Institute of Medical Informatics

Research output

Research output per year 1995 2009 2013 2015 2016 2017 2018 2019 2020 2021 2022 2024

• 5080 Citations
• 349 Conference contribution
• 315 Journal articles
• 148 Conference Papers
• 29 Chapter
• 78 More
  • 17 Conference proceedings
  • 16 Books
  • 15 Anthologies
  • 7 Scientific review articles
  • 6 Doctoral Theses
  • 5 Editorial
  • 2 Comments/Debates
  • 2 Letters
  • 2 Short survey
  • 2 Bachelor Theses
  • 1 Abstracts
  • 1 Poster
  • 1 Newspaper articles
  • 1 Working papers

Research output per year

Research output per year

Search results

• 2024

  Binary classification of gait impairments using a capacitance-based sensor floor system

  Najork, S., Liebenow, L., Scherf, L. P., Steinhage, A., Sieciński, S. & Grzegorzek, M., 29.01.2024, p. 105-106. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Capacitance 100%
  • Random forests 61%
  • Sensors 59%

• Does glucose affect our vision? A preliminary study using smart glasses

  Doniec, R., Piaseczna, N., Sieciński, S., Grzegorzek, M. & Tkacz, E. J., 29.01.2024, p. 113-114. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Glucose 100%
  • Blood 81%
  • Glass 69%
  • Wearable sensors 36%
  • Machine learning 21%

• Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

  Sieciński, S., Scherf, L. P. & Grzegorzek, M., 29.01.2024, p. 161-162. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Multilayer neural networks 100%
  • Electrocardiography 95%
  • Classifiers 68%
  • Random forests 51%
  • Support vector machines 39%
• 2023

  Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction

  Sieciński, S., Irshad, M. T., Hasan, M. A., Tkacz, E. & Grzegorzek, M., 10.2023, p. 15:1-15:5. 5 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Classifiers 100%
  • Random forests 99%
  • Biomedical signal processing 73%
  • Frequency domain analysis 59%
  • Time domain analysis 59%

• Classification of Recorded Electrooculographic Signals on Drive Activity for Assessing Four Kind of Driver Inattention by Bagged Trees Algorithm: A Pilot Study

  Doniec, R., Sieciński, S., Piaseczna, N., Duraj, K., Chwał, J., Gawlikowski, M. & Tkacz, E., 11.09.2023, p. 225-236. 12 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Seats 100%
  • Glass 75%
  • Machine learning 69%
  • Simulators 69%
  • Classifiers 67%

• Introducing a non-invasive app for cardiovascular disease diagnosis support - a pilot study

  Doniec, R. J., Piaseczna, N., Berepiki, E., Irshad, M. T., Huang, X., Sieciński, S. & Grzegorzek, M., 2023.

  Research output: Contribution to conference › Conference Papers › peer-review

• Publicly available signal databases containing seismocardiographic signals-the state in early 2023

  Sieciński, S., Grzegorzek, M. & Tkacz, E. J., 11.12.2023, p. 1-4. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • artifact 100%
  • cardiovascular disease 69%
  • analysis 63%
  • inspection 54%
  • transform 46%

• Symmetric Projection Attractor Reconstruction Analysis As a Method for Assessment of The Quality of Seismocardiograms in Healthy Population

  Sieciński, S., Irshad, M. T., Hasan, M. A., Tkacz, E. J., Kostka, P. S. & Grzegorzek, M., 11.12.2023, p. 1-4. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Value engineering 100%
  • Inspection 61%
• 2022

  Continuous benchmarking in medical image registration-review of the current state of the Learn2Reg challenge

  Hansen, L., Hering, A. D., Großbröhmer, C. & Heinrich, M., 21.04.2022.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2021

  Characterization of brain tumor tissue with 1310 nm optical coherence tomography

  Strenge, P., Lange, B., Grill, C., Draxinger, W., Danicke, V., Theisen-Kunde, D., Handels, H., Bonsanto, M. M., Hagel, C., Huber, R. & Brinkmann, R., 04.03.2021, p. 61.

  Research output: Contribution to conference › Conference Papers › peer-review

• CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images

  Andresen, J., Kepp, T., Ehrhardt, J., von der Burchard, C., Roider, J. & Handels, H., 2021, p. 20-21.

  Research output: Contribution to conference › Conference Papers › peer-review

• Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples

  Strenge, P., Lange, B., Grill, C., Draxinger, W., Danicke, V., Theisen-Kunde, D., Handels, H., Hagel, C., Bonsanto, M. M., Huber, R. & Brinkmann, R., 04.03.2021, p. 60.

  Research output: Contribution to conference › Conference Papers › peer-review

• Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition.

  Bigalke, A. & Heinrich, M. P., 2021, p. 617-626.

  Research output: Contribution to conference › Conference Papers › peer-review

• Medical Data Engineering - Theory and Practice.

  Kock-Schoppenhauer, A-K., Schreiweis, B., Ulrich, H., Reimer, N., Wiedekopf, J., Kinast, B., Busch, H., Bergh, B. & Ingenerf, J., 2021, p. 269-284.

  Research output: Contribution to conference › Conference Papers › peer-review

• New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

  Andresen, J., Uzunova, H., Ehrhardt, J. & Handels, H., 2021, p. 111-114.

  Research output: Contribution to conference › Conference Papers › peer-review

• Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning

  Schumacher, M., Frey, D., Ha, I. Y., Genz, A., Bade, R. & Heinrich, M. P., 2021, p. 16-21.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2020

  Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems

  Barkow, L., Meincke, O., Ulrich, H. & Ingenerf, J., 2020, p. 123-126. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Analysis of the Relevance of Physiological Signals for Sleep Stage Classification using Deep Neural Networks

  Kasten, M., Li, F., Huang, X. & Grzegorzek, M., 01.09.2020.

  Research output: Contribution to conference › Conference Papers › peer-review

• Aortic Detection in Image Sequences of Electrical Impedance Tomography

  Herrmann, S., Schneider, D., Mrongowius, J. & Heinrich, M., 2020, p. 335-338. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Automatic anatomical structure detection in aortic CT angiography

  Pallenberg, R., Fleitmann, M., Soika, K. L. & Handels, H., 2020, p. 157-160. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Automatic multi-object organ detection and segmentation in abdominal CT data

  Mietzner, O. & Mastmeyer, A., 2020, p. 197-200. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Automatic segmentation of prostate zones in MRI data using different variants of the U-Net

  Rüttgers, S., Hocke, J. & Heinrich, M., 2020, p. 169-172. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Connecting Old Devices Safely To The Cloud

  Kath, N., Seidel, A. & Ingenerf, J., 2020, p. 277-280.

  Research output: Contribution to conference › Conference Papers › peer-review

• Deploying a molecular tumor board on an open platform

  Reimers, N., Busch, H. & Ingenerf, J., 2020, p. 139-142. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Development of a Deep Learning based classification of respirator masks for a mobile application

  Bartram, L., Dedersen, B. & Heinrich, M., 2020, p. 193-196. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds

  Gillner, M. L., Blendowski, M. C. & Heinrich, M., 2020, p. 201-204. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Frequency based detection of regions of interest in videodata to estimate human breathing frequency

  Sirocko, J., Diesel, J. & Heinrich, M., 2020, p. 177-180. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Generation of message transformers based on HL7 FHIR StructureMaps within the interface engine Mirth Connect

  Vogl, K. M., Ulrich, H. & Ingenerf, J., 2020, p. 131-134. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Learning to map between ferns with differentiable binary embedding networks

  Blendowski, M. & Heinrich, M. P., 2020.

  Research output: Contribution to conference › Conference Papers › peer-review

• MetaCheck - a Web Application for the Automatic Evaluation of Metadata in Healthcare

  Banach, A., Kock-Schoppenhauer, A-K., Ulrich, H. & Ingenerf, J., 2020, p. 143-146.

  Research output: Contribution to conference › Conference Papers › peer-review

• Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers

  Boudnik, L., Hochreiter, J., Müllegger, G. & Heinrich, M., 2020, p. 323-326. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Transforming Nutrition Databases Towards Semantically Consistent Content Classification

  Liebenow, L., Twesten, C. & Grzegorzek, M., 2020, p. 147-150. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Workflow development to create and analyse QA parameter from MRI images

  Postel, S., Mastmeyer, A. & Hirsch, J., 2020, p. 185-188. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2019

  Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

  Deppenwiese, N., Kock-Schoppenhauer, A-K., Ulrich, H., Duhm-Harbeck, P. & Ingenerf, J., 06.09.2019.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Metadata 100%
  • Clinical research 23%
  • Data integration 19%

• Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent

  Blendowski, M. & Heinrich, M. P., 2019, p. 73-83.

  Research output: Contribution to conference › Conference Papers › peer-review

• Sparse Structured Prediction for Semantic Edge Detection in Medical Images

  Hansen, L. & Heinrich, M. P., 2019, p. 250-259.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2016

  Export- und Update-Modul für Studiendaten aus OpenClinica zur Weiterverarbeitung in MS Excel

  Wagenzink, S., Duhm-Harbeck, P., Kock, A-K. & Ingenerf, J., 08.08.2016.

  Research output: Contribution to conference › Conference Papers › peer-review

• Transformation von Intensivdaten von der MIMIC-II Datenbank auf einen FHIR-Server

  Kamann, C. & Ingenerf, J., 09.08.2016.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2015

  A Maximum-A-Posteriori Framework for Statistical Appearance Models with Probabilistic Correspondences

  Krüger, J., Ehrhardt, J. & Handels, H., 2015.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Statistical Models 100%
  • Global optimization 12%
  • X rays 11%

• Managing the Data Exchange Between a Service-Oriented Medical Device Architecture and Hospital Information Systems

  Ingenerf, J. & Andersen, B., 01.09.2015.

  Research output: Contribution to conference › Conference Papers › peer-review

• Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations

  Wilms, M., Werner, R., Yamamoto, T., Handels, H. & Ehrhardt, J., 2015, p. 81-88. 8 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Population 100%
  • Four-Dimensional Computed Tomography 41%
  • Cluster Analysis 25%
  • Respiration 23%
  • Radiotherapy 19%

• Random Forests with Selected Features for Stroke Lesion Segmentation

  Wilms, M., Handels, H. & Maier, O., 2015, p. 17-22. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Random forests 100%
  • Recovery 63%
  • Fluids 60%
  • Magnetic resonance 32%
  • Tissue 26%

• Standardisation for Plug and Play of Medical Devices

  Dehm, J., Moser, H. & Andersen, B., 01.09.2015.

  Research output: Contribution to conference › Conference Papers › peer-review

• Vom Forschungsprototypen zur industriellen Nutzung einer qualitätsgesicherten medizinischen Softwarekomponente - Technologietransfer im CMSSE

  Busshaus, T. B., Fischer, S., Kühn, F., Leucker, M., Schmitz, M. & Mildner, A., 01.05.2015, p. 243-248. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Vom Forschungsprototypen zur industriellen Nutzung einer qualitätsgesicherten medizinischen Softwarekomponente textendash Technologietransfer im CMSSE

  Busshaus, T., Fischer, S., Kühn, F., Leucker, M., Mildner, A. & Schmitz, M., 01.03.2015, p. 1-6. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2014

  4D Medial Image Computing and Model-based Estimation of Respiratory Motion in Image-guided Radiation Therapy

  Handels, H., Ehrhardt, J. & Wilms, M., 2014, p. 19.

  Research output: Contribution to conference › Conference Papers › peer-review

• Mammo3D - Automatic Determination of Corresponding Structures in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis

  Wilms, M., Krüger, J., Ehrhardt, J., Bischof, A., Barkhausen, J. & Handels, H., 10.2014, p. 30.

  Research output: Contribution to conference › Conference Papers › peer-review

• Motion Estimation in Artifact-affected 4D CT Images Using Temporal Consistent Model-based Registration with Local Adaptive Weights

  Ehrhardt, J. & Handels, H., 2014, p. 5-12. 8 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Probabilistic Shape and Appearance Models without One-to-One Correspondences

  Krüger, J., Ehrhardt, J. & Handels, H., 06.2014, p. 22.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2013

  4D-Planung von Leberpunktionen unter Berücksichtigung der Atembewegung

  Hecht, T., Mastmeyer, A., Fortmeier, D., Handels, H. (ed.), Handels, H. (ed.) & Ingenerf, J. (ed.), 27.08.2013, p. ID 193: 336-337. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review