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Publications by Kevin Smith

Refereegranskade

Artiklar

[1]
A. Yala et al., "Toward robust mammography-based models for breast cancer risk," Science Translational Medicine, vol. 13, no. 578, 2021.
[7]
[9]
D. P. Sullivan et al., "Deep learning is combined with massive-scale citizen science to improve large-scale image classification," Nature Biotechnology, vol. 36, no. 9, pp. 820-+, 2018.
[10]
S. Robertson et al., "Digital image analysis in breast pathology-from image processing techniques to artificial intelligence," Translational Research : The Journal of Laboratory and Clinical Medicine, vol. 194, pp. 19-35, 2018.
[11]
C. Brasko et al., "Intelligent image-based in situ single-cell isolation," Nature Communications, vol. 9, 2018.
[14]
[15]
C. F. Winsnes et al., "Multi-label prediction of subcellular localization in confocal images using deep neural networks," Molecular Biology of the Cell, vol. 27, 2016.

Konferensbidrag

[16]
Y. Liu et al., "Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models," in Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI (Lecture Notes in Computer Science), 2020, pp. 230-240.
[17]
F. Baldassarre et al., "Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks," in ECCV 2020: Computer Vision – ECCV 2020, 2020, pp. 612-630.
[18]
F. Baldassarre et al., "Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks," in European Conference on Computer Vision, ECCV 2020, 2020.
[19]
E. Konuk and K. Smith, "An empirical study of the relation between network architecture and complexity," in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, 2019, pp. 4597-4599.
[20]
M. Teye, H. Azizpour and K. Smith, "Bayesian Uncertainty Estimation for Batch Normalized Deep Networks," in International Conference on Machine Learning (ICML), 2018.
[21]
S. Carlsson et al., "The Preimage of Rectifier Network Activities," in International Conference on Learning Representations (ICLR), 2017.
Senaste synkning med DiVA:
2021-09-26 02:55:55