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ORCIDSarah M. Hooper
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2020 – today
- 2023
[c7]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: 22168-22178- [c6]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 - [i3]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 abs/2308.11194 (2023) - 2022
- [c5]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: 24-35 - [c4]Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré:
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC 2022: 760-784 - 2021
- [c3]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 - [c2]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: 603-614 - 2020
- [c1]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: 3280-3291 - [i2]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 abs/2002.11955 (2020) - [i1]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 abs/2003.07977 (2020)
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