Publications

2023

• Zaunseder E, Mütze U, Garbade SF, Haupt S, Kölker S, Heuveline V (2023). Deep Learning and Explainable Artificial Intelligence for Improving Specificity and Detecting Metabolic Patterns in Newborn Screening, 2023 IEEE Symposium Series on Computational Intelligence (SSCI),pp.1566-1571,IEEE 1799
• Machmeier S, Hoecker M, Heuveline V (2023). Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning, 2023 IEEE Symposium Series on Computational Intelligence (SSCI),pp.850-855,IEEE 1805
• Møller P, Seppälä TT, Ahadova A, Crosbie EJ, Holinski-Feder E, Scott R, Haupt S, Möslein G, Winship I, Broeke SWB, Kohut KE, Ryan N, Bauerfeind P, Thomas LE, Evans DG, Aretz S, Sijmons RH, Half E, Heinimann K, Horisberger K, Monahan K, Engel C, Cavestro GM, Fruscio R, Abu-Freha N, Zohar L, Laghi L, Bertario L, Bonanni B, Tibiletti MG, Lino-Silva LS, Vaccaro C, Valle AD, Rossi BM, Silva LAd, Nascimento ILdO, Rossi NT, Dębniak T, Mecklin J, Bernstein I, Lindblom A, Sunde L, Nakken S, Heuveline V, Burn J, Hovig E, Kloor M, Sampson JR, Dominguez-Valentin M (2023). Dominantly inherited micro-satellite instable cancer – the four Lynch syndromes – an EHTG, PLSD position statement, Hered Cancer Clin Pract 21(1),19 1802
• Zaunseder E, Mütze U, Okun JG, Hoffmann GF, Kölker S, Heuveline V, Thiele I (2023). Personalised metabolic whole-body models for newborns and infants predict growth and biomarkers of inherited metabolic diseases, biorxiv;2023.10.20.563364v1,[Preprint] 1800
• Machmeier S, Trageser M, Buchwald M, Heuveline V (2023). A Generalizable Approach for Network Flow Image Representation for Deep Learning, 2023 7th Cyber Security in Networking Conference (CSNet),pp.57-61,IEEE 1804
• Gerstner P, Heuveline V (2023). Finite element approximation of dielectrophoretic force driven flow problems, ESAIM: M2AN 57(3):1691-1729 1806
• Aguila AL, Jayme A, Montaña-Brown N, Heuveline V, Altmann A (2023). Multi-view-AE: A Python package for multi-view autoencoder models, JOSS 8(85):5093 1809
• Meyer J, Alpay A, Hack S, Fröning H, Heuveline V (2023). Implementation Techniques for SPMD Kernels on CPUs, International Workshop on OpenCL,pp.1-12,ACM 1803
• Alpay A, Heuveline V (2023). One Pass to Bind Them: The First Single-Pass SYCL Compiler with Unified Code Representation Across Backends, International Workshop on OpenCL,pp.1-12,ACM 1808
• Erozan A, Lösel P, Heuveline V, Weinhardt V (2023). ACSEG: AUTOMATED 3D CYTOPLASM SEGMENTATION IN SOFT X-RAY TOMOGRAPHY 1807
• Ahadova A, Stenzinger A, Seppälä T, Hüneburg R, Kloor M, Bläker H, Wittemann J, Endris V, Gerling L, Bertram V, Neumuth MT, Witt J, Graf S, Kristiansen G, Hommerding O, Haupt S, Zeilmann A, Heuveline V, Kazdal D, Gebert J, Doeberitz MvK, Mecklin J, Nattermann J (2023). A “two-in-one hit” model of shortcut carcinogenesis in MLH1 Lynch syndrome carriers, Gastroenterology 1639
• Schröder M, Machmeier S, Heuveline V (2023). VTABLE HIJACKING: OBJECT TYPE INTEGRITY FOR RUN- TIME TYPE INFORMATION 1801
• Dominguez-Valentin M, Haupt S, Seppälä TT, Sampson JR, Sunde L, Bernstein I, Jenkins MA, Engel C, Aretz S, Nielsen M, Capella G, Balaguer F, Evans DG, Burn J, Holinski-Feder E, Bertario L, Bonanni B, Lindblom A, Levi Z, Macrae F, Winship I, Plazzer J, Sijmons R, Laghi L, Valle AD, Heinimann K, Dębniak T, Fruscio R, Lopez-Koestner F, Alvarez-Valenzuela K, Katz LH, Laish I, Vainer E, Vaccaro C, Carraro DM, Monahan K, Half E, Stakelum A, Winter D, Kennelly R, Gluck N, Sheth H, Abu-Freha N, Greenblatt M, Rossi BM, Bohorquez M, Cavestro GM, Lino-Silva LS, Horisberger K, Tibiletti MG, Nascimento Id, Thomas H, Rossi NT, Silva LAd, Zaránd A, Ruiz-Bañobre J, Heuveline V, Mecklin J, Pylvänäinen K, Renkonen-Sinisalo L, Lepistö A, Peltomäki P, Therkildsen C, Madsen MG, Burgdorf SK, Hopper JL, Win AK, Haile RW, Lindor N, Gallinger S, Marchand LL, Newcomb PA, Figueiredo J, Buchanan DD, Thibodeau SN, Doeberitz MvK, Loeffler M, Rahner N, Schröck E, Steinke-Lange V, Schmiegel W, Vangala D, Perne C, Hüneburg R, Redler S, Büttner R, Weitz J, Pineda M, Duenas N, Vidal JB, Moreira L, Sánchez A, Hovig E, Nakken S, Green K, Lalloo F, Hill J, Crosbie E, Mints M, Goldberg Y, Tjandra D, Broeke SWt, Kariv R, Rosner G, Advani SH, Thomas L, Shah P, Shah M, Neffa F, Esperon P, Pavicic W, Torrezan GT, Bassaneze T, Martin CA, Moslein G, Moller P (2023). Mortality by age, gene and gender in carriers of pathogenic mismatch repair gene variants receiving surveillance for early cancer diagnosis and treatment: a report from the prospective Lynch syndrome database, eClinicalMedicine:101909 1644
• Zaunseder E, Mütze U, Garbade SF, Haupt S, Feyh P, Hoffmann GF, Heuveline V, Kölker S (2023). Machine Learning Methods Improve Specificity in Newborn Screening for Isovaleric Aciduria, Metabolites 13(2):304 1631
• Schröter J, Dattner T, Hüllein J, Jayme A, Heuveline V, Hoffmann GF, Kölker S, Lenz D, Opladen T, Popp B, Schaaf CP, Staufner C, Syrbe S, Uhrig S, Hübschmann D, Brennenstuhl H (2023). aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment, Computational and Structural Biotechnology Journal 21:1077-1083 1613
• Zharov Y, Ametova E, Spiecker R, Baumbach T, Burca G, Heuveline V (2023). Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning, Opt. Express 31(16):26226 1798

2022

• Sirazitdinov A, Buchwald M, Hesser J, Heuveline V (2022). Review of Deep Learning Methods for Individual Treatment Effect Estimation with Automatic Hyperparameter Optimization, [Preprint] 1615
• Møller P, Seppälä T, Dowty JG, Haupt S, Dominguez-Valentin M, Sunde L, Bernstein I, Engel C, Aretz S, Nielsen M, Capella G, Evans DG, Burn J, Holinski-Feder E, Bertario L, Bonanni B, Lindblom A, Levi Z, Macrae F, Winship I, Plazzer J, Sijmons R, Laghi L, Valle AD, Heinimann K, Half E, Lopez-Koestner F, Alvarez-Valenzuela K, Scott RJ, Katz L, Laish I, Vainer E, Vaccaro CA, Carraro DM, Gluck N, Abu-Freha N, Stakelum A, Kennelly R, Winter D, Rossi BM, Greenblatt M, Bohorquez M, Sheth H, Tibiletti MG, Lino-Silva LS, Horisberger K, Portenkirchner C, Nascimento I, Rossi NT, Silva LAd, Thomas H, Zaránd A, Mecklin J, Pylvänäinen K, Renkonen-Sinisalo L, Lepisto A, Peltomäki P, Therkildsen C, Lindberg LJ, Thorlacius-Ussing O, Doeberitz MvK, Loeffler M, Rahner N, Steinke-Lange V, Schmiegel W, Vangala D, Perne C, Hüneburg R, Vargas AFd, Latchford A, Gerdes A, Backman A, Guillén-Ponce C, Snyder C, Lautrup CK, Amor D, Palmero E, Stoffel E, Duijkers F, Hall MJ, Hampel H, Williams H, Okkels H, Lubiński J, Reece J, Ngeow J, Guillem JG, Arnold J, Wadt K, Monahan K, Senter L, Rasmussen LJ, Hest LPv, Ricciardiello L, Kohonen-Corish MRJ, Ligtenberg MJL, Southey M, Aronson M, Zahary MN, Samadder NJ, Poplawski N, Hoogerbrugge N, Morrison PJ, James P, Lee G, Chen-Shtoyerman R, Ankathil R, Pai R, Ward R, Parry S, Dębniak T, John T, Hansen TvO, Caldés T, Yamaguchi T, Barca-Tierno V, Garre P, Cavestro GM, Weitz J, Redler S, Büttner R, Heuveline V, Hopper JL, Win AK, Lindor N, Gallinger S, Marchand LL, Newcomb PA, Figueiredo J, Buchanan DD, Thibodeau SN, Broeke SWt, Hovig E, Nakken S, Pineda M, Dueñas N, Brunet J, Green K, Lalloo F, Newton K, Crosbie EJ, Mints M, Tjandra D, Neffa F, Esperon P, Kariv R, Rosner G, Pavicic WH, Kalfayan P, Torrezan GT, Bassaneze T, Martin C, Moslein G, Ahadova A, Kloor M, Sampson JR, Jenkins MA (2022). Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium, Hered Cancer Clin Pract 20(1),36 1616
• Witt J, Haupt S, Ahadova A, Bohaumilitzky L, Fuchs V, Ballhausen A, Przybilla MJ, Jendrusch M, Seppälä TT, Fürst D, Walle T, Busch E, Haag GM, Hüneburg R, Nattermann J, Doeberitz MvK, Heuveline V, Kloor M (2022). A simple approach for detecting HLA‐A *02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting, HLA,101(1):24-33 1632
• Lösel PD, Monchanin C, Lebrun R, Jayme A, Relle J, Devaud J, Heuveline V, Lihoreau M (2022). Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning, biorxiv;2022.10.12.511944v3,[Preprint] 1617
• Ahadova A, Witt J, Haupt S, Gallon R, Hüneburg R, Nattermann J, Broeke St, Bohaumilitzky L, Hernandez‐Sanchez A, Santibanez‐Koref M, Jackson MS, Ahtiainen M, Pylvänäinen K, Andini K, Grolmusz VK, Möslein G, Dominguez‐Valentin M, Møller P, Fürst D, Sijmons R, Borthwick GM, Burn J, Mecklin J, Heuveline V, Doeberitz MvK, Seppälä T, Kloor M (2022). Is HLA type a possible cancer risk modifier in Lynch syndrome?, Intl Journal of Cancer,ijc.34312 1619
• Zaunseder E, Haupt S, Mütze U, Garbade SF, Kölker S, Heuveline V (2022). Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review, JIMD Reports 63(3):250-261 1620

2021

• Nessel R, Löffler T, Rinn J, Lösel P, Voss S, Heuveline V, Vollmer M, Görich J, Ludwig Y, Al-Hileh L, Kallinowski F (2021). Primary and Recurrent Repair of Incisional Hernia Based on Biomechanical Considerations to Avoid Mesh-Related Complications, Front. Surg. 8,764470 1467
• Kallinowski F, Ludwig Y, Gutjahr D, Gerhard C, Schulte-Hörmann H, Krimmel L, Lesch C, Uhr K, Lösel P, Voß S, Heuveline V, Vollmer M, Görich J, Nessel R (2021). Biomechanical Influences on Mesh-Related Complications in Incisional Hernia Repair, Front. Surg. 8,763957 1468
• Haupt S, Gleim N, Ahadova A, Bläker H, Doeberitz MvK, Kloor M, Heuveline V (2021). A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis 1317
• Song C, Roller J, Ponce-Bobadilla AV, Palacio-Escat N, Saez-Rodriguez J, Heuveline V (2021). Spatial Effect on Separatrix of Two-Cell System and Parameter Sensitivity Analysis 1315
• Jayme A, Lösel P, Heuveline V (2021). Comparison of Machine Learning Methods for Predicting Employee Absences 1314
• Haupt S, Zeilmann A, Ahadova A, Bläker H, Doeberitz MvK, Kloor M, Heuveline V (2021). Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure 1316
• Kallinowski F, Ludwig Y, Löffler T, Vollmer M, Lösel P, Voß S, Görich J, Heuveline V, Nessel R (2021). Biomechanics applied to incisional hernia repair – Considering the critical and the gained resistance towards impacts related to pressure, Clinical Biomechanics 82:105253 1201
• Braun L, Nikas S, Song C, Heuveline V, Fröning H (2021). A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels, ACM Trans. Archit. Code Optim. 18(1):1-25 1203
• Schween N, Gerstner P, Meyer-Hübner N, Heuveline V (2021). New Time Step Strategy for Multi-period Optimal Power Flow Problems, Mathematical Modeling, Simulation and Optimization for Power Engineering and Management 34:199-217,Springer International Publishing 1198

2020

• Haupt S, Gleim N, Ahadova A, Bläker H, Doeberitz MvK, Kloor M, Heuveline V (2020). Computational model investigates the evolution of colonic crypts during Lynch syndrome carcinogenesis, biorxiv;2020.12.29.424555v1,[Preprint] 1199
• Ballhausen A, Przybilla MJ, Jendrusch M, Haupt S, Pfaffendorf E, Seidler F, Witt J, Sanchez AH, Urban K, Draxlbauer M, Krausert S, Ahadova A, Kalteis MS, Pfuderer PL, Heid D, Stichel D, Gebert J, Bonsack M, Schott S, Bläker H, Seppälä T, Mecklin J, Broeke ST, Nielsen M, Heuveline V, Krzykalla J, Benner A, Riemer AB, Doeberitz MvK, Kloor M (2020). The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution, Nat Commun 11(1),4740 1192
• Lösel PD, Kamp Tvd, Jayme A, Ershov A, Faragó T, Pichler O, Jerome NT, Aadepu N, Bremer S, Chilingaryan SA, Heethoff M, Kopmann A, Odar J, Schmelzle S, Zuber M, Wittbrodt J, Baumbach T, Heuveline V (2020). Introducing Biomedisa as an open-source online platform for biomedical image segmentation, Nat Commun 11(1),5577 1200
• Bläker H, Haupt S, Morak M, Holinski‐Feder E, Arnold A, Horst D, Sieber‐Frank J, Seidler F, Winterfeld M, Alwers E, Chang‐Claude J, Brenner H, Roth W, Engel C, Löffler M, Möslein G, Schackert H, Weitz J, Perne C, Aretz S, Hüneburg R, Schmiegel W, Vangala D, Rahner N, Steinke‐Lange V, Heuveline V, Doeberitz MvK, Ahadova A, Hoffmeister M, Kloor M (2020). Age‐dependent performance of BRAF mutation testing in Lynch syndrome diagnostics, Int. J. Cancer 147(10):2801-2810 1193
• Zhu J, Song C, Heuveline V, Li B, Li B, Han Z, Liu X (2020). Characterization Simulation of a Bulk MOSFET in Steady-State with SIPG Method, 2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT),pp.1-3,IEEE 1202
• Brenna C, Khan AuM, Picascia T, Sun Q, Heuveline V, Gretz N (2020). New technical approaches for 3D morphological imaging and quantification of measurements, Anat Rec 303(10):2702-2715 1194
• Lal S, Alpay A, Salzmann P, Cosenza B, Hirsch A, Stawinoga N, Thoman P, Fahringer T, Heuveline V (2020). SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing, Euro-Par 2020: Parallel Processing 12247:629-644,Springer International Publishing 1196

2019

• Bläker H, Haupt S, Morak M, Holinski-Feder E, Arnold A, Horst D, Sieber-Frank J, Seidler F, Winterfeld Mv, Alwers E, Chang-Claude J, Brenner H, Roth W, Engel C, Löffler M, Möslein G, Schackert H, Weitz J, Perne C, Aretz S, Hüneburg R, Schmiegel W, Vangala D, Rahner N, Steinke-Lange V, Heuveline V, Doeberitz MvK, Ahadova A, Hoffmeister M, Kloor M (2019). BRAF mutation testing of MSI CRCs in Lynch syndrome diagnostics: performance and efficiency according to patient‘s age, medrxiv;19009274v1,[Preprint] 1111
• Seelig T, Meyer A, Gerstner P, Meier M, Jongmanns M, Baumann M, Heuveline V, Egbers C (2019). Dielectrophoretic force driven convection in annular geometry under Earth’s gravity, International Journal of Heat and Mass Transfer 139:386-398 1115
• Schween N, Meyer-Hübner N, Gerstner P, Heuveline V (2019). A time step reduction method for Multi-Period Optimal Power Flow problems, EMCL PrePrint Series, No 02 [Preprint] 1114
• Gerstner P, Baumann M, Heuveline V (2019). Analysis of the Stationary Thermal-ElectroHydrodynamic Boussinesq Equations, EMCL PrePrint Series, No 01 [Preprint] 1113
• Zhang W, Mu G, Song C, Yan G, Heuveline V (2019). Extraction of Spatial-Temporal Features of Bus Loads in Electric Grids through Clustering in a Dynamic Model Space, IEEE Access 8:5852-5861 346
• Ballhausen A, Przybilla MJ, Jendrusch M, Haupt S, Pfaffendorf E, Draxlbauer M, Seidler F, Krausert S, Ahadova A, Kalteis MS, Heid D, Gebert J, Bonsack M, Schott S, Bläker H, Seppälä T, Mecklin J, Broeke ST, Nielsen M, Heuveline V, Krzykalla J, Benner A, Riemer AB, Doeberitz MvK, Kloor M (2019). The shared neoantigen landscape of MSI cancers reflects immunoediting during tumor evolution, biorxiv;691469v1,[Preprint] 1112
• Huang J, Brenna C, Khan AuM, Daniele C, Rudolf R, Heuveline V, Gretz N (2019). A cationic near infrared fluorescent agent and ethyl-cinnamate tissue clearing protocol for vascular staining and imaging, Nature Scientific Reports 9(1):521 1116
• John D, Heuveline V, Schober M (2019). GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver, In Proceedings of the 36th International Conference on Machine Learning, vol. 97, pp. 3152–3162, PMLR 1117
• Song C, Heuveline V (2019). Uncertainty Assessment of the Blood Damage in a FDA Blood Pump, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019),pp.640-652 1123

2018

• Kamp Tvd, Schwermann AH, Rolo TdS, Lösel PD, Engler T, Etter W, Faragó T, Göttlicher J, Heuveline V, Kopmann A, Mähler B, Mörs T, Odar J, Rust J, Jerome NT, Vogelgesang M, Baumbach T, Krogmann L (2018). Parasitoid biology preserved in mineralized fossils, Nat Commun 9(1) 353
• Mexner W, Bonn M, Kopmann A, Mauch V, Ressmann D, Chilingaryan SA, Jerome NT, Kamp TVD, Heuveline V, Lösel P, al. e (2018). OpenGL® API-Based Analysis of Large Datasets in a Cloud Environment, Design and Use of Virtualization Technology in Cloud Computing,pp.161-181,IGI Global 242
• Seelig T, Meyer A, Gerstner P, Meier M, Jongmanns M, Baumann M, Heuveline V, Egbers C (2018). Dielectrophoretic force-driven convection in annular geometry under Earth’s gravity, arXiv preprint arXiv:1812.05460 348
• Mexner W, Bonn M, Kopmann A, Mauch V, Ressmann D, Chilingaryan SA, Jerome NT, Kamp Tvd, Heuveline V, Lösel P (2018). OpenGL@API-Based Analysis of Large Datasets in a Cloud Environment, In Design and Use of Virtualization Technology in Cloud Computing, pp. 161–181, IGI Global 349
• Gawlok S, Heuveline V (2018). Nested Schur-Complement Solver for a Low-Mach Number Model: Application to a Cyclone-Cyclone Interaction, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02) 350
• John D, Schick M, Heuveline V (2018). Learning model discrepancy of an electric motor with Bayesian inference, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01) 351
• John D, Schick M, Heuveline V (2018). Bayesian inference for estimating model discrepancy of an electric motor, PAMM, 18(1):1–2 352

2017

• Schmelzle S, Kamp Tvd, Heethoff M, Heuveline V, Lösel P, Becker J, Beckmann F, Schluenzen F, Hammel JU, Kopmann A, Mexner W, Vogelgesang M, Jerome NT, Betz O, Beutel R, Wipfler B, Blanke A, Harzsch S, Hörnig M, Baumbach T (2017). The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data, Developments in X-Ray Tomography XI,p.24,SPIE 253
• Baumann M, Effinger M, Eller D, Heuveline V, Kempf C, Loos L, Maylein L, Peltzer J, Pfeiffer M, Probst V, others (2017). heiMAP: Virtueller Kartentisch, E-Science-Tage 2017: Forschungsdaten managen 231
• Baumann M, Gehbart F, Mattes O, Nikas S, Heuveline V (2017). Development and implementation of a temperature monitoring system for HPC systems, Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware (PARS),Gesellschaft für Informatik e.V.,2017 232
• Bertsch V, Fichtner W, Heuveline V, Leibfried T (2017). Advances in Energy System Optimization: Proceedings of the first International Symposium on Energy System Optimization, Springer International Publishing 233
• Maier-Hein L, Vedula SS, Speidel S, Navab N, Kikinis R, Park A, Eisenmann M, Feussner H, Forestier G, Giannarou S, Hashizume M, Katic D, Kenngott H, Kranzfelder M, Malpani A, März K, Neumuth T, Padoy N, Pugh CM, Schoch N, Stoyanov D, Taylor RH, Wagner M, Hager GD, Jannin P (2017). Surgical Data Science: Enabling Next-Generation Surgery, arXiv, vol. abs/1701.06482 234
• Loderer T, Heuveline V (2017). New sparsing approach for real-time simulations of stiff models on electronic control units, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02) 235
• Schoch N, Heuveline V (2017). Towards an Intelligent Framework for Personalized Simulation-enhanced Surgery Assistance: Linking a Simulation Ontology to a Reinforcement Learning Algorithm for Calibration of Numerical Simulations, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(05) 236
• Gawlok S, Gerstner P, Haupt S, Heuveline V, Kratzke J, Lösel P, Mang K, Schmidtobreick M, Schoch N, Schween N, Schwegler J, Song C, Wlotzka M (2017). HiFlow3 – Technical Report on Release 2.0, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(06) 237
• Heuveline V, Schick M, Webster C, Zaspel P (2017). Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372), In Dagstuhl Reports Number 9, vol. 6 238
• Klatt S, Kraus D, Kraft P, Breuer L, Wlotzka M, Heuveline V, Haas E, Kiese R, Butterbach-Bahl K (2017). Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach, Environmental Modelling & Software, 90:55–67 239
• Lösel P, Heuveline V (2017). A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation, Reconstruction, Segmentation, and Analysis of Medical Images 10129:121-128,Springer International Publishing 240
• Meyer-Hübner N, Suriyah M, Leibfried T, Slednev V, Bertsch V, Fichtner W, Gerstner P, Schick M, Heuveline V (2017). Optimal Storage Operation with Model Predictive Control in the German Transmission Grid, Advances in Energy System Optimization,pp.31-45,Springer International Publishing 241
• Schoch N, Engelhardt S, Simone RD, Wolf I, Heuveline V (2017). High Performance Computing for Cognition-Guided Cardiac Surgery: Soft Tissue Simulation for Mitral Valve Reconstruction in Knowledge-based Surgery Assistance, Modeling, Simulation and Optimization of Complex Processes HPSC 2015,pp.205-221,Springer International Publishing 243
• Schoch N, Heuveline V (2017). Towards Cognition-Guided Patient-Specific FEM-based Cardiac Surgery Simulation, Functional Imaging and Modelling of the Heart 10263:115-126,Springer International Publishing 244
• Slednev V, Ruppert M, Bertsch V, Fichtner W, Meyer-Hübner N, Suriyah M, Leibfried T, Gerstner P, Schick M, Heuveline V (2017). Regionalizing Input Data for Generation and Transmission Expansion Planning Models, Advances in Energy System Optimization,pp.205-217,Springer International Publishing 245
• Song C, Stoll M, Giske K, Bendl R, Heuveline V (2017). Sparse Grids for quantifying motion uncertainties in biomechanical models of radiotherapy patients, Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01) 246
• Song C, Heuveline V (2017). Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump, In International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2017, Scopus, Elsevier 247
• Wlotzka M, Heuveline V (2017). Energy-efficient multigrid smoothers and grid transfer operators on multi-core and GPU clusters, Journal of Parallel and Distributed Computing, 100:181–192 248
• Wlotzka M, Heuveline V, Dolz MF, Heidari MR, Ludwig T, Malossi ACI, Quintana-Orti ES (2017). Energy-Aware High Performance Computing, In ICT-Energy Concepts for Energy Efficiency and Sustainability, InTech 249
• Wlotzka M, Heuveline V, Klatt S, Kraus D, Haas E, Kiese R, Butterbach-Bahl K, Kraft P, Breuer L (2017). Parallel multiphysics simulations using OpenPALM with application to hydrology-biogeochemistry coupling, In Modeling, Simulation and Optimization of Complex Processes – HPSC 2015, Eds: Bock, H.G. and Phu, H.X. and Rannacher, R. and Schlöder, J.P., Springer 250
• Wlotzka M, Heuveline V (2017). An energy-efficient parallel multigrid methods for multi-core CPU platforms and HPC clusters, EMCL Preprint Series, vol. 03 251
• Wlotzka M, Morel T, Piacentini A, Heuveline V (2017). New features for advanced dynamic parallel communication routines in OpenPALM: Algorithms and documentation, EMCL Preprint Series, vol. 04 252

2016

• Schoch N, Kißler F, Stoll M, Engelhardt S, Simone Rd, Wolf I, Bendl R, Heuveline V (2016). Comprehensive patient-specific information preprocessing for cardiac surgery simulations, Int J CARS 11(6):1051-1059 147
• Bromberger M, Bastian P, Bergeest J, Conrad C, Heuveline V, Rohr K, Karl W (2016). FPGA-accelerated Richardson-Lucy Deconvolution for 3D Image Data, In Proceedings International Symposium on Biomedical Imaging (ISBI), pp. Prague, Czech Republic, Apr 2016 68
• Bromberger M, Karl W, Heuveline V (2016). Reducing Energy Consumption of Data Transfers using Runtime Data Type Conversion, In Proceedings Conference on Architecture of Computing Systems – ARCS, Nuremberg, Germany, Apr 2016 69
• Fetzer A, Metzger J, Katic D, März K, Wagner M, Philipp P, Engelhardt S, Weller T, Zelzer S, Franz AM, Schoch N, Heuveline V, Maleshkova M, Rettinger A, Speidel S, Wolf I, Kenngott H, Mehrabi A, Müller-Stich BP, Maier-Hein L, Meinzer H, Nolden M (2016). Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations,p.97890O,SPIE 144
• Kratzke J, Rengier F, Weis C, Beller CJ, Heuveline V (2016). In vitro flow assessment: from PC-MRI to computational fluid dynamics including fluid-structure interaction, Medical Imaging 2016: Physics of Medical Imaging,p.97835C,SPIE 145
• Lösel P, Heuveline V (2016). Enhancing a diffusion algorithm for 4D image segmentation using local information, Medical Imaging 2016: Image Processing,p.97842L,SPIE 146
• Schoch N, Philipp P, Weller T, Engelhardt S, Volovyk M, Fetzer A, Nolden M, Simone RD, Wolf I, Maleshkova M, Rettinger A, Studer R, Heuveline V (2016). Cognitive tools pipeline for assistance of mitral valve surgery, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling,p.978603,SPIE 148
• Schoch N, Speidel S, Sure-Vetter Y, Heuveline V (2016). Towards Semantic Simulation for Patient-Specific Surgery Assistance, Proc. First International Workshop on Surgical Data Science, 1:58-63 149
• Wlotzka M, Heuveline V, Klatt S, Kraus D, Haas E, Kiese K, Butterbach-Bahl K, Kraft P, Breuer L (2016). Parallel multiphysics simulations using OpenPALM with application to hydro-biogeochemistry coupling, Proc. 6th International Conference on High-Performance Scientific Computing 2015 (LNCS Springer), pp. [in press] 150

2015

• Gerstner P, Schick M, Heuveline V (2015). A Multilevel Domain Decomposition approach for solving time constrained Optimal Power Flow problems, Preprint Series of the Engineering Mathematics and Computing Lab, 4:1-32 61
• Hoecker M, Polsterer KL, Kugler SD, Heuveline V (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, In Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pp. 82-91 62
• Meyer-Hübner N, Suriyah M, Leibfried T, Slednev V, Bertsch V, Fichtner W, Gerstner P, Schick M, Heuveline V (2015). Time Constrained Optimal Power Flow Calculations on the German Power Grid, In Proceedings of International ETG Congress, Bonn 63
• Song C, Schick M, Heuveline V (2015). A Polynomial Chaos Method for Uncertainty Quantification in Blood Pump Simulation, In Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP) 64
• Kratzke J, Schick M, Heuveline V (2015). Fluid-Structure Interaction Simulation of an Aortic Phantom with Uncertain Young’s Modulus Using the Polynomial Chaos Expansion, Applied Mechanics and Materials, 807:34-44 65
• Kratzke J, Schoch N, Weis C, Mueller-Eschner M, Speidel S, Farag M, Beller C, Heuveline V (2015). Enhancing 4D PC-MRI in an aortic phantom considering numerical simulations, In Proceedings of SPIE Medical Imaging 2015: Physics of Medical Imaging 66
• Schoch N, Engelhardt S, Zimmermann N, Speidel S, Simone RD, Wolf I, Heuveline V (2015). Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system, In Proceedings of SPIE Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling 67
• Bromberger M, Karl W, Heuveline V (2015). Exploiting approximate computing methods in FPGAs to accelerate stereo correspondence algorithms, In HiPEAC Conference, Amsterdam, Netherlands, Jan 2015 70

2023

• Haupt S (2023). Mathematical modeling of Lynch syndrome carcinogenesis (Doctoral Thesis) 1658

2022

• Lösel P (2022). GPU-basierte Verfahren zur Segmentierung biomedizinischer Bilddaten (Doctoral Thesis) 1634

2020

• Gerstner P (2020). Analysis and Numerical Approximation of Dielectrophoretic Force Driven Flow Problems (Doctoral Thesis) 1197

2018

• Song C (2018). Uncertainty quantification for a blood pump device with generalized polynomial chaos expansion (Doctoral Thesis), Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor) 345
• Kratzke J (2018). Uncertainty quantification for fluid-structure interaction, application to aortic biomechanics (Doctoral Thesis), Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor) 347

2017

• Towards Cognition-Guided Patient-Specific Numerical Simulation for Cardiac Surgery Assistance (Doctoral Thesis) 1659