validation for Signal Integrity and Power Integrity Using Supervised Time Series Classification

Author

Hassab, Youcef, Hillebrecht, Til, Lurz, Fabian, and Schuster, Christian

Abstract

A novel approach for the validation of data in signal integrity and power integrity using machine learning is proposed. This approach presents an alternative to the feature selective validation method outlined in the IEEE Standard 1597.1 for the validation of computational electromagnetics, computer modeling and simulations. The proposed approach focuses on replicating the human visual assessment by using data collected and labeled by expert engineers to train time series classification networks that predict the degree of agreement between two curves. The trained networks are then used for the systematic and automated validation of 1-D datasets. The performance and suitability of this approach for systematic data validation is evaluated and discussed. The trained network surpasses the single human subjects in predicting the expert opinion with an accuracy higher than 70%.

Published
2024
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40. NBAS Variants Are Associated with Quantitative and Qualitative NK and B Cell Deficiency

Author

Lenz, Dominic, Pahl, Jens, Hauck, Fabian, Alameer, Seham, Balasubramanian, Meena, Baric, Ivo, Boy, Nikolas, Church, Joseph A., Crushell, Ellen, Dick, Anke, Distelmaier, Felix, Gujar, Jidnyasa, Indolfi, Giuseppe, Lurz, Eberhard, Peters, Bianca, Schwerd, Tobias, Serranti, Daniele, Kölker, Stefan, Klein, Christoph, Hoffmann, Georg F., Prokisch, Holger, Greil, Johann, Cerwenka, Adelheid, Giese, Thomas, and Staufner, Christian

Published
2021
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44. Long-Term Outcomes After Edge-to-Edge Repair of Secondary Mitral Regurgitation: 5-Year Results From the EuroSMR Registry.

Author

Stocker, Thomas J., Stolz, Lukas, Karam, Nicole, Kalbacher, Daniel, Koell, Benedikt, Trenkwalder, Teresa, Xhepa, Erion, Adamo, Marianna, Spieker, Maximilian, Horn, Patrick, Butter, Christian, Weckbach, Ludwig T., Novotny, Julia, Melica, Bruno, Giannini, Christina, von Bardeleben, Ralph Stephan, Pfister, Roman, Praz, Fabien, Lurz, Philipp, and Rudolph, Volker

Abstract

Mitral valve transcatheter edge-to-edge repair (M-TEER) reduces secondary mitral regurgitation (MR) in heart failure and impacts survival in selected patients as demonstrated in the COAPT (Cardiovascular Outcomes Assessment of the MitraClip Percutaneous Therapy for Heart Failure Patients with Functional Mitral Regurgitation) trial. However, long-term outcome data after M-TEER under real-world conditions are lacking. This study sought to assess long-term efficacy and survival after M-TEER in a large real-world registry. We analyzed patients with significant secondary MR undergoing M-TEER from the EuroSMR (European Registry of Transcatheter Repair for Secondary Mitral Regurgitation) registry. Long-term MR reduction, functional outcomes, survival rate, and predictors for all-cause mortality were assessed. In this study, 1,628 patients undergoing M-TEER (mean age 73.8 years, mean EuroSCORE II [European System for Cardiac Operative Risk Evaluation II] 6.9%, 86.6% NYHA functional class ≥III) with available long-term data were included. Five-year survival was 35.0%. Long-term MR reduction (MR grade ≤2+: baseline 4.1%, discharge 92.2%, 5-year follow-up 85.5%; P < 0.001) and functional improvement (NYHA ≤II: baseline 13.4%, 5-year follow-up 60.1%; P < 0.001) was observed. The degree of residual MR was associated with 5-year survival (residual MR grade ≤1+: 38.6%; 2+: 30.5%; ≥3+: 22.6%; P < 0.001). Independent predictors for 5-year all-cause mortality post–M-TEER included age, renal function, residual MR, NYHA functional class, left ventricular ejection-fraction, and COAPT trial eligibility (P < 0.01 for all). This extensive multicenter registry underscores the long-term efficacy of M-TEER in real-world clinical practice and identifies predictors for long-term survival. These findings contribute valuable insights for optimizing patient selection in routine clinical interventions. [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2024
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45. Right Ventricular Dysfunction in Patients Undergoing High-Risk PCI with Impella.

Author

ROMMEL, KARL-PHILIPP, BONNET, GUILLAUME, BELLUMKONDA, LAVANYA, LANSKY, ALEXANDRA J., ZHAO, DUZHI, THOMPSON, JULIA B., ZHANG, YIRAN, REDFORS, BJÖRN, LURZ, PHILIPP C., GRANADA, JUAN F., BHARADWAJ, ADITYA S., BASIR, M. BABAR, O'NEILL, WILLIAM W., and BURKHOFF, DANIEL

Abstract

Right ventricular dysfunction (RVD) is an important prognostic factor in several cardiac conditions, including acute and chronic heart failure. The impact of baseline RVD on clinical outcomes of patients undergoing high-risk percutaneous coronary intervention (HRPCI) supported by Impella is unknown. Patients from the single-arm, multicenter PROTECT III study of Impella-supported HRPCI were stratified based on the presence or absence of RVD. RVD was quantitatively assessed by an echocardiography core laboratory and was defined as fractional area change < 35%, tricuspid annular plane systolic excursion < 17 mm or pulsed-wave Doppler S-wave of the lateral tricuspid annulus < 9.5 cm/s. Procedural outcomes, 90-day major adverse cardiac and cerebrovascular events (MACCE: the composite of all-cause mortality, myocardial infarction, stroke/TIA, and repeat revascularization), and 1-year mortality were assessed. Of the 239 patients who underwent RV function assessment, 124 were found to have RVD. Lower left ventricular ejection fraction, higher blood urea nitrogen levels, and more severe RV dilation were independently associated with RVD. The incidence of hypotensive episodes during PCI, the proportion of patients requiring prolonged Impella support, the completeness of revascularization, and the rate of in-hospital mortality did not differ significantly between patients with vs without RVD. However, 90-day MACCE rates were higher in those with RVD, and RVD was a robust predictor of 1-year mortality in multivariable Cox-regression analyses. In patients undergoing HRPCI with Impella, RVD was associated with more advanced biventricular failure. The use of Impella support during HRPCI facilitated effective revascularization, even in those with concomitant RVD. Nevertheless, RVD was associated with unfavorable long-term prognoses. In the PROTECT III study, among the 239 patients undergoing high-risk percutaneous coronary intervention (HRPCI) with Impella, 48% demonstrated normal right ventricular (RV) function, while 52% exhibited RV dysfunction, based on quantitative imaging. Both groups displayed a comparable extent of revascularization, as evaluated by the SYNTAX Score pre- and post-procedure, and similar in-hospital mortality rates. However, patients with RV dysfunction experienced higher rates of 90-day major adverse cardiac and cerebrovascular events (MACCE) as well as higher 1-year mortality rates. [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2024
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49. Defining clinical subgroups and genotype–phenotype correlations in NBAS-associated disease across 110 patients

Author

Staufner, Christian, Peters, Bianca, Wagner, Matias, Alameer, Seham, Barić, Ivo, Broué, Pierre, Bulut, Derya, Church, Joseph A., Crushell, Ellen, Dalgıç, Buket, Das, Anibh M., Dick, Anke, Dikow, Nicola, Dionisi-Vici, Carlo, Distelmaier, Felix, Bozbulut, Neslihan Ekşi, Feillet, François, Gonzales, Emmanuel, Hadzic, Nedim, Hauck, Fabian, Hegarty, Robert, Hempel, Maja, Herget, Theresia, Klein, Christoph, Konstantopoulou, Vassiliki, Kopajtich, Robert, Kuster, Alice, Laass, Martin W., Lainka, Elke, Larson-Nath, Catherine, Leibner, Alexander, Lurz, Eberhard, Mayr, Johannes A., McKiernan, Patrick, Mention, Karine, Moog, Ute, Mungan, Neslihan Onenli, Riedhammer, Korbinian M., Santer, René, Palafoll, Irene Valenzuela, Vockley, Jerry, Westphal, Dominik S., Wiedemann, Arnaud, Wortmann, Saskia B., Diwan, Gaurav D., Russell, Robert B., Prokisch, Holger, Garbade, Sven F., Kölker, Stefan, Hoffmann, Georg F., and Lenz, Dominic

Published
2020
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