Patryk Hejduk

Zurich, ZH 8091, Switzerland

Last Updated: 09/26/2026

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Found 13 publications

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.

Journal: Journal of imaging
Published: May 02, 2024

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.

Journal: Bioengineering (Basel, Switzerland)
Published: February 15, 2024

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.

Journal: Clinical imaging
Published: November 12, 2022

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.

Journal: Insights into imaging
Published: November 03, 2022

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.

Journal: European radiology
Published: June 17, 2022

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.

Journal: Diagnostics (Basel, Switzerland)
Published: May 31, 2022

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.

Journal: Diagnostics (Basel, Switzerland)
Published: April 10, 2022

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.

Journal: European radiology experimental
Published: December 16, 2021

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?

Journal: Diagnostics (Basel, Switzerland)
Published: November 12, 2021

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.

Journal: European radiology
Published: May 12, 2021

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.

Journal: Heliyon
Published: January 15, 2021

Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network: A BI-RADS-Based Approach.

Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network: A BI-RADS-Based Approach.

Journal: Investigative radiology
Published: October 10, 2020
Showing 1-12 of 13

Last Updated: 09/26/2026