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Jackson, Heather R; Zandstra, Judith; Menikou, Stephanie; Hamilton, Melissa Shea; McArdle, Andrew J; Fischer, Roman; Thorne, Adam M; Huang, Honglei; Tanck, Michael W; Jansen, Machiel H; De, Tisham; Agyeman, Philipp K A; von Both, Ulrich; Carrol, Enitan D; Emonts, Marieke; Eleftheriou, Irini; Van der Flier, Michiel; Fink, Colin; Gloerich, Jolein; De Groot, Ronald; Moll, Henriette A; Pokorn, Marko; Pollard, Andrew J; Schlapbach, Luregn J; Tsolia, Maria N; Usuf, Effua; Wright, Victoria J; Yeung, Shunmay; Zavadska, Dace; Zenz, Werner; et al (2023). A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study. The Lancet Digital Health, 5(11):e774-e785.

Muehlematter, Urs J; Bluethgen, Christian; Vokinger, Kerstin N (2023). FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks. The Lancet Digital Health, 5(9):e618-e626.

Pamporaki, Christina; Berends, Annika M A; Filippatos, Angelos; Prodanov, Tamara; Meuter, Leah; Prejbisz, Alexander; Beuschlein, Felix; Fassnacht, Martin; Timmers, Henri J L M; Nölting, Svenja; Abhyankar, Kaushik; Constantinescu, Georgiana; Kunath, Carola; de Haas, Robbert J; Wang, Katharina; Remde, Hanna; Bornstein, Stefan R; Januszewicz, Andrzeij; Robledo, Mercedes; Lenders, Jacques W M; Kerstens, Michiel N; Pacak, Karel; Eisenhofer, Graeme (2023). Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort. The Lancet Digital Health, 5(9):e551-e559.

Baumer, Janik; Metzger, Nando; Hafner, Elisabeth D; Daudt, Rodrigo Caye; Wegner, Jan Dirk; Schindler, Konrad (2023). Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring. In: 2023 10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22 June 2023 - 23 June 2023, Institute of Electrical and Electronics Engineers.

Fremond, Sarah; Andani, Sonali; Barkey Wolf, Jurriaan; Dijkstra, Jouke; Melsbach, Sinéad; Jobsen, Jan J; Brinkhuis, Mariel; Roothaan, Suzan; Jurgenliemk-Schulz, Ina; Lutgens, Ludy C H W; Nout, Remi A; van der Steen-Banasik, Elzbieta M; de Boer, Stephanie M; Powell, Melanie E; Singh, Naveena; Mileshkin, Linda R; Mackay, Helen J; Leary, Alexandra; Nijman, Hans W; Smit, Vincent T H B M; Creutzberg, Carien L; Horeweg, Nanda; Koelzer, Viktor H; Bosse, Tjalling (2023). Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts. The Lancet Digital Health, 5(2):e71-e82.


Franco, Muriel Figueredo; Sula, Erion; Huertas, Alberto; John Scheid, Eder; Granville, Lisandro Zambenedetti; Stiller, Burkhard (2022). SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses. In: 24th IEEE International Conference on Business Informatics, Amsterdam, Netherlands, 15 June 2022 - 17 June 2022, IEEE.


Yebyo, Henock G; Braun, Julia; Menges, Dominik; ter Riet, Gerben; Sadatsafavi, Mohsen; Puhan, Milo A (2021). Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit–harm modelling study. The Lancet Digital Health, 3(10):e644-e653.

Hertweck, Corinna; Heitz, Christoph (2021). A Systematic Approach to Group Fairness in Automated Decision Making. In: 2021 8th Swiss Conference on Data Science (SDS), Lucerne, 9 June 2021. IEEE, 1-6.

Vokinger, Kerstin N; Feuerriegel, Stefan; Kesselheim, Aaron S (2021). Continual learning in medical devices: FDA's action plan and beyond. The Lancet Digital Health, 3(6):e337-e338.

Muehlematter, Urs J; Daniore, Paola; Vokinger, Kerstin N (2021). Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis. The Lancet Digital Health, 3(3):e195-e203.


Hu, Yuhuang; Binas, Jonathan; Neil, Daniel; Liu, Shih-Chii; Delbruck, Tobi (2020). DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, 20 September 2020 - 23 September 2020, IEEE.

This list was generated on Mon Jul 15 00:34:13 2024 CEST.