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)

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)

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)

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)

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)