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Klaus Maier-Hein
Head of Medical Image Computing
German Cancer Research Center (DKFZ)
Latest
Real-world federated learning in radiology: hurdles to overcome and benefits to gain
Metrics reloaded: recommendations for image analysis validation
Understanding metric-related pitfalls in image analysis validation
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports
Metrics reloaded: Pitfalls and recommendations for image analysis validation
Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration
Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform
Fine-tuning BERT Models for Summarizing German Radiology Findings
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders
The Federated Tumor Segmentation (FeTS) Challenge
Common Limitations of Image Processing Metrics: A Picture Story
Joint Imaging Platform for Federated Clinical Data Analytics
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