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Termine MDS Lab Seminar

Die nächsten Termine des MDS Lab Seminars sind:

  • 25.11.2024 - 13:00 Uhr, Philipp-Rosenthal-Str.55, ISAP, Dachgeschoss, Raum: 3119
    Thema: The interplay of green spaces and mental health
Vergangene Termine:

  • 29.10.2024 - Early detection of heart failure using combined clinical and ECG data
  • 14.10.2024 - Improving ICU outcome prediction using ICD code embedding in machine learning
  • 30.09.2024 - The interplay of green spaces and mental health
  • 16.09.2024 - AI-based liver cancer segmentation in computed tomography scans
  • 02.09.2024 - Consent management within the PATH project
  • 08.07.2024 - DiaClust clustering of type 2 diabetes patients
  • 24.06.2024 - Automated diagnosis of malnutrition in hospitalized patients - NutriScoPe
  • 10.06.2024 - The local hub approach for managing research data
  • 13.05.2024 - Synthetic data generation at scale for record linkage (Gecko)
  • 15.04.2024 - Prediction of unplanned ICU readmission in the MIMIC-IV dataset
  • 04.03.2024 - Deep learning-based white-matter abnormality detection in multi-protocol brain MRIs
  • 19.02.2024 - AI-based classification of Skin Lesions
  • 05.02.2024 - Leuko-Expert - Current progress and early results
  • 18.12.2023 - An Automated Pipeline for Efficacy Evaluation of Brain-MRI Defacing Software
  • 01.11.2023 - Leuko-Expert: Current progress and results
  • 25.10.2023 - e-Nabız: An electronic health record system platform
  • 13.10.2023 - Linking data between LIFE and the cancer registry
  • 04.10.2023 - Investigating injury risk factors for professional football athletes through machine learning
  • 04.09.2023 - Design of a supporting software tool for algorithmic infection surveillance from digitally available clinical data
  • 21.08.2023 - Prediction of unplanned intensive care readmission
  • 07.08.2023 - Developing an Automatic Evaluation Program for MRI-Defacing Efficacy
  • 03.07.2023 - Design of software system to support infection surveillance
  • 13.06.2023 - Introduction to FAIR Data Spaces Project
  • 28.04.2023 - Physical principles of magnetic resonance imaging
  • 15.05.2023 - Machine learning algorithm for medical signals
  • 03.04.2023 - Image preprocessing for brain MRI lesion segmentation
  • 17.04.2023 - Predictive modelling for unplanned hospital readmission risk
    - Image preprocessing pipeline for pseudonymization
  • 06.03.2023 - Introduction to Kanban for research projects
  • 20.02.2023 - From computational neuroanatomy to clinical implementations
  • 23.01.2023 - AI models for length of stay prediction and re-hospitalization
  • 09.01.2023 - Methodology to derive a conception of a center for adults with disabilities
  • 01.11.2022 - Prediction of hospitalization length of stay using MIMIC IV emergency department data
  • 17.10.2022 - ETL Pipelines im Datenintegrationszentrum
  • 19.09.2022 - Mapping study data from relational to FHIR format
  • 05.09.2022 - Population-based association of retinal nerve fibre layer thickness with cognitive function
  • 22.08.2022 - DIZ - Application Framework at the Data Integration Center Leipzig
  • 11.07.2022 - Laboratory-based prediction of acute kidney insufficience progression
  • 27.06.2022 - Praktische Herausforderungen beim Einsatz von Wearables im Gesundheitswesen (Practical challenges of using wearables in healthcare)
  • 14.06.2022 - Data Quality Assessment Pipeline
  • 30.05.2022 - Introduction to MIMIC Dataset
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