Malgorzata Lorent

According to our database, Malgorzata Lorent authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improvement of renal image recognition through resolution enhancement.

Aleksandra Maria Osowska-Kurczab, Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent, Szczepan Cierniak, Danilo Costarelli, Marco Seracini, Gianluca Vinti

Expert Syst. Appl., 2023

2022

HE-to-PAS histological stain conversion by GAN in renal pathology.

Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Adaptive two-way sweeping method to 3D kidney reconstruction.

Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent

Biomed. Signal Process. Control., 2021

Kidney segmentation from computed tomography images using U-Net and batch-based synthesis.

Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Three-Dimensional Volumetric Renal Reconstruction Based on Geometrical Coefficients.

Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Textural and deep learning methods in recognition of renal cancer types based on CT images.

Aleksandra Maria Osowska-Kurczab, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Axis projection for Kidney-Region-Of-Interest detection in computed tomography.

Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides.

Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Information Technology in Biomedicine, 2019

2017

A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides.

Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent, Arkadiusz Gertych

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017