no code implementations • 15 Oct 2020 • Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
Due to the SAP test's innate difficulty and its high test-retest variability, we propose the RetiNerveNet, a deep convolutional recursive neural network for obtaining estimates of the SAP visual field.
1 code implementation • 22 Jun 2020 • Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
Small and imbalanced datasets commonly seen in healthcare represent a challenge when training classifiers based on deep learning models.
1 code implementation • 12 Feb 2020 • Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
This model reached a classification performance of AUROC greater than 0. 90 for 18 abnormalities, with an average AUROC of 0. 773 for all 83 abnormalities, demonstrating the feasibility of learning from unfiltered whole volume CT data.
no code implementations • 26 Apr 2019 • David Dov, Shahar Ziv Kovalsky, Serge Assaad, Avani A. Pendse Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin
The lower bound further allows us to extend the proposed algorithm to simultaneously predict multiple bag and instance-level labels from a single output of a neural network.
no code implementations • 29 Mar 2019 • David Dov, Shahar Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin
We consider preoperative prediction of thyroid cancer based on ultra-high-resolution whole-slide cytopathology images.
no code implementations • 11 Apr 2016 • David Dov, Ronen Talmon, Israel Cohen
In this paper, we address the problem of multiple view data fusion in the presence of noise and interferences.