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Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine Therese Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, +5 more
26citations -
Work-in-Progress: A Review of the Type, Breadth, and Limitations of Publicly Available Educational Technology Products in 20222024 ASEE Annual Conference & Exposition conference-paper Computer Science Educational Technology and E-Learning
Robert M. Nickel, Sarah Appelhans, R.L. Thomas, Stu Thompson, Stewart J. Thomas, Abdelghany Abouelnagga, +1 more
2citations -
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, +4 more
12citations -
Do learners share the same perceived learning outcomes in MOOCs? Identifying the role of motivation, perceived learning support, learning engagement, and self-regulated learning strategies136citations
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The effects of mobile technology usage on cognitive, affective, and behavioural learning outcomes in primary and secondary education: A systematic review with meta‐analysis2022 Journal of Computer Assisted Learning review Computer Science Mobile Learning in Education Open access
Jingxian Wang, Dineke E.H. Tigelaar, Tian Zhou, Wilfried Admiraal
26citations -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
Guided Representation Learning for the Classification of Hematopoietic Cells2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2citations