A. Gertych

发表

Shear Wave Elastography for Characterization of Breast Lesions : Shearlet Transform and Local Binary Pattern Histogram Techn

Vidya K. Sudarshan, Wei Lin Ng, J. Tan, 2017 .

Why do we need better omics in the breast cancer care?

A. Gertych, S. Shiao, 2021, EBioMedicine.

Nuclear DNA Methylation and Chromatin Condensation Phenotypes Are Distinct Between Normally Proliferating/Aging, Rapidly Growing/Immortal, and Senescent Cells

A. Gertych, J. Oh, J. Tajbakhsh, 2013, Oncotarget.

Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment

D. Farkas, A. Gertych, K. Wawrowsky, 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

RIPK2 Stabilizes c-Myc and is an Actionable Target for Inhibiting Prostate Cancer Metastasis

Wei Yang, M. Freeman, N. Kyprianou, 2020, bioRxiv.

SEGMENTATION OF LATERAL VENTRICLES FOR MONITORING OF PATIENT ’ S STATUS WITH NORMAL PRESSURE HYDROCEPHALUS

A. Gertych, Alexis Wong, 2006 .

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance

Marcin Grzegorzek, Ewa Pietka, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Data integration from pathology slides for quantitative imaging of multiple cell types within the tumor immune cell infiltrate

B. Knudsen, A. Gertych, S. Shiao, 2017, Diagnostic Pathology.

3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas

Y. Yagi, A. Gertych, A. Walts, 2020 .

Quantitative imaging for development of companion diagnostics to drugs targeting HGF/MET

B. Berman, A. Marchevsky, S. Feller, 2016, The journal of pathology. Clinical research.

Homogeneity Assessment of Cell Populations for High Content Screening Platforms

A. Gertych, J. Tajbakhsh, Arkadiusz Gertych, 2010 .

3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models

D. Weisenberger, A. Gertych, K. Wawrowsky, 2013, BMC Pharmacology and Toxicology.

Early In Vitro Differentiation of Mouse Definitive Endoderm Is Not Correlated with Progressive Maturation of Nuclear DNA Methylation Patterns

A. Gertych, J. Fair, J. Tajbakhsh, 2011, PloS one.

A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome

R. Figlin, M. Amin, B. Knudsen, 2017, Scientific Reports.

Treatment of clinically nonfunctioning pituitary adenomas with dopamine agonists.

Z. Ram, S. Melmed, I. Shimon, 2016, European journal of endocrinology.

A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk

I. Ellis, E. Rakha, M. Toss, 2019, Breast Cancer Research.

Computational pathology in ovarian cancer

S. Orsulic, A. Gertych, A. Walts, 2022, Frontiers in Oncology.

Focal Serous Tubal Intra-Epithelial Carcinoma Lesions Are Associated With Global Changes in the Fallopian Tube Epithelia and Stroma

B. Karlan, S. Orsulic, A. Gertych, 2022, Frontiers in Oncology.

Efficient automatic 3D segmentation of cell nuclei for high-content screening

A. Gertych, A. Piórkowski, Mariusz Marzec, 2022, BMC Bioinformatics.

A structural and functional acromegaly classification.

A. Mamelak, S. Melmed, A. Gertych, 2015, The Journal of clinical endocrinology and metabolism.

Effects of tissue decalcification on the quantification of breast cancer biomarkers by digital image analysis

B. Knudsen, A. Gertych, S. Mohanty, 2014, Diagnostic Pathology.

Receptor-interacting protein kinase 2 (RIPK2) stabilizes c-Myc and is a therapeutic target in prostate cancer metastasis

D. Di Vizio, Wei Yang, M. Freeman, 2022, Nature Communications.

A deep convolutional neural network model to classify heartbeats

U. Rajendra Acharya, Arkadiusz Gertych, Yuki Hagiwara, 2017, Comput. Biol. Medicine.

Age-related Macular Degeneration detection using deep convolutional neural network

U. Raghavendra, U. Rajendra Acharya, Sulatha V. Bhandary, 2018, Future Gener. Comput. Syst..

Automated Detection of Dual p16/Ki67 Nuclear Immunoreactivity in Liquid-Based Pap Tests for Improved Cervical Cancer Risk Stratification

Anika O. Joseph, S. Bose, A. Gertych, 2012, Annals of Biomedical Engineering.

Receptor-interacting protein kinase 2 (RIPK2) stabilizes c-Myc and is a therapeutic target in prostate cancer metastasis

D. Di Vizio, Wei Yang, M. Freeman, 2022, Nature Communications.

Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes

Jayoung Kim, R. Krishnan, K. Rajendran, 2015, Scientific Reports.

The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment

Kevin Ma, Paymann Moin, Brent Liu, 2009, Medical Imaging.

Spatial Mapping of Myeloid Cells and Macrophages by Multiplexed Tissue Staining

Arkadiusz Gertych, Fangjin Huang, Beatrice S. Knudsen, 2018, Front. Immunol..

Characterization of tumor cells and stem cells by differential nuclear methylation imaging

Daniel L. Farkas, Arkadiusz Gertych, Erik H. Lindsley, 2008, SPIE BiOS.

Measuring topology of low-intensity DNA methylation sites for high-throughput assessment of epigenetic drug-induced effects in cancer cells.

Arkadiusz Gertych, Jian Tajbakhsh, Daniel L Farkas, 2010, Experimental cell research.

Features of DNA Signals Codistribution in High-Content Screening of Drug-Induced Demethylation in Cancer Cells

Arkadiusz Gertych, A. Gertych, Arkadiusz Gertych, 2012, ITIB.

Computerized delineation of nuclei in liquid‐based Pap smears stained with immunohistochemical biomarkers

Arkadiusz Gertych, Ann E Walts, Beatrice S Knudsen, 2014, Cytometry. Part B, Clinical cytometry.

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

Tomasz Markiewicz, Arkadiusz Gertych, Nathan Ing, 2019, Scientific Reports.

Advances in biomedical image processing

Ewa Pietka, Arkadiusz Gertych, E. Pietka, 2021, Comput. Medical Imaging Graph..

Neoadjuvant dasatinib for muscle-invasive bladder cancer with tissue analysis of biologic activity.

G. Sonpavde, M. Galsky, Liang Cheng, 2016, Urologic oncology.

Directing iPSC Differentiation into iTenocytes using Combined Scleraxis Overexpression and Cyclic Loading

A. Gertych, D. Sheyn, Tina Stefanovic, 2021, bioRxiv.

Dynamic Changes in the Extracellular Matrix in Primary, Metastatic, and Recurrent Ovarian Cancers

B. Karlan, S. Orsulic, A. Gertych, 2022, Cells.

Bone age assessment for young children from newborn to 7-year-old using carpal bones

Aifeng Zhang, Brent Liu, Arkadiusz Gertych, 2007, SPIE Medical Imaging.

Predicting Metastasis Risk in Pancreatic Neuroendocrine Tumors Using Deep Learning Image Analysis

E. Rakha, R. Graham, R. Aneja, 2021, Frontiers in Oncology.

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies

Arkadiusz Gertych, William Speier, Corey W. Arnold, 2018, Comput. Medical Imaging Graph..

Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction

H. K. Huang, Fei Cao, Ewa Pietka, 2001, IEEE Transactions on Medical Imaging.

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, 2018, Future Gener. Comput. Syst..

A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues

Karolina Nurzynska, Arkadiusz Gertych, Mu Yang, 2020, Comput. Medical Imaging Graph..

Bone age assessment of children using a digital hand atlas

H. K. Huang, Aifeng Zhang, Sylwia Pospiech-Kurkowska, 2007, Comput. Medical Imaging Graph..

Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).

A. Gertych, Dalin Li, K. Nurzynska, 2023, Computer methods and programs in biomedicine.

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

T. Markiewicz, B. Knudsen, A. Gertych, 2019, Scientific Reports.

A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome

R. Figlin, M. Amin, B. Knudsen, 2017, Scientific Reports.

Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

U. Rajendra Acharya, Oliver Faust, Arkadiusz Gertych, 2020, Applied Sciences.

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies

Arkadiusz Gertych, Corey W. Arnold, Beatrice S. Knudsen, 2017, AMIA.

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images

Wenyuan Li, Arkadiusz Gertych, Shiwen Shen, 2019, IEEE Transactions on Medical Imaging.

Automated Detection of Dual p16/Ki67 Nuclear Immunoreactivity in Liquid-Based Pap Tests for Improved Cervical Cancer Risk Stratification

Arkadiusz Gertych, Ann E. Walts, Anika O. Joseph, 2012, Annals of Biomedical Engineering.

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques

U. Rajendra Acharya, Kwan Hoong Ng, Chai Hong Yeong, 2017, Comput. Biol. Medicine.

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features

U. Rajendra Acharya, Chai Hong Yeong, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Automatic recognition of abnormal cells in cytological tests using multispectral imaging

Arkadiusz Gertych, S. Bose, G. Galliano, 2010, Medical Imaging.

Directing iPSC Differentiation into iTenocytes using Combined Scleraxis Overexpression and Cyclic Loading

A. Gertych, D. Sheyn, Tina Stefanovic, 2021, bioRxiv.

Integration of computer assisted bone age assessment with clinical PACS.

Fei Cao, Ewa Pietka, Sylwia Pospiech-Kurkowska, 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues

Tomasz Markiewicz, Arkadiusz Gertych, Zaneta Swiderska-Chadaj, 2021, Comput. Medical Imaging Graph..

Rapid 3-D delineation of cell nuclei for high-content screening platforms

Arkadiusz Gertych, Zhaoxuan Ma, Beatrice S. Knudsen, 2016, Comput. Biol. Medicine.

Semantic segmentation for prostate cancer grading by convolutional neural networks

Arkadiusz Gertych, Corey W. Arnold, Nathan Ing, 2018, Medical Imaging.

Editorial: Special issue on advances in biomedical image processing

Ewa Pietka, Arkadiusz Gertych, E. Pietka, 2018, Comput. Medical Imaging Graph..

Multi-Patch Blending improves lung cancer growth pattern segmentation in whole-slide images

Arkadiusz Gertych, Francesco Ciompi, Zaneta Swiderska-Chadaj, 2020, 2020 IEEE 21st International Conference on Computational Problems of Electrical Engineering (CPEE).

Machine learning approaches to analyze histological images of tissues from radical prostatectomies

Arkadiusz Gertych, Thomas J. Fuchs, Nathan Ing, 2015, Comput. Medical Imaging Graph..

Image-assisted knowledge discovery and decision support in radiation therapy planning

Arkadiusz Gertych, Jorge Documet, Brent J. Liu, 2007, Comput. Medical Imaging Graph..

An attention-based multi-resolution model for prostate whole slide imageclassification and localization pdf

Arkadiusz Gertych, William Speier, Corey W. Arnold, 2019, ArXiv.

Efficient automatic 3D segmentation of cell nuclei for high-content screening

A. Gertych, A. Piórkowski, Mariusz Marzec, 2022, BMC Bioinform..

iPSC‐derived tenocytes seeded on microgrooved 3D printed scaffolds for Achilles tendon regeneration

W. Tawackoli, A. Gertych, M. Metzger, 2023, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.