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ORCIDAI and ML for Digital Pathology, 2020
- Andreas Holzinger
, Randy Goebel, Michael Mengel, Heimo Müller:
Artificial Intelligence and Machine Learning for Digital Pathology - State-of-the-Art and Future Challenges. Lecture Notes in Computer Science 12090, Springer 2020, ISBN 978-3-030-50401-4 - Peter Regitnig, Heimo Müller, Andreas Holzinger:
Expectations of Artificial Intelligence for Pathology. 1-15 - Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller:
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. 16-37 - Horst Pichler, Johann Eder:
Supporting the Donation of Health Records to Biobanks for Medical Research. 38-55 - Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in Digital Pathology. 56-88 - Christiane Hartfeldt, Verena Huth, Sabrina Schmitt, Bettina Meinung, Peter Schirmacher, Michael Kiehntopf, Cornelia Specht, Michael Hummel:
Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks. 89-94 - Yoichi Hayashi:
Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances. 95-101 - Michaela Kargl, Peter Regitnig, Heimo Müller, Andreas Holzinger:
Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration. 102-117 - Björn Lindequist, Norman Zerbe, Peter Hufnagl:
OBDEX - Open Block Data Exchange System. 118-135 - Sarni Suhaila Rahim, Vasile Palade, Andreas Holzinger:
Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review. 136-154 - Klaus Strohmenger, Christian Herta, Oliver Fischer, Jonas Annuscheit, Peter Hufnagl:
Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology. 155-174 - Pedro Furtado:
Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets. 175-194 - Zisis Kozlakidis:
Biobanks and Biobank-Based Artificial Intelligence (AI) Implementation Through an International Lens. 195-203 - Akif Burak Tosun, Filippo Pullara, Michael J. Becich, D. Lansing Taylor, S. Chakra Chennubhotla, Jeffrey L. Fine:
HistoMapr™: An Explainable AI (xAI) Platform for Computational Pathology Solutions. 204-227 - Norman Zerbe, Christopher Hampf, Peter Hufnagl:
Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets. 228-245 - Soufiane El Hallani, Calum MacAulay, Martial Guillaud:
Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers. 246-263 - Norman Zerbe, Alexander Alekseychuk, Peter Hufnagl:
Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners. 264-278 - Nassima Dif, Zakaria Elberrichi:
Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review. 279-306 - Shane O'Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione:
Developments in AI and Machine Learning for Neuroimaging. 307-320 - Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Andreas Holzinger:
Fuzzy Image Processing and Deep Learning for Microaneurysms Detection. 321-339
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