no code implementations • 13 May 2022 • Thiago Santos, Amara Tariq, Susmita Das, Kavyasree Vayalpati, Geoffrey H. Smith, Hari Trivedi, Imon Banerjee
Pathology text mining is a challenging task given the reporting variability and constant new findings in cancer sub-type definitions.
1 code implementation • 14 Apr 2022 • Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk patients before they are discharged.
no code implementations • 11 Jul 2020 • Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee
The results show the internal performance of each of the 5 pathologies outperformed external performance on both of the models.
no code implementations • 23 Jun 2020 • Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W. Gichoya
To test the performance of the two top models for CXR COVID-19 diagnosis on external datasets to assess model generalizability.
no code implementations • 15 May 2017 • Amara Tariq, Hassan Foroosh
Image search and retrieval engines rely heavily on textual annotation in order to match word queries to a set of candidate images.
no code implementations • 6 May 2017 • Amara Tariq, Hassan Foroosh
Vocabulary words are the fine labels to be associated with images.
no code implementations • CVPR 2015 • Amara Tariq, Hassan Foroosh
Automatic image annotation is a highly valuable tool for image search, retrieval and archival systems.