Jens Kleesiek
Scholar

Jens Kleesiek

Google Scholar ID: Vly6hRQAAAAJ
Institute for AI in Medicine (IKIM), University Hospital Essen
Medical Machine LearningMRICTBiomedical ImagingNLP
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Citations & Impact
All-time
Citations
5,807
 
H-index
35
 
i10-index
93
 
Publications
20
 
Co-authors
0
 
Contact
Emailadmin.mml@uk-essen.deGitHubOpen ↗
Publications
26 items
BiCC: Bidirectional Connected-Component Loss for Instance-Aware Segmentation
2026
Cited
0
SCoPE-Reg: Efficient Rigid Ultrasound Slice-to-Volume Registration via State-Space Correlation and Closed-Form Pose Estimation
2026
Cited
0
Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval
2026
Cited
0
Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why
2026
Cited
0
++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
2026
Cited
0
Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
2026
Cited
0
Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs
2026
Cited
0
The autoPET3 Challenge -- Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization
2026
Cited
0
Resume
Research Experience
  • Leads the Medical Machine Learning research group, which is part of the Cancer Research Center Cologne Essen (CCCE). Also a PI in the German Cancer Consortium (DKTK) and at the Helmholtz Information & Data Science School for Health. Closely cooperates with the German Cancer Center (DKFZ) to develop the Joint Imaging Platform (JIP) for distributed data analysis and federated learning.
Background
  • Professor of Translational Image-guided Oncology. Research interests include the development and deployment of cutting-edge machine learning methods to make a meaningful difference for patients, doctors, and hospital staff. Collaborates with a digital-forward clinic administration to build on a SMART hospital information technology structure.