| 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 | 111 | 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 | 93 | 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 | 27 | 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 | 25 | 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 | 19 | 2021 |
| Systems and methods for synthetic medical image generation SM Hooper, M Wardak, SS Gambhir US Patent 11,398,026, 2022 | 8 | 2022 |
| 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 | 7 | 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 | 6 | 2021 |
| 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 |
| 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 |
| 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 | 3 | 2023 |
| 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 |
| 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 | 2 | 2020 |
| 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 | 1 | 2023 |
| Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy H Xue, S Hooper, A Rehman, I Pierce, T Treibel, R Davies, WP Bandettini, ... arXiv preprint arXiv:2404.02382, 2024 | | 2024 |
| High Resolution Quantitative Perfusion CMR with the Spatio-temporal CNN Imaging Transformer H Xue, I Pierce, T Treibel, S Hooper, A Rehman, WP Bandettini, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR H Xue, A Rehman, S Hooper, I Pierce, R Ramasawmy, A Javed, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Spatio-temporal CNN Imaging Transformer for CMR Imaging H Xue, A Rehman, S Hooper, I Pierce, T Treibel, A Javed, WP Bandettini, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| Routine CMR at 0.55 T with Standard Spatial Resolution Using an Imaging Transformer H Xue, S Hooper, A Rehman, R Ramasawmy, A Javed, Y Yang, ... Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| 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 | | 2024 |
