Das Seminar findet als Zoom-Konferenz statt. Webcam oder Mikrofon sind für die Teilnahme nicht erforderlich. Die Zugangsdaten werden Ihnen nach erfolgter Anmeldung (Kontakt: Tanja Boden) per Email zugeschickt.

Datum Uhrzeit Referent/-in Thema
Mi 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)
Mi 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.
Mi 25.05.2022 12.00-12.30 Pia Lange Simulation-assisted machine learning, Deist et al (2019 in Bioinformatics, Volume 35)
Mi 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)
Mi 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)
Mi 06.07.2022 12.00-12.30 Dr. Philipp Neuhaus Wireshark
Mi 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)
Mi 03.08.2022 12.00-12.30 Catharina Marie van Alen Transformers in Medical Imaging: A survey von Shamshad et al., erschienen 01.2022
Mi 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"
Mi 31.08.2022 12.00-12.30 Kemal Yildirim U-Net: Convolutional Networks for Biomedical Image Segmentation
Mi 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)
Mi 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)