Research Output per year
Fingerprint Dive into the research topics where Jay Hegde is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
Role of Temporal Congruity in Visual-Haptic Cross-modal Object Recognition and Le
Project: Research project
Research Output
Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: A proof-of-principle study
Hegdé, J., Mar 1 2020, In : Journal of Medical Imaging. 7, 2, 022410.Research output: Contribution to journal › Article
Open Access
Do different radiologists perceive medical images the same way? Some insights from Representational Similarity Analysis
Hegdé, J. & Bart, E., Jan 13 2019, In : IS and T International Symposium on Electronic Imaging Science and Technology. 2019, 12, HVEI-225.Research output: Contribution to journal › Conference article
1
Scopus
citations
Editorial: Deep learning in biological, computer, and neuromorphic systems
Bart, E. & Hegdé, J., Feb 12 2019, In : Frontiers in Computational Neuroscience. 13, 11.Research output: Contribution to journal › Editorial
Open Access
2
Scopus
citations
Deep synthesis of realistic medical images: A novel tool in clinical research and training
Bart, E. & Hegdé, J., Nov 20 2018, In : Frontiers in Neuroinformatics. 12, 82.Research output: Contribution to journal › Article
1
Scopus
citations
Making expert decisions easier to fathom: On the explainability of visual object recognition expertise
Hegdé, J. & Bart, E., Oct 12 2018, In : Frontiers in Neuroscience. 12, OCT, 670.Research output: Contribution to journal › Article
2
Scopus
citations