Hasso-Plattner-Institut
HPI Digital Health Center
  
 

Digital Health Center

2020

  • Kappattanavar, A.M., da Cruz, H.F., Arnrich, B., Böttinger, E.: Position Matters: Sensor Placement for SittingPosture Classification.IEEE International Conference on Healthcare Informatics. (2020).
     
  • Schapranow, M.-P.: Hand in Hand: Wie KI und Ärzte in der Onkologie zusammenarbeiten.Konkrete Anwendungsfälle von KI & Big-Data in der Industrie.69--74 (2020).
     
  • Trilla, I., Drimalla, H., Bajbouj, M., Dziobek, I.: The Influence of Reward on Facial Mimicry: No Evidence for a Significant Effect of Oxytocin.Frontiers in Behavioural Neuroscience. (2020).
     
  • Somani, S., Richter, F., Fuster, V., Freitas, J.D., Naik, N., Sigel, K., Boettinger, E.P., Levin, M.A., Fayad, Z., Just, A.C., Charney, A., Zhao, S., Glicksberg, B.S., Lala, A., Nadkarni, G.: Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization For COVID-19. (2020).
     
  • Drimalla, H., Scheffer, T., Landwehr, N., Baskow, I., Roepke, S., Behnia, B., Dziobek, I.: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).npj digital medicine.3, (2020).
     
  • Paranjpe, I., Chaudhary, K., Paranjpe, M., O'Hagan, R., Manna, S., Jaladanki, S., Kapoor, A., Horowitz, C., DeFelice, N., Cooper, R., Glicksberg, B., Bottinger, E.P., Just, A.C., Nadkarni, G.N.: Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease.Clinical Journal of the American Society of Nephrology.15,401--403 (2020).
     
  • Vaid, A., Somani, S., Russak, A.J., Freitas, J.K.D., Chaudhry, F.F., Paranjpe, I., Johnson, K.W., Lee, S.J., Miotto, R., Zhao, S., Beckmann, N., Naik, N., Arfer, K., Kia, A., Timsina, P., Lala, A., Paranjpe, M., Glowe, P., Golden, E., Danieletto, M., Singh, M., Meyer, D., OtextquotesingleReilly, P.F., Huckins, L.H., Kovatch, P., Finkelstein, J., Freeman, R.M., Argulian, E., Kasarskis, A., Percha, B., Aberg, J.A., Bagiella, E., Horowitz, C.R., Murphy, B., Nestler, E.J., Schadt, E.E., Cho, J.H., Cordon-Cardo, C., Fuster, V., Charney, D.S., Reich, D.L., Bottinger, E.P., Levin, M.A., Narula, J., Fayad, Z.A., Just, A., Charney, A.W., Nadkarni, G.N., Glicksberg, B.S.: Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients. (2020).
     
  • Paranjpe, I., Russak, A., Freitas, J.K.D., Lala, A., Miotto, R., Vaid, A., Johnson, K.W., Danieletto, M., Golden, E., Meyer, D., Singh, M., Somani, S., Manna, S., Nangia, U., Kapoor, A., OtextquotesingleHagan, R., OtextquotesingleReilly, P.F., Huckins, L.M., Glowe, P., Kia, A., Timsina, P., Freeman, R.M., Levin, M.A., Jhang, J., Firpo, A., Kovatch, P., Finkelstein, J., Aberg, J.A., Bagiella, E., Horowitz, C.R., Murphy, B., Fayad, Z.A., Narula, J., Nestler, E.J., Fuster, V., Cordon-Cardo, C., Charney, D.S., Reich, D.L., Just, A.C., Bottinger, E.P., Charney, A.W., Glicksberg, B.S., Nadkarni, G.: Clinical Characteristics of Hospitalized Covid-19 Patients in New York City. (2020).
     
  • Slosarek, T., Wohlbrandt, A., Böttinger, E.: Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records.arXiv preprint arXiv:2001.01477. (2020).
     

2019

  • Romo Ventura, E., Konigorski, S., Rohrmann, S., Schneider, H., Stalla, G.K., Pischon, T., Linseisen, J., Nimptsch, K.: Association of dietary intake of milk and dairy products with blood concentrations of insulin-like growth factor 1 (IGF-1) in Bavarian adults.European Journal of Nutrition. (2019).
     
  • Avery, E.G., Balogh, A., Bartolomaeus, H., Löber, U., Steckhan, N., Markó, L., Wilck, N., Hamad, I., Šušnjar, U., Mähler, A., Hohmann, C., Lesker, T.R., Strowig, T., Dechend, R., Bzdok, D., Kleinewietfeld, M., Andreas, M., Müller, D.N., Forslund, S.K.: Integrative Network Analysis Of Microbiome-Immune Axis In Metabolic Syndrome Patients During A Fasting Intervention.Hypertension.74, (2019).
     
  • Scharlach, S., Moontaha, S., von Spiczak, S., Stephani, U., Siniatchkin, M., May, T., Galka, A., Meurer, T.: Bewertung von Therapieeffekten bei Epilepsie: Eine vergleichende Analyse zwischen Cox-Stuart-Berechnung und Zustandsraum-Modellierung.11. Gemeinsame Jahrestagung der Deutschen und Österreichischen Gesellschaft für Epileptologie sowie der Schweizerischen Epilepsie-Liga. (2019).
     
  • Konigorski, S., Yilmaz, Y.E., Janke, J., Bergmann, M.M., Boeing, H., Pischon, T.: Powerful rare variant association testing in a copula-based joint analysis of multiple traits.Genetic Epidemiology. (2019).
     
  • Konigorski, S., Monti, R., Lippert, C.: Kernel-based tests integrating variant effect predictions from deep learning for genetic association tests of rare variants.64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS) (2019).
     
  • Datta, S., Schraplau, A., da Cruz, H.F., Sachs, J.P., Mayer, F., Böttinger, E.: A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). p. 933--940. IEEE (2019).
     
  • Schapranow, M.-P.: Für bessere Diagnosen und Therapien: Wie Ärzte und KI in der Krebsbehandlung zusammenarbeiten, https://www.wissenschaftsjahr.de/2019/neues-aus-der-wissenschaft/das-sagt-die-wissenschaft/wie-kuenstliche-intelligenz-das-gesundheitswesen-nachhaltig-unterstuetzt/, (2019).
     
  • Schapranow, M.-P., others, and: A Federated In-memory Database System for Life Sciences. In: Castellanos, M., Chrysanthis, P., and Pelechrinis, K. (eds.) Real-Time Business Intelligence and Analytics. BIRTE 2015, BIRTE 2016, BIRTE 2017. Springer, Cham (2019).
     
  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions.Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Wojcik, G.L., Graff, M., Nishimura, K.K., Tao, R., Haessler, J., Gignoux, C.R., Highland, H.M., Patel, Y.M., Sorokin, E.P., Avery, C.L., Belbin, G.M., Bien, S.A., Cheng, I., Cullina, S., Hodonsky, C.J., Hu, Y., Huckins, L.M., Jeff, J., Justice, A.E., Kocarnik, J.M., Lim, U., Lin, B.M., Lu, Y., Nelson, S.C., Park, S.-S.L., Poisner, H., Preuss, M.H., Richard, M.A., Schurmann, C., Setiawan, V.W., Sockell, A., Vahi, K., Verbanck, M., Vishnu, A., Walker, R.W., Young, K.L., Zubair, N., Acuna-Alonso, V., Ambite, J.L., Barnes, K.C., Boerwinkle, E., Bottinger, E.P., Bustamante, C.D., Caberto, C., Canizales-Quinteros, S., Conomos, M.P., Deelman, E., Do, R., Doheny, K., Fernandez-Rhodes, L., Fornage, M., Hailu, B., Heiss, G., Henn, B.M., Hindorff, L.A., Jackson, R.D., Laurie, C.A., Laurie, C.C., Li, Y., Lin, D.-Y., Moreno-Estrada, A., Nadkarni, G., Norman, P.J., Pooler, L.C., Reiner, A.P., Romm, J., Sabatti, C., Sandoval, K., Sheng, X., Stahl, E.A., Stram, D.O., Thornton, T.A., Wassel, C.L., Wilkens, L.R., Winkler, C.A., Yoneyama, S., Buyske, S., Haiman, C.A., Kooperberg, C., Le Marchand, L., Loos, R.J.F., Matise, T.C., North, K.E., Peters, U., Kenny, E.E., Carlson, C.S.: Genetic analyses of diverse populations improves discovery for complex traits.Nature.570,514--518 (2019).
     
  • Drimalla, H., Landwehr, N., Hess, U., Dziobek, I.: From face to face: the contribution of facial mimicry to cognitive and emotional empathy.Cognition and Emotion.33,1672-1686 (2019).
     
  • Belbin, G.M., Wenric, S., Cullina, S., Glicksberg, B.S., Moscati, A., Wojcik, G.L., Shemirani, R., Beckmann, N.D., Cohain, A., Sorokin, E.P., Park, D.S., Ambite, J.-L., Ellis, S., Auton, A., Bottinger, E.P., Cho, J.H., Loos, R.J.F., Abul husn, N.S., Zaitlen, N.A., Gignoux, C.R., Kenny, E.E., and,: Towards a fine-scale population health monitoring system. (2019).
     
  • Konigorski, S., Janke, J., Drogan, D., Bergmann, M.M., Hierholzer, J., Kaaks, R., Boeing, H., Pischon, T.: Prediction of circulating adipokine levels based on body fat compartments and adipose tissue gene expression.Obesity Facts. (2019).
     
  • Moontaha, S., Galka, A., Siniatchkin, M., Scharlach, S., von Spiczak, S., Stephani, U., May, T., Meurer, T.: SVD Square-root Iterated Extended Kalman Filter for Modeling of Epileptic Seizure Count Time Series with External Inputs.41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2019).
     
  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions.Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Nimptsch, K., Konigorski, S., Pischon, T.: Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine.Metabolism.92,61--70 (2019).
     
  • Konak, O., Freitas Da Cruz, H., Thiele, M., Golla, D., Schapranow, M.-P.: An Information and Communication Platform Supporting Analytics for Elderly Care.5th International Conference on Information for Ageing Well, Communication Technologies e Health (2019).
     
  • Freitas da Cruz, H., Pfahringer, B., Schneider, F., Meyer, A., Schapranow, M.-P.: External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?Proceedings of 17th Conference on Artificial Intelligence in Medicine. pp. 191-201 (2019).
     
  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions.Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Steckhan, N., Arnrich, B.: Digital Transformation of Complementary and Alternative Medicine (Accepted Presubmission).Complementary Medicine Research. (2019).
     
  • Muñoz-González, L., Pfitzner, B., Russo, M., Carnerero-Cano, J., Lupu, E.C.: Poisoning Attacks with Generative Adversarial Nets.arXiv:1906.07773. (2019).
     
  • Drimalla, H., Baskow, I., Roepke, S., Behnia, B., Dziobek, I.: Imitation und Erkennung von Emotionen bei Autismus-Spektrum-Störungen - eine computerbasierte Analyse des fazialen Emotionsausdrucks.12. Wissenschaftliche Tagung Autismus-Spektrum. (2019).
     
  • Slosarek, T., Kraus, M., Schapranow, M.-P., Boettinger, E.: Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data.International Work-Conference on Bioinformatics and Biomedical Engineering. pp. 166-177. Springer (2019).
     
  • Freitas da Cruz, H., Schneider, F., Schapranow, M.-P.: Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations.Proceedings of the 12th International Conference on Biomedical Engineering Systems and Technologies. pp. 380-387. , Prague, Czech Republic (2019).
     
  • Yekta Said, C., Arnrich, B., Ersoy, C.: Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.Journal of Biomedical Informatics.92,103139 (2019).
     
  • Netzahualcoyotl, H., Demiray, B., Arnrich, B., Favela, J.: An Exploratory Study to Detect Temporal Orientation Using Bluetooth's sensor.13th EAI International Conference on Pervasive Computing Technologies for Healthcare.292-297 (2019).
     
  • Hernández, N., Arnrich, B., Favela, J., Ersoy, C., Demiray, B., Fontecha, J.: A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform.Journal of Ambient Intelligence and Humanized Computing.10,2199-2211 (2019).
     
  • Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcomes.International Journal On Advances in Life Sciences.11,33-43 (2019).
     
  • Freitas da Cruz, H., Bergner, B., Konak, O., Schneider, F., Bode, P., Lempert, C., Schapranow, M.-P.: MORPHER – A Platform to Support Modeling of Outcome and Risk Prediction in Health Research.Proceedings of the 19th IEEE International Conference on Bioinformatics and Biomedicine. , Athens, Greece (2019).
     

2018

  • Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark.Performance Evaluation and Benchmarking for the Analytics Era: 9th TPC Technology Conference, TPCTC 2017, Munich, Germany, August 28, 2017, Revised Selected Papers. pp. 25-40. Springer International Publishing (2018).
     
  • Oleynik, M., Faessler, E., Sasso, A.M., Kappattanavar, A., Bergner, B., da Cruz, H.F., Sachs, J.-P., Datta, S., Boettinger, E.: HPI-DHC at TREC 2018 Precision Medicine Track.Notebook papers of the TREC 2018 conference. pp. 1-9 (2018).
     
  • Moontaha, S., Galka, A., Meurer, T., Siniatchkin, M.: Analysis of the effects of medication for the treatment of epilepsy by ensemble Iterative Extended Kalman Filtering.40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2018).
     
  • Konigorski, S., Khorasani, S., Lippert, C.: Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease.Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, arXiv:1812.00448 (2018).
     
  • Kraus, M., Hesse, G., Slosarek, T., Danner, M., Kesar, A., Bhushan, A., Schapranow, M.-P.: DEAME-Differential Expression Analysis Made Easy.Heterogeneous Data Management, Polystores, and Analytics for Healthcare. p. 162--174. Springer (2018).
     
  • Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Prediction of Patient Outcomes after Renal Replacement Therapy in Intensive Care.Proceedings of the 3rd International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing (2018).
     
  • Freitas da Cruz, H., Gebhardt, M., Becher, F., Schapranow, M.-P.: Interactive Data Exploration Supporting Elderly Care Planning.Proceedings of the 10th International Conference on eHealth, Telemedicine, and Social Medicine (2018).
     
  • Oleynik, M., Faessler, E., Sasso, A.M., Kappattanavar, A., Bergner, B., da Cruz, H.F., Sachs, J.-P., Datta, S., Boettinger, E.: HPI-DHC at TREC 2018 Precision Medicine Track. (2018).
     

2017

  • Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten.Plattform Life Sciences.38--39 (2017).
     
  • Yoshiura, V.T., Azevedo-Marques, J.~ao M., Rzewuska, M., Vinci, A.L.T., Sasso, A.M., Miyoshi, N.S.B.~ao, Furegato, A.R.F., Rijo, R.P.C.L., Del-Ben, C.M., Alves, D.: A web-based information system for a regional public mental healthcare service network in Brazil.International journal of mental health systems.11,1 (2017).
     
  • Schaar, K., Geisler, A., Kraus, M., Pinkert, S., Pryshliak, M., Spencer, J.F., Tollefson, A.E., Ying, B., Kurreck, J., Wold, W.S., others,: Anti-adenoviral artificial MicroRNAs expressed from AAV9 vectors inhibit human adenovirus infection in immunosuppressed Syrian hamsters.Molecular Therapy-Nucleic Acids.8,300--316 (2017).
     
  • Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine.Proceedings of the International Conference on Bioinformatics and Computational Biology. p. 93--100. The International Society for Computers and Their Applications (ISCA) (2017).
     
  • Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature.Nucleic acids research. (2017).
     
  • Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., Kraus, M., Uflacker, M.: Olelo: A Question Answering Application for Biomedicine.ACL'17 Demo (2017).
     
  • Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data.Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).
     
  • Moontaha, S., von Spiczak, S., Scharlach, S., Doege, C., Boor, R., May, T., Stephani, U., Siniatchkin, M., Galka, A.: Evaluation der Therapieeffekte antikonvulsiver Medikamente bei Kindern mit strukturell bedingter Epilepsie mittels Zustandsraum-Modellierung.43. Jahrestagung der Gesellschaft für Neuropädiatrie.1-45 (2017).
     
  • Hildenbrand, D., Albert, J., Charrier, P., Steinmetz, C.: Geometric Algebra Computing for Heterogeneous Systems.Advances in Applied Clifford Algebras.27,599-620 (2017).
     

2016

  • Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach.Proceedings of The IEEE International Conference on Big Data.2813--2818 (2016).
     
  • Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions.OKBQA 2016. p. 49 (2016).
     
  • Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology, (2016).
     
  • Cruz, H., Grasnick, S., Dinger, H.: ADRiAS: Acute Disease Risk Assessment System. (2016).
     
  • Schapranow, M.-P.: Datenspendeausweis für ­Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen.Management & Krankenhaus. (2016).
     
  • Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).
     
  • Rückert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016).
     
  • Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences.Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. p. 1133--1139. IEEE (2016).
     
  • Freitas da Cruz, H., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks.Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29-36 (2016).
     
  • Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016).
     

2015

  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology.Proceedings of the ACM Symposium on Applied Computing (2015).
     
  • Denecke, K., Mall, S., Fähnrich, C., Perscheid, C., Adeoye, O.O., Benzler, J., Claus, H., Kirchner, G., Richter, R., Schapranow, M.-P., Schwarz, N., Reigl, L., Tom-Aba, D., Gidado, S., Waziri, N.E., Uflacker, M., Krause, G., Poggensee, G.: „Surveillance and Outbreak Response Management and Analysis System (SORMAS)“ ermöglicht Kontrolle von Ebola-Infizierten in Westafrika.10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) (2015).
     
  • Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa.Euro Surveillance. (2015).
     
  • Schapranow, M.-P., Kraus, M., Perscheid, C., Bock, C., Liedtke, F., Plattner, H.: The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine.Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 770-775 (2015).
     
  • Massicano, F., Sasso, A., Tomaz, H., Oleynik, M., Nobrega, C., Patrao, D.F.C.: An Ontology for TNM Clinical Stage Inference.ONTOBRAS (2015).
     
  • Patr~ao, D.F.C., Oleynik, M., Massicano, F., Sasso, A.M.: Recruit-An Ontology Based Information Retrieval System for Clinical Trials Recruitment.MedInfo. p. 534--538 (2015).
     
  • Dobkwicz, M., Jüttner, T., Freitas da Cruz, H., Heidtke, K., Finkenwirth, T., Kunze, S., Hänold, S., Nwankwo, I., Forgó, N., Schröder, C., Graf, N.: Implementation and Demonstration of the p-BioSPRE Metabiobank Platform.Demo at the 15th World Congress on Health and Biomedical Informatics (2015).
     
  • Schapranow, M.-P., Perscheid, C., Wachsmann, A., Siegert, M., Bock, C., Horschig, F., Liedke, F., Brauer, J., Plattner, H.: A Federated In-Memory Database System For Life Sciences.Proceedings of the 9th International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE) (2015).
     
  • Schapranow, M.-P., Perscheid, C., Plattner, H.: IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials.Proceedings of the 4th International Conference on Global Health Challenges. pp. 67-73. IARIA (2015).
     

2014

  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: In-Memory Technology Enables Interactive Drug Response Analysis.16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014) (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis.The Third International Conference on Global Health Challenges (2014).
     
  • Haeger, F., Schapranow, M.-P., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis.International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).
     
  • Herbst, K., Fähnrich, C., Neves, M., Schapranow, M.-P.: Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain.CLEF 2014 Evaluation Labs and Workshop, Online Working Notes (2014).
     
  • Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine.Springer (2014).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Towards Integrating the Detection of Genetic Variants into an In-Memory Database.Proceedings of the International Conference on Big Data (2014).
     

2013

  • Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen.Krankenhaus-IT Journal, p. 26. (2013).
     
  • Schapranow, M.-P., Plattner, H.: In-Memory Technology Enables History-Based Access Control for RFID-Aided Supply Chains.The Secure Information Society: Ethical, Legal and Political Challenges, pp. 187-213 (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Applied In-Memory Technology to High Throughput Genome Data Processing.Proceedings of XXI Winter Course of the CATAI (CATAI 2013). pp. 35-42. , Canary Islands, Spain (2013).
     
  • Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data.Proceedings of the International Conference on Big Data. pp. 691-696 (2013).
     
  • Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine.The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).
     
  • Haeger, F., Plattner, H., Schapranow, M.-P.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis.Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5-10 (2013).
     
  • Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis.System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).
     
  • Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone.Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).
     
  • Schapranow, M.-P.: Real-time Security Extensions for EPCglobal Networks: Case Study for the Pharmaceutical Industry.In-Memory Data Management Research, Springer (2013).
     

2012

  • Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin.Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).
     
  • Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin.Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).
     
  • Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry.Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).
     

2011

  • Schapranow, M.-P., Zeier, A., Plattner, H., Müller, J., Lorenz, M.: Discovery Services in the EPC Network.Designing and Deploying RFID Applications, pp. 109-130, INTECH Press (2011).
     
  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: What are Authentic Pharmaceuticals Worth?Designing and Deploying RFID Applications, pp. 204-220, INTECH Press (2011).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: A Formal Model for Enabling RFID in Pharmaceutical Supply Chains.44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: Security Extensions for Improving Data Security of Event Repositories in EPCglobal Networks.The 9th International Conference on Embedded and Ubiquitous Computing pp. 213-220 (2011).
     
  • Schapranow, M.-P., Lorenz, M., Zeier, A., Plattner, H.: License-based Access Control in EPCglobal Networks.The 7th European Workshop on RFID Systems and Technologies, pp. 1-7 (2011).
     
  • Schapranow, M.-P., Zeier, A., Leupold, F., Schubotz, T.: Securing EPCglobal Object Name Service -- Privacy Enhancements for Anti-counterfeiting.2nd International Conference on Intelligent Systems, Modeling and Simulation, pp. 332-337 (2011).
     
  • Lorenz, M., Müller, J., Schapranow, M.-P., Zeier, A.: A Distributed EPC Discovery Service based on Peer-to-peer Technology.Proceedings of the RFID SysTech 2011, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden. pp. 1 - 7. VDE (2011).
     
  • Zeier, A., Plattner, H., Schapranow, M.-P., Müller, J.: Costs of Authentic Pharmaceuticals: Research on Qualitative and Quantitative Aspects of Enabling Anti-counterfeiting in RFID-aided Supply Chains.Personal and Ubiquitous Computing, Volume 16, Issue 3.271-289 (2011).
     
  • Schapranow, M.-P., Fähnrich, C., Zeier, A., Plattner, H.: Simulation of RFID-aided Supply Chains: Case Study of the Pharmaceutical Supply Chain.Third International Conference on Computational Intelligence, Modelling and Simulation, pp. 340-345 (2011).
     

2010

  • Schapranow, M.-P., Kühne, R., Zeier, A.: Real-Time Billing in Smart Grid Infrastructures.Power and Energy Student Summit 2010 - Integration of Renewable Energies into the Grid (2010).
     
  • Müller, J., Schapranow, M.-P., Pöpke, C., Urbat, M., Zeier, A., Plattner, H.: Best Practices for Rigorous Evaluation of RFID Software Components.Proceedings of the 6th European Workshop on RFID Systems and Technologies (RFID !SysTech'10), Ciudad Real, Spain (2010).
     
  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: RFID Event Data Processing -- An Architecture for Storing and Searching.Proceedings of the 4th International Workshop on RFID Technology - Concepts, Applications, Challenges, Funchal, Madeira, Portugal (2010).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: A Dynamic Mutual RFID Authentication Model Preventing Unauthorized Third Party Access.The 4th International Conference on Network and System Security, , pp. 371-376 (2010).
     
  • Schapranow, M.-P., Nagora, M., Zeier, A.: CoMoSeR: Cost Model for Security-Enhanced RFID-Aided Supply Chains.The 18th International Conference on Software, Telecommunication and Computer Networks, pp. 11-16 (2010).
     
  • Schapranow, M.-P., Geller, F., Lorenz, M., Müller, J., Kowark, T., Zeier, A.: Assessment of Communication Protocols in the EPC Network: Replacing Textual SOAP and XML with Binary Google Protocol Buffers Encoding.17th IEEE International Conference on Industrial Engineering and Engineering Management (IE&EM), Xiamen, China (2010).
     
  • Schapranow, M.-P., Kühne, R., Zeier, A.: Enabling Real-Time Charging for Smart Grid Infrastructures using In-Memory Databases.1st IEEE LCN Workshop on Smart Grid Networking Infrastructure (2010).
     

2009

  • Müller, J., Schapranow, M.-P., Helmich, M., Enderlein, S., Zeier, A.: RFID Middleware as a Service - Enabling Small and Medium-sized Enterprises to Participate in the EPC Network.16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Müller, J., Faust, M., Schwalb, D., Schapranow, M.-P., Zeier, A., Plattner, H.: A Software as a Service RFID Middleware for Small and Medium-sized Enterprises.Proceedings of the 5th European Workshop on RFID Systems and Technologies (RFID !SysTech'09), Bremen, Germany (2009).
     
  • Schapranow, M.-P., Krüger, J., Borovskiy, V., Zeier, A., Plattner, H.: Data Loading & Caching Strategies in Service-Oriented Enterprise Applications.Proceedings of IEEE Congress on Services (SERVICES 2009), Los Angeles, CA, USA (2009).
     
  • Borovskiy, V., Müller, J., Schapranow, M.-P., Zeier, A.: Ensuring Service Backwards Compatibility with Generic Web Services.Proceedings of ICSE 2009, PESOS Workshop, Vancouver, Canada (2009).
     
  • Zeier, A., Schapranow, M.-P., Krüger, J., Uflacker, M., Müller, J.: noFilis CrossTalk 2.0 as Device Management Solution, Experiences while Integrating RFID Hardware into SAP Auto-ID Infrastructure.Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Schapranow, M.-P., Müller, J., Krüger, J., Hofmann, P., Zeier, A.: Integration of RFID Technology is a Key Enabler for Demand-Driven Supply Network.The IUP Journal of Supply Chain Management, Volume 6, Nos. 3 & 4, pp. 57-74. (2009).
     
  • Schapranow, M.-P., Zeier, A., Borovskiy, V., Müller, J.: Binary Search Tree Visualization Algorithm.16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: Security Aspects in Vulnerable RFID-Aided Supply Chains.Proceedings of the 5th European Workshop on RFID Systems and Technologies, Bremen (2009).
     
  • Schapranow, M.-P., Müller, J., Enderlein, S., Helmich, M., Zeier, A.: Low-Cost Mutual RFID Authentication Model Using Predefined Password Lists.The 16th International Conference on Industrial Engineering and Engineering Management, pp. 889-893 (2009).
     

2008

  • Schapranow, M.-P., Krüger, J., Müller, J.: Smart Enterprise Widgets: Little Helpers with a Big Impact.SAP INFO (online). (2008).
     
  • Krüger, J., Grund, M., Schaffner, J., Schapranow, M.-P., Bog, A.: Shared Table Access Pattern Analysis for Multi-Tenant Applications.IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE'08), Tianjin, China (2008).
     
  • Schapranow, M.-P., Grund, M., Krüger, J., Schaffner, J., Bog, A.: Combining Advantages - Unified Data Stores in Global Enterprises.IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE'08), Tianjin, China (2008).
     
  • Grund, M., Schaffner, J., Schapranow, M.-P., Bog, A., Krüger, J.: Operational Reporting Using Navigational SQL.IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE'08), Tianjin, China (2008).
     
  • Schapranow, M.-P., Krüger, J.: HPI Students Learn with SAP Enterprise Services.SAP INFO (online). (2008).