Fast and three-rious: Speeding up weak supervision with triplet methods D Fu, M Chen, F Sala, S Hooper, K Fatahalian, C Ré International conference on machine learning, 3280-3291, 2020 | 137 | 2020 |
Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo J Kim, B Park, J Ha, I Steinberg, SM Hooper, C Jeong, EY Park, W Choi, ... Cancer Research 81 (18), 4849-4860, 2021 | 122 | 2021 |
Observational supervision for medical image classification using gaze data K Saab, SM Hooper, NS Sohoni, J Parmar, B Pogatchnik, S Wu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 35 | 2021 |
Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER) for Clinical Photoacoustic Imaging I Steinberg, J Kim, MK Schneider, D Hyun, A Zlitni, SM Hooper, T Klap, ... IEEE Transactions on Medical Imaging, 2021 | 30 | 2021 |
Cut out the annotator, keep the cutout: better segmentation with weak supervision S Hooper, M Wornow, YH Seah, P Kellman, H Xue, F Sala, C Langlotz, ... International Conference on Learning Representations, 2021 | 23 | 2021 |
Systems and methods for synthetic medical image generation SM Hooper, M Wardak, SS Gambhir US Patent 11,398,026, 2022 | 11 | 2022 |
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data M Varma, JB Delbrouck, S Hooper, A Chaudhari, C Langlotz Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Reducing reliance on spurious features in medical image classification with spatial specificity K Saab, S Hooper, M Chen, M Zhang, D Rubin, C Re Machine Learning for Healthcare Conference, 760-784, 2022 | 10 | 2022 |
Impact of upstream medical image processing on downstream performance of a head CT triage neural network SM Hooper, JA Dunnmon, MP Lungren, D Mastrodicasa, DL Rubin, C Ré, ... Radiology: Artificial Intelligence 3 (4), e200229, 2021 | 9 | 2021 |
A case for reframing automated medical image classification as segmentation S Hooper, M Chen, K Saab, K Bhatia, C Langlotz, C Ré Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
On developing an FPGA based system for real time seizure prediction S Hooper, E Biegert, M Levy, J Pensock, L van der Spoel, X Zhang, ... 2017 51st Asilomar conference on signals, Systems, and Computers, 103-107, 2017 | 5 | 2017 |
Evaluating semi-supervision methods for medical image segmentation: applications in cardiac magnetic resonance imaging SM Hooper, S Wu, RH Davies, A Bhuva, EB Schelbert, JC Moon, ... Journal of Medical Imaging 10 (2), 024007-024007, 2023 | 4 | 2023 |
Multispectral photoacoustic assessment of thyroid cancer nodules in vivo J Kim, B Park, J Ha, I Steinberg, EY Park, W Choi, S Hooper, SS Gambhir, ... Photons Plus Ultrasound: Imaging and Sensing 2020 11240, 1124004, 2020 | 4 | 2020 |
Assessing robustness to noise: low-cost head CT triage SM Hooper, JA Dunnmon, MP Lungren, SS Gambhir, C Ré, AS Wang, ... arXiv preprint arXiv:2003.07977, 2020 | 3 | 2020 |
Speeding up cardiac MR segmentation with semi-supervision: applications in cine imaging S Hooper, S Wu, RH Davies, JC Moon, P Kellman, H Xue, C Langlotz, ... European Heart Journal-Cardiovascular Imaging 23 (Supplement_2), jeac141. 004, 2022 | 2 | 2022 |
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis SM Hooper, H Xue arXiv preprint arXiv:2501.00619, 2024 | | 2024 |
Label-Efficient Machine Learning for Medical Image Analysis SMI Hooper Stanford University, 2023 | | 2023 |
Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas M Wardak, SM Hooper, C Schiepers, W Chen, CM Aparici, GA Davidzon, ... International Workshop on PRedictive Intelligence In MEdicine, 24-35, 2022 | | 2022 |
Combinational American Thyroid Association: photoacoustic score as a novel classification method for thyroid cancer nodules in vivo B Park, J Kim, J Ha, I Steinberg, S Hooper, C Jeong, E Park, W Choi, ... Photons Plus Ultrasound: Imaging and Sensing 2021 11642, 116420L, 2021 | | 2021 |