The seminar takes place as a zoom-conference. A webcam or microphone are not required to participate. The login details will be sent to you by email after registration (contact: Tanja Boden).

Date Time Speaker Topic
Wed 13.04.2022 12.00-12.30 Leonard Greulich Fatigue, boredom and objectively measured smartphone use at work. Dora et al. (2021 in Royal Society Open Science)
Wed 11.05.2022 12.00-12.30 Alice Janssen The Use of FHIR in Digital Health – a Review of the Scientific Literature. Lehne et al.
Wed 25.05.2022 12.00-12.30 Pia Lange Simulation-assisted machine learning, Deist et al (2019 in Bioinformatics, Volume 35)
Wed 08.06.2022 12.00-12.30 Lucas Plagwitz XEM: An explainable-by-design ensemble method for multivariate time series classification (2022, Data Mining and Knowledge Discovery)
Wed 22.06.2022 12.00-12.30 Johannes Benedict Oehm Will Apple devices’ passive atrial fibrillation detection prevent strokes? Estimating the proportion of high-risk actionable patients with real-world user data (Keith Feldman, Ray G. Duncan, An Nguyen, Galen Cook-Wiens, Yaron Elad, Teryl Nuckols and Joshua M. Pevnick)
Wed 06.07.2022 12.00-12.30 Dr. Philipp Neuhaus Wireshark
Wed 20.07.2022 12.00-12.30 Sarah Riepenhausen Topological data analysis reveals genotype-phenotype relationships in primary ciliary dyskinesia (Shoemark et. Al. 2021 in European Respiratory Journal)
Wed 03.08.2022 12.00-12.30 Catharina Marie van Alen Transformers in Medical Imaging: A survey von Shamshad et al., erschienen 01.2022
Wed 17.08.2022 12.00-12.30 Dr. Carolin Walter Miller et al, 2022, "Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data"
Wed 31.08.2022 12.00-12.30 Kemal Yildirim U-Net: Convolutional Networks for Biomedical Image Segmentation
Wed 14.09.2022 12.00-12.30 Alexander Brenner The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification (Middlehurst et al., 2020, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases)
Wed 28.09.2022 12.00-12.30 Verena Dietrich Polishing copy number variant calls on exome sequencing data via deep learning (June, 2022 in Genome Research)