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Arkadiusz Gertych
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2020 – today
- 2024
- [j27]Natalia Zurek
, Yi Zhang, Dermot P. B. McGovern, Ann E. Walts, Arkadiusz Gertych
Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease. Comput. Methods Programs Biomed. 257: 108423 (2024) - [j26]Arkadiusz Gertych, Oliver Faust:
AI explainability and bias propagation in medical decision support. Comput. Methods Programs Biomed. 257: 108465 (2024) - 2023
- [j25]Karolina Nurzynska, Dalin Li, Ann E. Walts, Arkadiusz Gertych
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. 234: 107518 (2023) - 2022
- [j24]Mariusz Marzec, Adam Piórkowski, Arkadiusz Gertych
Efficient automatic 3D segmentation of cell nuclei for high-content screening. BMC Bioinform. 23(1): 203 (2022) - [c14]Pawel Cyprys, Natalia Wylezol
Rigid and Elastic Registrations Benchmark on Re-stained Histologic Human Ileum Images. ITIB 2022: 271-284 - 2021
- [j23]Jaime Gallego, Zaneta Swiderska-Chadaj
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues. Comput. Medical Imaging Graph. 89: 101865 (2021) - [j22]Ewa Pietka, Arkadiusz Gertych
Advances in biomedical image processing. Comput. Medical Imaging Graph. 89: 101891 (2021) - 2020
- [j21]Mu Yang, Karolina Nurzynska, Ann E. Walts, Arkadiusz Gertych
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues. Comput. Medical Imaging Graph. 84: 101752 (2020) - [c13]Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma. Digital Pathology 2020: 113200D
2010 – 2019
- 2019
- [j20]Wenyuan Li
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. IEEE Trans. Medical Imaging 38(4): 945-954 (2019) - [c12]Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz
Contextual Classification of Tumor Growth Patterns in Digital Histology Slides. ITIB 2019: 13-25 - [i1]Jiayun Li
An attention-based multi-resolution model for prostate whole slide imageclassification and localization. CoRR abs/1905.13208 (2019) - 2018
- [j19]U. Rajendra Acharya
Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features. Comput. Biol. Medicine 94: 11-18 (2018) - [j18]U. Raghavendra, Anjan Gudigar, M. Maithri
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Comput. Biol. Medicine 95: 55-62 (2018) - [j17]Marcin Grzegorzek
Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance. Comput. Biol. Medicine 95: 234-235 (2018) - [j16]Ewa Pietka, Arkadiusz Gertych
Editorial: Special issue on advances in biomedical image processing. Comput. Medical Imaging Graph. 65: 1-3 (2018) - [j15]Jiayun Li
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. Comput. Medical Imaging Graph. 69: 125-133 (2018) - [j14]U. Rajendra Acharya
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. Future Gener. Comput. Syst. 79: 952-959 (2018) - [j13]Jen Hong Tan
Age-related Macular Degeneration detection using deep convolutional neural network. Future Gener. Comput. Syst. 87: 127-135 (2018) - [c11]Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot P. B. McGovern, Beatrice S. Knudsen, Arkadiusz Gertych
Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies. ITIB 2018: 379-392 - [c10]Adam Piórkowski
Color Normalization Approach to Adjust Nuclei Segmentation in Images of Hematoxylin and Eosin Stained Tissue. ITIB 2018: 393-406 - [c9]Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych
Semantic segmentation for prostate cancer grading by convolutional neural networks. Digital Pathology 2018: 105811B - 2017
- [j12]U. Rajendra Acharya
A deep convolutional neural network model to classify heartbeats. Comput. Biol. Medicine 89: 389-396 (2017) - [j11]U. Rajendra Acharya
Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques. Comput. Biol. Medicine 91: 13-20 (2017) - [c8]Jiayun Li, Karthik V. Sarma, King Chung Ho, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. AMIA 2017 - [c7]Zaneta Swiderska-Chadaj
A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides. MIUA 2017: 448-458 - 2016
- [j10]Arkadiusz Gertych
Foreword to the special issue on Information Technologies in Biomedicine. Comput. Biol. Medicine 69: 234-235 (2016) - [j9]Arkadiusz Gertych
Rapid 3-D delineation of cell nuclei for high-content screening platforms. Comput. Biol. Medicine 69: 328-338 (2016) - [c6]Nathan Ing, Sadri Salman, Zhaoxuan Ma, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych
Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas. ITIB (2) 2016: 193-206 - 2015
- [j8]Arkadiusz Gertych
Machine learning approaches to analyze histological images of tissues from radical prostatectomies. Comput. Medical Imaging Graph. 46: 197-208 (2015) - 2012
- [c5]Arkadiusz Gertych
Features of DNA Signals Codistribution in High-Content Screening of Drug-Induced Demethylation in Cancer Cells. ITIB 2012: 412-421 - 2010
- [c4]Arkadiusz Gertych
Automatic recognition of abnormal cells in cytological tests using multispectral imaging. Computer-Aided Diagnosis 2010: 762435
2000 – 2009
- 2008
- [c3]Arkadiusz Gertych
Quantitative assessment of multiple sclerosis lesion load using CAD and expert input. Computer-Aided Diagnosis 2008: 69151U - 2007
- [j7]Aifeng Zhang, Arkadiusz Gertych
Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones. Comput. Medical Imaging Graph. 31(4-5): 299-310 (2007) - [j6]Brent J. Liu, Maria Y. Y. Law, Jorge Documet, Arkadiusz Gertych
Image-assisted knowledge discovery and decision support in radiation therapy planning. Comput. Medical Imaging Graph. 31(4-5): 311-321 (2007) - [j5]Arkadiusz Gertych
Bone age assessment of children using a digital hand atlas. Comput. Medical Imaging Graph. 31(4-5): 322-331 (2007) - [j4]Arkadiusz Gertych
Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment. Pattern Anal. Appl. 10(2): 115-123 (2007) - [c2]Alexis Wong, Arkadiusz Gertych
A CAD system for assessment of MRI findings to track the progression of multiple sclerosis. Computer-Aided Diagnosis 2007: 65142U - 2005
- [c1]Arkadiusz Gertych, Ewa Pietka, H. K. Huang:
Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest. CORES 2005: 511-518 - 2004
- [j3]Ewa Pietka, Arkadiusz Gertych
Computer-Assisted Bone Age Assessment: Graphical User Interface for Image Processing and Comparison. J. Digit. Imaging 17(3): 175-188 (2004) - 2001
- [j2]Ewa Pietka, Sylwia Pospiech, Arkadiusz Gertych, Fei Cao, H. K. Huang, Vicente Gilsanz:
Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs. J. Digit. Imaging 14(4): 165-172 (2001) - [j1]Ewa Pietka, Arkadiusz Gertych
Computer Assisted Bone Age Assessment: Image Preprocessing and Epiphyseal/Metaphyseal ROI Extraction. IEEE Trans. Medical Imaging 20(8): 715-729 (2001)
Coauthor Index
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