2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS26 papers
- National Center for Biotechnology InformationUS7 papers
- Yale UniversityUS5 papers
- National Institutes of Health Clinical CenterUS4 papers
- National Eye InstituteUS3 papers
- National University of SingaporeSG3 papers
- Oregon Health & Science UniversityUS3 papers
- Pennsylvania State UniversityUS3 papers
- Radboud University NijmegenNL3 papers
- The University of Texas Health Science Center at HoustonUS3 papers
- University of California San DiegoUS3 papers
- Carnegie Mellon UniversityUS2 papers
3 papers · 1 filter
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
Sivaramakrishnan Rajaraman, Gregg Cohen, Lillian Spear +2
Chest X-ray (CXR) is a widely performed radiology examination that helps to detect abnormalities in the tissues and organs in the thoracic cavity. Detecting pulmonary abnormalities…
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani
In medical image classification tasks, it is common to find that the number of normal samples far exceeds the number of abnormal samples. In such class-imbalanced situations, relia…
Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio +2
Chest X-rays are the most commonly performed diagnostic examination to detect cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and clavicles can…