Sarah M. Hooper

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Spatial Pyramid Matching

Image Classification

Top Venues

Publications

Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. ICCV (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. CoRR (2023)
Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré
A case for reframing automated medical image classification as segmentation. NeurIPS (2023)
Mirwais Wardak, Sarah M. Hooper, Christiaan Schiepers, Wei Chen, Carina Mari Aparici, Guido A. Davidzon, Ophir Vermesh, Timothy F. Cloughesy, Sung-Cheng Huang, Sanjiv Sam Gambhir
Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas. PRIME@MICCAI (2022)
Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel Rubin, Christopher Ré
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC (2022)
Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) (2021)
Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR (2021)
Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR (2020)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR (2020)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML (2020)