Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays

Por Sivaramakrishnan Rajaraman, Sameer Antani
Publicado em 2020-05-01

Accelerating Super-Resolution and Visual Task Analysis in Medical Images

Por Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer Antani
Publicado em 2020-06-01

DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

Por Sivaramakrishnan Rajaraman, Gregg Cohen, Lillian Spear, Les Folio, Sameer Antani
Publicado em 2022-01-01

Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

Por Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, George Thoma, Sameer Antani
Publicado em 2018-09-01

Design and feasibility of a novel program of cervical screening in Nigeria: self-sampled HPV testing paired with visual triage

Por Kanan T. Desai, Kayode O. Ajenifuja, Adekunbiola Banjo, Clement A. Adepiti, Akiva Novetsky, Cathy Sebag, Mark H. Einstein, Temitope Oyinloye, Tamara R. Litwin, Matt Horning, Fatai Olatunde Olanrewaju, Mufutau Muphy Oripelaye, Esther Afolabi, Oluwole O. Odujoko, Philip E. Castle, Sameer Antani, Ben Wilson, Liming Hu, Courosh Mehanian, Maria Demarco, Julia C. Gage, Zhiyun Xue, Leonard R. Long, Li Cheung, Didem Egemen, Nicolas Wentzensen, Mark Schiffman
Publicado em 2020-10-01