Heinz-Peter Schlemmer

Latest

Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports
Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
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
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders
Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image.
Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Joint Imaging Platform for Federated Clinical Data Analytics
Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study