Shahar Kovalsky, Phillip Griffiths Assistant Research Professor

Shahar Kovalsky
Office Location:  
Email Address: send me a message
Web Page:  https://services.math.duke.edu/~shaharko/

Teaching (Spring 2020):

Education:

Ph.D.Weizmann Institute of Science (Israel)2016
Keywords:

Computer Graphics • Computer vision • Geometry • Machine learning • Optimization

Recent Publications

  1. 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]
  2. Dym, N; Kovalsky, SZ, Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration., Corr, vol. abs/1904.02204 (2019)
  3. 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
  4. 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)
  5. 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)