Martin Lindvall
Martin Lindvall
Research, Sectra AB
E-mail megerősítve itt: liu.se
Hivatkozott rá
Hivatkozott rá
From machine learning to machine teaching: the importance of UX
M Lindvall, J Molin, J Löwgren
interactions 25 (6), 52-57, 2018
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 Lundstrom, D Treanor
Journal of pathology informatics 10 (1), 22, 2019
Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI
M Lindvall, C Lundström, J Löwgren
26th International Conference on Intelligent User Interfaces, 504-513, 2021
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
TissueWand, a rapid histopathology annotation tool
M Lindvall, A Sanner, F Petré, K Lindman, D Treanor, C Lundström, ...
Journal of Pathology Informatics 11, 2020
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
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
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
Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging
C Lundström, M Lindvall
Journal of Digital Imaging, 1-9, 2022
Skin data from the Visual Sweden project DROID, 2019
K Lindman, JF Rose, M Lindvall, C Bivik Stadler
Designing for the Long Tail of Machine Learning
M Lindvall, J Molin
arXiv preprint arXiv:2001.07455, 2020
The Importance of UX for Machine Teaching
M Lindvall, J Molin, J Löwgren
2018 AAAI Spring Symposium Series, 2018
Designing with Machine Learning in Digital Pathology: Augmenting Medical Specialists through Interaction Design
M Lindvall
Linköping University Electronic Press, 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
Colon data from the Visual Sweden project DROID
K Skoglund, M Lindvall, C Bivik Stadler, C Lundström, D Treanor
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–15