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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 4

Zeitschriftenartikel

Muehlberg, Alexander; Holch, Julian W.; Heinemann, Volker; Huber, Thomas; Moltz, Jan; Maurus, Stefan; Jaeger, Nils; Liu, Lian; Froelich, Matthias F.; Katzmann, Alexander; Gresser, Eva; Taubmann, Oliver; Suehling, Michael und Noerenberg, Dominik (2020): The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer. In: European Radiology, Bd. 31, Nr. 2: S. 834-846

Woznicki, Piotr; Westhoff, Niklas; Huber, Thomas; Riffel, Philipp; Froelich, Matthias F.; Gresser, Eva; Hardenberg, Jost von; Muehlberg, Alexander; Michel, Maurice Stephan; Schoenberg, Stefan O. und Noerenberg, Dominik (2020): Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters. In: Cancers, Bd. 12, Nr. 7, 1767

Katzmann, Alexander; Muehlberg, Alexander; Suehling, Michael; Noerenberg, Dominik; Holch, Julian Walter und Gross, Horst-Michael (2020): DEEP RANDOM FORESTS FOR SMALL SAMPLE SIZE PREDICTION WITH MEDICAL IMAGING DATA. In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020): S. 1543-1547

Katzmann, Alexander; Muehlberg, Alexander; Suehling, Michael; Noerenberg, Dominik und Gross, Horst-Michael (2019): DEEP METAMEMORY - A GENERIC FRAMEWORK FOR STABILIZED ONE-SHOT CONFIDENCE ESTIMATION IN DEEP NEURAL NETWORKS AND ITS APPLICATION ON COLORECTAL CANCER LIVER METASTASES GROWTH PREDICTION. In: 2019 Ieee 16Th International Symposium on Biomedical Imaging (Isbi 2019): S. 1298-1302

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