Hooper, Sarah

5 publications

NeurIPS 2023 A Case for Reframing Automated Medical Image Classification as Segmentation Sarah Hooper, Mayee Chen, Khaled Saab, Kush Bhatia, Curtis Langlotz, Christopher Ré

ICCV 2023 ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data Maya Varma, Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, Curtis Langlotz

MLHC 2022 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity Khaled Saab, Sarah Hooper, Mayee Chen, Michael Zhang, Daniel Rubin, Christopher Re

ICLR 2021 Cut Out the Annotator, Keep the Cutout: Better Segmentation with Weak Supervision Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re

ICML 2020 Fast and Three-Rious: Speeding up Weak Supervision with Triplet Methods Daniel Fu, Mayee Chen, Frederic Sala, Sarah Hooper, Kayvon Fatahalian, Christopher Re