Naama Hammel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Medical Imagery

Top Venues

CHI Extended Abstracts

Publications

Brenna Li, Amy Wang, Patricia Strachan, Julie Anne Séguin, Sami Lachgar, Karyn C. Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. CHI Extended Abstracts (2024)
Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko
Using generative AI to investigate medical imagery models and datasets. CoRR (2023)
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu
Discovering novel systemic biomarkers in photos of the external eye. CoRR (2022)
Beverly Freeman, Naama Hammel, Sonia Phene, Abigail Huang, Rebecca Ackermann, Olga Kanzheleva, Miles Hutson, Caitlin Taggart, Quang Duong, Rory Sayres
Iterative Quality Control Strategies for Expert Medical Image Labeling. HCOMP (2021)
Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR (2020)
Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y. Maa, Jorge Cuadros, Greg Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu
Detecting hidden signs of diabetes in external eye photographs. CoRR (2020)
Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. CoRR (2020)
Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. CoRR (2019)
Akinori Mitani, Yun Liu, Abigail E. Huang, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
Detecting Anemia from Retinal Fundus Images. CoRR (2019)
Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR (2018)