Arkadiusz Gertych

Orcid: 0000-0002-3107-602X

According to our database1, Arkadiusz Gertych authored at least 42 papers between 2001 and 2024.

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Bibliography

2024
Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease.
Comput. Methods Programs Biomed., 2024

AI explainability and bias propagation in medical decision support.
Comput. Methods Programs Biomed., 2024

2023
Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).
Comput. Methods Programs Biomed., June, 2023

2022
Efficient automatic 3D segmentation of cell nuclei for high-content screening.
BMC Bioinform., 2022

Rigid and Elastic Registrations Benchmark on Re-stained Histologic Human Ileum Images.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

2021
Advances in biomedical image processing.
Comput. Medical Imaging Graph., 2021

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues.
Comput. Medical Imaging Graph., 2021

2020
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues.
Comput. Medical Imaging Graph., 2020

A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.
IEEE Trans. Medical Imaging, 2019

An attention-based multi-resolution model for prostate whole slide imageclassification and localization.
CoRR, 2019

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides.
Proceedings of the Information Technology in Biomedicine, 2019

2018
Age-related Macular Degeneration detection using deep convolutional neural network.
Future Gener. Comput. Syst., 2018

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
Future Gener. Comput. Syst., 2018

Editorial: Special issue on advances in biomedical image processing.
Comput. Medical Imaging Graph., 2018

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.
Comput. Medical Imaging Graph., 2018

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.
Comput. Biol. Medicine, 2018

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance.
Comput. Biol. Medicine, 2018

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features.
Comput. Biol. Medicine, 2018

Semantic segmentation for prostate cancer grading by convolutional neural networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Color Normalization Approach to Adjust Nuclei Segmentation in Images of Hematoxylin and Eosin Stained Tissue.
Proceedings of the Information Technology in Biomedicine, 2018

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies.
Proceedings of the Information Technology in Biomedicine, 2018

2017
A deep convolutional neural network model to classify heartbeats.
Comput. Biol. Medicine, 2017

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques.
Comput. Biol. Medicine, 2017

A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.
Proceedings of the AMIA 2017, 2017

2016
Foreword to the special issue on Information Technologies in Biomedicine.
Comput. Biol. Medicine, 2016

Rapid 3-D delineation of cell nuclei for high-content screening platforms.
Comput. Biol. Medicine, 2016

Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015
Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Comput. Medical Imaging Graph., 2015

2012
Features of DNA Signals Codistribution in High-Content Screening of Drug-Induced Demethylation in Cancer Cells.
Proceedings of the Information Technologies in Biomedicine, 2012

2010
Automatic recognition of abnormal cells in cytological tests using multispectral imaging.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2008
Quantitative assessment of multiple sclerosis lesion load using CAD and expert input.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2007
Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment.
Pattern Anal. Appl., 2007

Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones.
Comput. Medical Imaging Graph., 2007

Image-assisted knowledge discovery and decision support in radiation therapy planning.
Comput. Medical Imaging Graph., 2007

Bone age assessment of children using a digital hand atlas.
Comput. Medical Imaging Graph., 2007

A CAD system for assessment of MRI findings to track the progression of multiple sclerosis.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

2005
Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest.
Proceedings of the Computer Recognition Systems, 2005

2004
Computer-Assisted Bone Age Assessment: Graphical User Interface for Image Processing and Comparison.
J. Digit. Imaging, 2004

2001
Computer Assisted Bone Age Assessment: Image Preprocessing and Epiphyseal/Metaphyseal ROI Extraction.
IEEE Trans. Medical Imaging, 2001

Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs.
J. Digit. Imaging, 2001


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