Imperial College London

DrJohannesPaetzold

Faculty of EngineeringDepartment of Computing

Research Associate in Biomedical Image Analysis
 
 
 
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Contact

 

j.paetzold Website

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

Dr. Johannes C. Paetzold is a Postdoctoral researcher in computer science at Imperial College London. He is also the Artificial Intelligence Team Leader at the Institute for Tissue Engineering and Regenerative Medicine at the Helmholtz Zentrum München. His main interest is the development of deep learning and graph learning methods for large biological networks such as vessels and neurons. Most of the applications he works on concern medical imaging and microscopy with some extensions to remote sensing. Further theoretical research interests include topology-aware machine learning and generative models.

Publications

Journals

Kolabas ZI, Kuemmerle LB, Perneczky R, et al., 2023, Distinct molecular profiles of skull bone marrow in health and neurological disorders., Cell, Vol:186, Pages:3706-3725.e29

Mai H, Luo J, Hoeher L, et al., 2023, Whole-body cellular mapping in mouse using standard IgG antibodies, Nature Biotechnology, ISSN:1087-0156

Mueller TT, Paetzold JC, Prabhakar C, et al., 2023, Differentially Private Graph Neural Networks for Whole-Graph Classification, Ieee Transactions on Pattern Analysis and Machine Intelligence, Vol:45, ISSN:0162-8828, Pages:7308-7318

Bilic P, Christ P, Li HB, et al., 2023, The Liver Tumor Segmentation Benchmark (LiTS), Medical Image Analysis, Vol:84, ISSN:1361-8415

Conference

Holland R, Leingang O, Holmes C, et al., 2023, Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration, Pages:724-734, ISSN:0302-9743

More Publications