Martin Lindvall
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From machine learning to machine teaching: the importance of UX
M Lindvall, J Molin, J Löwgren
interactions 25 (6), 52-57, 2018
122018
Annotations, ontologies, and whole slide images–Development of an annotated ontology-driven whole slide image library of normal and abnormal human tissue
K Lindman, JF Rose, M Lindvall, C Lundström, D Treanor
Journal of pathology informatics 10, 2019
42019
Machine learning as a design material: a curated collection of exemplars for visual interaction
DT Luciani, M Lindvall, J Löwgren
DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018, 2018
4*2018
TissueWand, a rapid histopathology annotation tool
M Lindvall, A Sanner, F Petré, K Lindman, D Treanor, C Lundström, ...
Journal of Pathology Informatics 11, 2020
22020
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios
A Tsirikoglou, K Stacke, G Eilertsen, M Lindvall, J Unger
arXiv preprint arXiv:2005.10326, 2020
12020
The Importance of UX for Machine Teaching
M Lindvall, J Molin, J Löwgren
2018 AAAI Spring Symposium Series, 2018
12018
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training
CB Stadler, M Lindvall, C Lundström, A Bodén, K Lindman, J Rose, ...
Journal of digital imaging 34 (1), 105-115, 2021
2021
Verification Staircase: a Design Strategy for Actionable Explanations
M Lindvall, J Molin, AB Sectra
Proceedings of the Workshop on Explainable Smart Systems for Algorithmic …, 2020
2020
Designing for the Long Tail of Machine Learning
M Lindvall, J Molin
arXiv preprint arXiv:2001.07455, 2020
2020
Axillary lymph nodes in breast cancer cases
S Jarkman, M Lindvall, J Hedlund, D Treanor, C Lundström
https://datasets.aida.medtech4health.se/10.23698/aida/brln, 2019
2019
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Artiklar 1–10