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NMR in Biomedicine|August 10, 2019
Diffusion tensor imaging of the abdominal organs: Influence of oriented intravoxel flow compartmentsValerie Phi van, Caecilia S Reiner, Markus Klarhoefer, et al.
Medicine|July 25, 2020
Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approachKarol Borkowski, Cristina Rossi, Alexander Ciritsis, et al.
Clinical Imaging|November 24, 2022
Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkersAnna Landsmann, Carlotta Ruppert, Sylwia Nowakowska, et al.
The British Journal of Radiology|September 14, 2018
Determination of mammographic breast density using a deep convolutional neural networkAlexander Ciritsis, Cristina Rossi, Ilaria Vittoria De Martini, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural NetworkAlbin Sabani, Anna Landsmann, Patryk Hejduk, et al.
Bioengineering (Basel, Switzerland)|June 27, 2024
Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent UptakeSylwia Nowakowska, Karol Borkowski, Carlotta Ruppert, et al.
European Radiology Experimental|July 19, 2022
Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classificationAnna Landsmann, Carlotta Ruppert, Jann Wieler, et al.
Insights Into Imaging|November 6, 2023
Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRISylwia Nowakowska, Karol Borkowski, Carlotta M Ruppert, et al.
Investigative Radiology|March 22, 2014
Time-dependent changes of magnetic resonance imaging-visible mesh implants in patientsAlexander Ciritsis, Nienke Lynn Hansen, Alexandra Barabasch, et al.
European Radiology Experimental|November 3, 2019
Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot studyMagda Marcon, Alexander Ciritsis, Cristina Rossi, et al.
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