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Author Details

Kevin Smith
KTH Royal Institute of Technology
2008
18
15
Emma Lundberg (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
33504648Toward robust mammography-based models for breast cancer risk.Sci Transl Med2021
32852536External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms.JAMA Oncol2020
34222682nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer.Cell Syst2020
31845842Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.Radiology2020
33328114Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.Lancet Digit Health2020
29175265Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.Transl Res2018
30125267Deep learning is combined with massive-scale citizen science to improve large-scale image classification.Nat Biotechnol2018
29953863Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays.Cell Syst2018
29335532Intelligent image-based in situ single-cell isolation.Nat Commun2018
28647475Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.Cell Syst2017
26728857Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling.J Cell Biol2016
25438309Learning structured models for segmentation of 2-D and 3-D imagery.IEEE Trans Med Imaging2015
25775044CIDRE: an illumination-correction method for optical microscopy.Nat Methods2015
24643256Active Learning Strategies for Phenotypic Profiling of High-Content Screens.J Biomol Screen2014
21997252Supervoxel-based segmentation of mitochondria in em image stacks with learned shape features.IEEE Trans Med Imaging2012
22641706SLIC superpixels compared to state-of-the-art superpixel methods.IEEE Trans Pattern Anal Mach Intell2012
20879348A fully automated approach to segmentation of irregularly shaped cellular structures in EM images.Med Image Comput Comput Assist Interv2010
18550904Tracking the visual focus of attention for a varying number of wandering people.IEEE Trans Pattern Anal Mach Intell2008
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Collaborators

Peter Horvath
Institute of Biochemistry, Biological Research Centre
Co-authored papers 6
Andr??s Kriston
Biological Research Centre
Co-authored papers 1
Rutger Schutten
KTH - Royal Institute of Technology
Co-authored papers 1
Hjalti Leifsson
Co-authored papers 1
Olivier Pertz
Co-authored papers 1
Linzi Campbell
Co-authored papers 1
Lovisa ??kesson
KTH-Royal Institute of Technology
Co-authored papers 1
Devin P Sullivan
KTH - Royal Institute of Technology
Co-authored papers 1
Andie Nordgren
Co-authored papers 1
Mikaela Wiking
KTH - Royal Institute of Technology
Co-authored papers 1
Martin Hjelmare
KTH-Royal Institute of Technology
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Bergur Finnbogason
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Scott Rhodes
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Bernard Revaz
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Casper F Winsnes
KTH - Royal Institute of Technology
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Anne E Carpenter
Broad Institute of MIT and Harvard
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Attila Szantner
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Istv??n Nagy
Institute of Biochemistry, HUN-REN Biological Research Centre
Co-authored papers 1
Emma Lundberg (CM4AI)
Stanford University
Co-authored papers 1
Ede Migh
Institute of Biochemistry, HUN-REN Biological Research Centre
Co-authored papers 1
Release 1.2