Search

Peter Neher

Real-world federated learning in radiology: hurdles to overcome and benefits to gain
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders
Joint Imaging Platform for Federated Clinical Data Analytics

Published with Wowchemy — the free, open source website builder that empowers creators.