Sarah M. Hooper
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2020–2023
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICCV | ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. | Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz |
| 2022 | MICCAI | Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas. | 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 |
| 2021 | ICLR | Cut out the annotator, keep the cutout: better segmentation with weak supervision. | Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher R |
| 2021 | MICCAI | Observational Supervision for Medical Image Classification Using Gaze Data. | Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher R |
| 2020 | ICML | Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. | Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher R |