Hasil Pencarian - Alexander Ciritsis

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  1. 1
    Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?

    Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density... oleh Anna Landsmann, Jann Wieler, Patryk Hejduk, Alexander Ciritsis, Karol Borkowski, Cristina Rossi, Andreas Boss

    Diterbitkan 2022-01-01
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  2. 2
    Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study

    Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study oleh Matthias Choschzick, Mariam Alyahiaoui, Alexander Ciritsis, Cristina Rossi, André Gut, Patryk Hejduk, Andreas Boss

    Diterbitkan 2021-07-01
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  3. 3
    Correction: Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients.

    Correction: Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients. oleh Alexander Ciritsis, Daniel Truhn, Nienke L Hansen, Jens Otto, Christiane K Kuhl, Nils A Kraemer

    Diterbitkan 2016-01-01
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  4. 4
    Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients.

    Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients. oleh Alexander Ciritsis, Daniel Truhn, Nienke L Hansen, Jens Otto, Christiane K Kuhl, Nils A Kraemer

    Diterbitkan 2016-01-01
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  5. 5
    Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

    Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network oleh Frederik Abel, Anna Landsmann, Patryk Hejduk, Carlotta Ruppert, Karol Borkowski, Alexander Ciritsis, Cristina Rossi, Andreas Boss

    Diterbitkan 2022-05-01
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  6. 6
    BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

    BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network oleh Albin Sabani, Anna Landsmann, Patryk Hejduk, Cynthia Schmidt, Magda Marcon, Karol Borkowski, Cristina Rossi, Alexander Ciritsis, Andreas Boss

    Diterbitkan 2022-06-01
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  7. 7
    Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification

    Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification oleh Anna Landsmann, Carlotta Ruppert, Jann Wieler, Patryk Hejduk, Alexander Ciritsis, Karol Borkowski, Moritz C. Wurnig, Cristina Rossi, Andreas Boss

    Diterbitkan 2022-07-01
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  8. 8
    Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

    Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI oleh Sylwia Nowakowska, Karol Borkowski, Carlotta M. Ruppert, Anna Landsmann, Magda Marcon, Nicole Berger, Andreas Boss, Alexander Ciritsis, Cristina Rossi

    Diterbitkan 2023-11-01
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  9. 9
    Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

    Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study oleh Magda Marcon, Alexander Ciritsis, Cristina Rossi, Anton S. Becker, Nicole Berger, Moritz C. Wurnig, Matthias W. Wagner, Thomas Frauenfelder, Andreas Boss

    Diterbitkan 2019-11-01
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  10. 10
    Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

    Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake oleh Sylwia Nowakowska, Karol Borkowski, Carlotta Ruppert, Patryk Hejduk, Alexander Ciritsis, Anna Landsmann, Magda Marcon, Nicole Berger, Andreas Boss, Cristina Rossi

    Diterbitkan 2024-05-01
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  11. 11
    Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network

    Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network oleh Tician Schnitzler, Carlotta Ruppert, Patryk Hejduk, Karol Borkowski, Jonas Kajüter, Cristina Rossi, Alexander Ciritsis, Anna Landsmann, Hasan Zaytoun, Andreas Boss, Sebastian Schindera, Felice Burn

    Diterbitkan 2024-06-01
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