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Patryk Hejduk

Showing results (11-20 of 14) with videos related to

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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.
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.
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.
Journal of Imaging|June 26, 2024
Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural NetworkTician Schnitzler, Carlotta Ruppert, Patryk Hejduk, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
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.
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.
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.
Journal of Imaging|June 26, 2024
Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural NetworkTician Schnitzler, Carlotta Ruppert, Patryk Hejduk, et al.
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