| The explainability paradox: Challenges for xAI in digital pathology T Evans, CO Retzlaff, C Geißler, M Kargl, M Plass, H Müller, TR Kiehl, ... Future Generation Computer Systems 133, 281-296, 2022 | 112 | 2022 |
| Personas for artificial intelligence (AI) an open source toolbox A Holzinger, M Kargl, B Kipperer, P Regitnig, M Plass, H Müller IEEE Access 10, 23732-23747, 2022 | 52 | 2022 |
| Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ... Modern Pathology 35 (12), 1759-1769, 2022 | 50 | 2022 |
| Explainability and causability in digital pathology M Plass, M Kargl, TR Kiehl, P Regitnig, C Geißler, T Evans, N Zerbe, ... The Journal of Pathology: Clinical Research 9 (4), 251-260, 2023 | 41 | 2023 |
| A literature review on ethics for AI in biomedical research and biobanking M Kargl, M Plass, H Müller Yearbook of Medical Informatics 31 (01), 152-160, 2022 | 41 | 2022 |
| Towards a deeper understanding of how a pathologist makes a diagnosis: Visualization of the diagnostic process in histopathology B Pohn, M Kargl, R Reihs, A Holzinger, K Zatloukal, H Müller 2019 IEEE Symposium on Computers and Communications (ISCC), 1081-1086, 2019 | 16 | 2019 |
| Towards a better understanding of the workflows: Modeling pathology processes in view of future AI integration M Kargl, P Regitnig, H Müller, A Holzinger Artificial intelligence and machine learning for digital pathology: state-of …, 2020 | 11 | 2020 |
| Understanding and explaining diagnostic paths: toward augmented decision making M Plass, M Kargl, P Nitsche, E Jungwirth, A Holzinger, H Müller IEEE Computer Graphics and Applications 42 (6), 47-57, 2022 | 9 | 2022 |
| Towards a taxonomy for explainable AI in computational pathology H Müller, M Kargl, M Plass, B Kipperer, L Brcic, P Regitnig, C Geißler, ... Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership …, 2022 | 7 | 2022 |
| Human-AI interfaces are a central component of trustworthy AI M Plass, M Kargl, T Evans, L Brcic, P Regitnig, C Geißler, R Carvalho, ... Explainable AI: Foundations, Methodologies and Applications, 225-256, 2022 | 4 | 2022 |
| Principles of Successful High Quality Public Transport Operation and Development PG Andersson, M Gibrand, L Fredriksson, S Krug, D Meinhard, M Kargl, ... Directorate General for Energy and Transport, 2009 | 2 | 2009 |
| EP11. 02-002 A Comparative Study of PD-L1 Scoring: Humans versus AI M Plass, S Dacic, I Kern, M Zacharias, H Popper, J Fukuoka, M Kargl, ... Journal of Thoracic Oncology 17 (9), S515, 2022 | | 2022 |
| Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology (Modern Pathology,(2022), 35, 12,(1759-1769 … A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ... | | 2022 |
