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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 6

Zeitschriftenartikel

Enke, Johanna S.; Moltz, Jan H.; D'Anastasi, Melvin; Kunz, Wolfgang G.; Schmidt, Christian; Maurus, Stefan; Mühlberg, Alexander; Katzmann, Alexander; Sühling, Michael; Hahn, Horst; Nörenberg, Dominik und Huber, Thomas (2022): Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation. In: Cancers, Bd. 14, Nr. 3 [PDF, 1MB]

Gebauer, Leonie; Moltz, Jan H.; Mühlberg, Alexander; Holch, Julian W.; Huber, Thomas; Enke, Johanna; Jäger, Nils; Haas, Michael; Kruger, Stephan; Boeck, Stefan; Sühling, Michael; Katzmann, Alexander; Hahn, Horst; Kunz, Wolfgang G.; Heinemann, Volker; Noerenberg, Dominik und Maurus, Stefan (2021): Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer. In: Cancers, Bd. 13, Nr. 22, 5732

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

Mühlberg, Alexander; Katzmann, Alexander; Heinemann, Volker; Kärgel, Rainer; Wels, Michael; Taubmann, Oliver; Lades, Felix; Huber, Thomas; Maurus, Stefan; Holch, Julian; Faivre, Jean-Baptiste; Sühling, Michael; Nörenberg, Dominik und Remy-Jardin, Martine (2020): The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research. In: Scientific Reports, Bd. 10, Nr. 1, 1103 [PDF, 3MB]

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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