Automatic CAD of meniscal tears on MR imaging: a morphology-based approach. - Bharath Ramakrishna; Weimin Liu; Nabile M. Safdar; Khan M. Siddiqui; Woojin Kim; Krishna Juluru; Chein-I Chang; Eliot L. Siegel (Computer-Aided Diagnosis, 2007)

A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images. - Antonio Criminisi; Krishna Juluru; Sayan D. Pathak (MICCAI (3), 2011)

Should Post-Processing Be Performed by the Radiologist? - Reuben Mezrich; Krishna Juluru; Paul G. Nagy (J. Digit. Imaging, 2011)

Facial Recognition Software Success Rates for the Identification of 3D Surface Reconstructed Facial Images: Implications for Patient Privacy and Security. - Jan C. Mazura; Krishna Juluru; Joseph J. Chen; Tara A. Morgan; Majnu John; Eliot L. Siegel (J. Digit. Imaging, 2012)

Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey. - Brittany Dashevsky; Mia Gorovoy; William J. Weadock; Krishna Juluru (J. Digit. Imaging, 2015)

A Mathematical Simulation to Assess Variability in Lung Nodule Size Measurement Associated With Nodule-Slice Position. - Krishna Juluru; Noor Al Khori; Sha He; Amy Kuceyeski; John Eng (J. Digit. Imaging, 2015)

Leveraging an Enterprise Data Warehouse to Support Clinical Workflow: Targeted Notification of Pathology Results. - Michael Eubank; Janice S. Sung; Krishna Juluru (AMIA, 2017)

Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. - Lukas Hirsch; Yu Huang 014; Shaojun Luo; Carolina Rossi Saccarelli; Roberto Lo Gullo; Isaac Daimiel Naranjo; Almir Galvão Vieira Bitencourt; Natsuko Onishi; Eun Sook Ko; Dortis Leithner; Daly Avendano; Sarah Eskreis-Winkler; et al. (CoRR, 2020)