Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Jayashree Kalpathy-Cramer, Ph.D.


This page shows the publications co-authored by Jayashree Kalpathy-Cramer and Dexter Mendoza.
Connection Strength

  1. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs. Acad Radiol. 2021 04; 28(4):572-576.
    View in: PubMed
    Score: 0.236
  2. Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19. medRxiv. 2020 Sep 18.
    View in: PubMed
    Score: 0.230
  3. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiol Artif Intell. 2020 Jul; 2(4):e200079.
    View in: PubMed
    Score: 0.228
  4. Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks. medRxiv. 2020 May 26.
    View in: PubMed
    Score: 0.225
  5. Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. AJNR Am J Neuroradiol. 2021 05; 42(5):831-837.
    View in: PubMed
    Score: 0.059
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.