Heinz-Peter Schlemmer | IKIM MMLhttps://mml.kite.ume.de/authors/heinz-peter-schlemmer/Heinz-Peter SchlemmerHugoBlox Kit (https://hugoblox.com)en-usFri, 01 May 2026 00:00:00 +0000https://mml.kite.ume.de/media/authors/heinz-peter-schlemmer_hu_e9801351d829aef0.jpegHeinz-Peter Schlemmerhttps://mml.kite.ume.de/authors/heinz-peter-schlemmer/Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learninghttps://mml.kite.ume.de/publications/rotkopf-robustness-2026/Fri, 01 May 2026 00:00:00 +0000https://mml.kite.ume.de/publications/rotkopf-robustness-2026/Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography imageshttps://mml.kite.ume.de/publications/prinz-novel-2023/Sun, 01 Jan 2023 00:00:00 +0000https://mml.kite.ume.de/publications/prinz-novel-2023/Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomicshttps://mml.kite.ume.de/publications/wennmann-prediction-2023/Sun, 01 Jan 2023 00:00:00 +0000https://mml.kite.ume.de/publications/wennmann-prediction-2023/'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patienthttps://mml.kite.ume.de/publications/strack-net-2022/Sat, 01 Oct 2022 00:00:00 +0000https://mml.kite.ume.de/publications/strack-net-2022/Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reportshttps://mml.kite.ume.de/publications/fink-deep-2022/Fri, 01 Jul 2022 00:00:00 +0000https://mml.kite.ume.de/publications/fink-deep-2022/Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task forcehttps://mml.kite.ume.de/publications/sedlaczek-quantification-2022/Wed, 01 Jun 2022 00:00:00 +0000https://mml.kite.ume.de/publications/sedlaczek-quantification-2022/Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibrationhttps://mml.kite.ume.de/publications/zhang-pseudoprospective-2022/Fri, 01 Apr 2022 00:00:00 +0000https://mml.kite.ume.de/publications/zhang-pseudoprospective-2022/Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility studyhttps://mml.kite.ume.de/publications/wennmann-combining-2022/Sat, 01 Jan 2022 00:00:00 +0000https://mml.kite.ume.de/publications/wennmann-combining-2022/In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disordershttps://mml.kite.ume.de/publications/wennmann-vivo-2022/Sat, 01 Jan 2022 00:00:00 +0000https://mml.kite.ume.de/publications/wennmann-vivo-2022/Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image.https://mml.kite.ume.de/publications/murray-vesseg-2021/Fri, 01 Oct 2021 00:00:00 +0000https://mml.kite.ume.de/publications/murray-vesseg-2021/Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesionshttps://mml.kite.ume.de/publications/kleesiek-discovering-2021/Tue, 01 Jun 2021 00:00:00 +0000https://mml.kite.ume.de/publications/kleesiek-discovering-2021/Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolismhttps://mml.kite.ume.de/publications/seibold-prediction-2021/Mon, 01 Feb 2021 00:00:00 +0000https://mml.kite.ume.de/publications/seibold-prediction-2021/Joint Imaging Platform for Federated Clinical Data Analyticshttps://mml.kite.ume.de/publications/scherer-joint-2020/Sun, 01 Nov 2020 00:00:00 +0000https://mml.kite.ume.de/publications/scherer-joint-2020/Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographshttps://mml.kite.ume.de/publications/seibold-self-guided-2020/Sun, 01 Nov 2020 00:00:00 +0000https://mml.kite.ume.de/publications/seibold-self-guided-2020/Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Studyhttps://mml.kite.ume.de/publications/kleesiek-can-2019/Tue, 01 Oct 2019 00:00:00 +0000https://mml.kite.ume.de/publications/kleesiek-can-2019/