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Karol Borkowski

Showing results (11-20 of 25) with videos related to

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Insights Into Imaging|May 18, 2023
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networksPatryk Hejduk, Raphael Sexauer, Carlotta Ruppert, et al.
European Radiology|July 15, 2025
Enhancing breast positioning quality through real-time AI feedbackRaphael Sexauer, Friederike Riehle, Karol Borkowski, et al.
Journal of Clinical Microbiology|September 29, 2006
Association of ocular toxoplasmosis with type I Toxoplasma gondii strains: direct genotyping from peripheral blood samplesKarolina Switaj, Adam Master, Piotr Karol Borkowski, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|February 24, 2015
Do pregnancy, postpartum period and lactation predispose to recurrent toxoplasmic retinochoroiditis?Joanna Brydak-Godowska, Piotr Karol Borkowski, Daniel Rabczenko, et al.
European Radiology|February 11, 2022
Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural networkPatryk Hejduk, Magda Marcon, Jan Unkelbach, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
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?Anna Landsmann, Jann Wieler, Patryk Hejduk, et al.
European Radiology|March 1, 2023
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networksRaphael Sexauer, Patryk Hejduk, Karol Borkowski, et al.
Clinical Imaging|January 5, 2023
Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principleAnna Landsmann, Carlotta Ruppert, Karol Borkowski, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural NetworkFrederik Abel, Anna Landsmann, Patryk Hejduk, 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.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Insights Into Imaging|May 18, 2023
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networksPatryk Hejduk, Raphael Sexauer, Carlotta Ruppert, et al.
European Radiology|July 15, 2025
Enhancing breast positioning quality through real-time AI feedbackRaphael Sexauer, Friederike Riehle, Karol Borkowski, et al.
Journal of Clinical Microbiology|September 29, 2006
Association of ocular toxoplasmosis with type I Toxoplasma gondii strains: direct genotyping from peripheral blood samplesKarolina Switaj, Adam Master, Piotr Karol Borkowski, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|February 24, 2015
Do pregnancy, postpartum period and lactation predispose to recurrent toxoplasmic retinochoroiditis?Joanna Brydak-Godowska, Piotr Karol Borkowski, Daniel Rabczenko, et al.
European Radiology|February 11, 2022
Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural networkPatryk Hejduk, Magda Marcon, Jan Unkelbach, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
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?Anna Landsmann, Jann Wieler, Patryk Hejduk, et al.
European Radiology|March 1, 2023
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networksRaphael Sexauer, Patryk Hejduk, Karol Borkowski, et al.
Clinical Imaging|January 5, 2023
Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principleAnna Landsmann, Carlotta Ruppert, Karol Borkowski, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural NetworkFrederik Abel, Anna Landsmann, Patryk Hejduk, 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.
Pageof 3