Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs. - Ewa Pietka; Sylwia Pospiech; Arkadiusz Gertych; Fei Cao; H. K. Huang; Vicente Gilsanz (J. Digit. Imaging, 2001)

Computer Assisted Bone Age Assessment: Image Preprocessing and Epiphyseal/Metaphyseal ROI Extraction. - Ewa Pietka; Arkadiusz Gertych; Sylwia Pospiech; Fei Cao; H. K. Huang; Vicente Gilsanz (IEEE Trans. Medical Imaging, 2001)

Computer-Assisted Bone Age Assessment: Graphical User Interface for Image Processing and Comparison. - Ewa Pietka; Arkadiusz Gertych; Sylwia Pospiech-Kurkowska; Fei Cao; H. K. Huang; Vincente Gilzanz (J. Digit. Imaging, 2004)

Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest. - Arkadiusz Gertych; Ewa Pietka; H. K. Huang (CORES, 2005)

A CAD system for assessment of MRI findings to track the progression of multiple sclerosis. - Alexis Wong; Arkadiusz Gertych; Chi-Shing Zee; Bing Guo; Brent J. Liu (Computer-Aided Diagnosis, 2007)

Bone age assessment of children using a digital hand atlas. - Arkadiusz Gertych; Aifeng Zhang; James W. Sayre; Sylwia Pospiech-Kurkowska; H. K. Huang (Comput. Medical Imaging Graph., 2007)

Image-assisted knowledge discovery and decision support in radiation therapy planning. - Brent J. Liu; Maria Y. Y. Law; Jorge Documet; Arkadiusz Gertych (Comput. Medical Imaging Graph., 2007)

Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones. - Aifeng Zhang; Arkadiusz Gertych; Brent J. Liu (Comput. Medical Imaging Graph., 2007)

Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment. - Arkadiusz Gertych; Ewa Pietka; Brent J. Liu (Pattern Anal. Appl., 2007)

Quantitative assessment of multiple sclerosis lesion load using CAD and expert input. - Arkadiusz Gertych; Alexis Wong; Alan Sangnil; Brent J. Liu (Computer-Aided Diagnosis, 2008)

Automatic recognition of abnormal cells in cytological tests using multispectral imaging. - Arkadiusz Gertych; G. Galliano; S. Bose; D. L. Farkas (Computer-Aided Diagnosis, 2010)

Features of DNA Signals Codistribution in High-Content Screening of Drug-Induced Demethylation in Cancer Cells. - Arkadiusz Gertych (ITIB, 2012)

Machine learning approaches to analyze histological images of tissues from radical prostatectomies. - Arkadiusz Gertych; Nathan Ing; Zhaoxuan Ma; Thomas J. Fuchs; Sadri Salman; Sambit Mohanty; Sanica Bhele; Adriana Velásquez-Vacca; Mahul B. Amin; Beatrice S. Knudsen (Comput. Medical Imaging Graph., 2015)

Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas. - Nathan Ing; Sadri Salman; Zhaoxuan Ma; Ann E. Walts; Beatrice S. Knudsen; Arkadiusz Gertych (ITIB (2), 2016)

Rapid 3-D delineation of cell nuclei for high-content screening platforms. - Arkadiusz Gertych; Zhaoxuan Ma; Jian Tajbakhsh; Adriana Velásquez-Vacca; Beatrice S. Knudsen (Comput. Biol. Medicine, 2016)

Foreword to the special issue on Information Technologies in Biomedicine. - Arkadiusz Gertych; Ewa Pietka (Comput. Biol. Medicine, 2016)

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. - Jiayun Li; Karthik V. Sarma; King Chung Ho; Arkadiusz Gertych; Beatrice S. Knudsen; Corey W. Arnold (AMIA, 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 (MIUA, 2017)

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques. - U. Rajendra Acharya; Wei Lin Ng; Kartini Rahmat; K. Vidya Sudarshan; Joel E. W. Koh; Jen Hong Tan; Yuki Hagiwara; Arkadiusz Gertych; Farhana Fadzli; Chai Hong Yeong; Kwan Hoong Ng (Comput. Biol. Medicine, 2017)

A deep convolutional neural network model to classify heartbeats. - U. Rajendra Acharya; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Muhammad Adam; Arkadiusz Gertych; Ru-San Tan (Comput. Biol. Medicine, 2017)

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies. - Zhaoxuan Ma; Zaneta Swiderska-Chadaj; Nathan Ing; Hootan Salemi; Dermot P. B. McGovern; Beatrice S. Knudsen; Arkadiusz Gertych (ITIB, 2018)

Color Normalization Approach to Adjust Nuclei Segmentation in Images of Hematoxylin and Eosin Stained Tissue. - Adam Piórkowski; Arkadiusz Gertych (ITIB, 2018)

Semantic segmentation for prostate cancer grading by convolutional neural networks. - Nathan Ing; Zhaoxuan Ma; Jiayun Li; Hootan Salemi; Corey W. Arnold; Beatrice S. Knudsen; Arkadiusz Gertych (Digital Pathology, 2018)

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features. - U. Rajendra Acharya; Joel E. W. Koh; Yuki Hagiwara; Jen Hong Tan; Arkadiusz Gertych; Anushya Vijayananthan; Nur Adura Yaakup; Basri Johan Jeet Abdullah; Mohd Kamil Bin Mohd Fabell; Chai Hong Yeong (Comput. Biol. Medicine, 2018)

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance. - Marcin Grzegorzek; Arkadiusz Gertych; Georg Aumayr; Ewa Pietka (Comput. Biol. Medicine, 2018)

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. - U. Raghavendra; Anjan Gudigar; M. Maithri; Arkadiusz Gertych; Kristen M. Meiburger; Chai Hong Yeong; Chakri Madla; Pailin Kongmebhol; Filippo Molinari; Kwan Hoong Ng; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. - Jiayun Li; William Speier; King Chung Ho; Karthik V. Sarma; Arkadiusz Gertych; Beatrice S. Knudsen; Corey W. Arnold (Comput. Medical Imaging Graph., 2018)

Editorial: Special issue on advances in biomedical image processing. - Ewa Pietka; Arkadiusz Gertych (Comput. Medical Imaging Graph., 2018)

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; U. Raghavendra; Jen Hong Tan; Muhammad Adam; Arkadiusz Gertych; Yuki Hagiwara (Future Gener. Comput. Syst., 2018)

Age-related Macular Degeneration detection using deep convolutional neural network. - Jen Hong Tan; Sulatha V. Bhandary; Sobha Sivaprasad; Yuki Hagiwara; Akanksha Bagchi; U. Raghavendra; A. Krishna Rao; Biju Raju; Nitin Shridhara Shetty; Arkadiusz Gertych; Kuang Chua Chua; U. Rajendra Acharya (Future Gener. Comput. Syst., 2018)

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 (ITIB, 2019)

An attention-based multi-resolution model for prostate whole slide imageclassification and localization. - Jiayun Li; Wenyuan Li 001; Arkadiusz Gertych; Beatrice S. Knudsen; William Speier; Corey W. Arnold (CoRR, 2019)

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. - Wenyuan Li 001; Jiayun Li; Karthik V. Sarma; King Chung Ho; Shiwen Shen; Beatrice S. Knudsen; Arkadiusz Gertych; Corey W. Arnold (IEEE Trans. Medical Imaging, 2019)

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

A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues. - Mu Yang; Karolina Nurzynska; Ann E. Walts; Arkadiusz Gertych (Comput. Medical Imaging Graph., 2020)

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues. - Jaime Gallego; Zaneta Swiderska-Chadaj; Tomasz Markiewicz; Michifumi Yamashita; M. Alejandra Gabaldon; Arkadiusz Gertych (Comput. Medical Imaging Graph., 2021)

Advances in biomedical image processing. - Ewa Pietka; Arkadiusz Gertych (Comput. Medical Imaging Graph., 2021)

Rigid and Elastic Registrations Benchmark on Re-stained Histologic Human Ileum Images. - Pawel Cyprys; Natalia Wylezol; Adrianna Jagodzinska; Julia Uzdowska; Bartlomiej Pycinski; Arkadiusz Gertych (ITIB, 2022)

Efficient automatic 3D segmentation of cell nuclei for high-content screening. - Mariusz Marzec; Adam Piórkowski; Arkadiusz Gertych (BMC Bioinform., 2022)

Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB). - Karolina Nurzynska; Dalin Li; Ann E. Walts; Arkadiusz Gertych (Comput. Methods Programs Biomed., 2023)

AI explainability and bias propagation in medical decision support. - Arkadiusz Gertych; Oliver Faust (Comput. Methods Programs Biomed., 2024)

Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease. - Natalia Zurek; Yi Zhang; Dermot P. B. McGovern; Ann E. Walts; Arkadiusz Gertych (Comput. Methods Programs Biomed., 2024)

AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases. - Michifumi Yamashita; Natalia Piaseczna; Akira Takahashi; Daisuke Kiyozawa; Narihito Tatsumoto; Shohei Kaneko; Natalia Zurek; Arkadiusz Gertych (Comput. Methods Programs Biomed., 2025)

Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. - Massimo Salvi; Silvia Seoni; Andrea Campagner; Arkadiusz Gertych; U. Rajendra Acharya; Filippo Molinari; Federico Cabitza (Int. J. Medical Informatics, 2025)