Math @ Duke
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Shahar Kovalsky, Phillip Griffiths Assistant Research Professor
Please note: Shahar has left the Mathematics department at Duke University; some info here might not be up to date. - Contact Info:
- Education:
Ph.D. | Weizmann Institute of Science (Israel) | 2016 |
- Keywords:
- Computer Graphics • Computer vision • Geometry • Machine learning • Optimization
- Recent Publications
(More Publications)
- Dym, N; Kovalsky, S, Linearly converging quasi branch and bound algorithms for global rigid registration,
Proceedings of the Ieee International Conference on Computer Vision, vol. 2019-October
(October, 2019),
pp. 1628-1636 [doi] [abs]
- Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution, vol. 10 no. 4
(April, 2019),
pp. 541-552 [doi] [abs]
- Dov, D; Kovalsky, SZ; Cohen, J; Range, DE; Henao, R; Carin, L, Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images., edited by Doshi-Velez, F; Fackler, J; Jung, K; Kale, DC; Ranganath, R; Wallace, BC; Wiens, J,
Mlhc, vol. 106
(2019),
pp. 553-570, PMLR
- Dov, D; Kovalsky, SZ; Cohen, J; Range, DE; Henao, R; Carin, L, A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images.,
Corr, vol. abs/1904.12739
(2019)
- Dov, D; Kovalsky, SZ; Cohen, J; Range, D; Henao, R; Carin, L, Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images.,
Corr, vol. abs/1904.00839
(2019)
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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