| Fair conformal predictors for applications in medical imaging C Lu, A Lemay, K Chang, K Höbel, J Kalpathy-Cramer Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12008 …, 2022 | 73 | 2022 |
| Conformal prediction with large language models for multi-choice question answering B Kumar, C Lu, G Gupta, A Palepu, D Bellamy, R Raskar, A Beam arXiv preprint arXiv:2305.18404, 2023 | 52 | 2023 |
| Improving trustworthiness of AI disease severity rating in medical imaging with ordinal conformal prediction sets C Lu, AN Angelopoulos, S Pomerantz International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 31 | 2022 |
| Federated learning for multicenter collaboration in ophthalmology: improving classification performance in retinopathy of prematurity C Lu, A Hanif, P Singh, K Chang, AS Coyner, JM Brown, S Ostmo, ... Ophthalmology Retina 6 (8), 657-663, 2022 | 31 | 2022 |
| Federated conformal predictors for distributed uncertainty quantification C Lu, Y Yu, SP Karimireddy, M Jordan, R Raskar International Conference on Machine Learning, 22942-22964, 2023 | 22 | 2023 |
| Federated learning for multicenter collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology A Hanif, C Lu, K Chang, P Singh, AS Coyner, JM Brown, S Ostmo, ... Ophthalmology Retina 6 (8), 650-656, 2022 | 22 | 2022 |
| Addressing catastrophic forgetting for medical domain expansion S Gupta, P Singh, K Chang, L Qu, M Aggarwal, N Arun, A Vaswani, ... arXiv preprint arXiv:2103.13511, 2021 | 20 | 2021 |
| Quantification of the thoracic aorta and detection of aneurysm at CT: development and validation of a fully automatic methodology FB de Carvalho Macruz, C Lu, J Strout, A Takigami, R Brooks, S Doyle, ... Radiology: Artificial Intelligence 4 (2), 2022 | 19 | 2022 |
| Distribution-free federated learning with conformal predictions C Lu, J Kalpathy-Cramer arXiv preprint arXiv:2110.07661, 2021 | 19 | 2021 |
| Collaborative privacy-preserving approaches for distributed deep learning using multi-institutional data S Gupta, S Kumar, K Chang, C Lu, P Singh, J Kalpathy-Cramer RadioGraphics 43 (4), e220107, 2023 | 18 | 2023 |
| Evaluating subgroup disparity using epistemic uncertainty in mammography C Lu, A Lemay, K Hoebel, J Kalpathy-Cramer arXiv preprint arXiv:2107.02716, 2021 | 12 | 2021 |
| Privacy preservation for federated learning in health care S Pati, S Kumar, A Varma, B Edwards, C Lu, L Qu, JJ Wang, ... Patterns 5 (7), 2024 | 10 | 2024 |
| Three applications of conformal prediction for rating breast density in mammography C Lu, K Chang, P Singh, J Kalpathy-Cramer arXiv preprint arXiv:2206.12008, 2022 | 9 | 2022 |
| CTA large vessel occlusion model MD Herrmann, JF Kalafut, BC Bizzo, CP Bridge, M Lev, CJ Lu, J Hillis US Patent 11,751,832, 2023 | 6 | 2023 |
| Name that manufacturer GP Biondetti, R Gauriau, CP Bridge, C Lu, KP Andriole Relating image acquisition bias with task complexity when training deep …, 2020 | 6 | 2020 |
| Estimating test performance for ai medical devices under distribution shift with conformal prediction C Lu, SR Ahmed, P Singh, J Kalpathy-Cramer arXiv preprint arXiv:2207.05796, 2022 | 5 | 2022 |
| Proceedings of the AAAI Conference on Artificial Intelligence C Lu, A Lemay, K Chang, K Höbel, J Kalpathy‐Cramer AAAI Press 36 (1), 1872-1880, 2022 | 5 | 2022 |
| An overview and case study of the clinical AI model development life cycle for healthcare systems C Lu, J Strout, R Gauriau, B Wright, FBDC Marcruz, V Buch, K Andriole arXiv preprint arXiv:2003.07678, 2020 | 5 | 2020 |
| Deploying clinical machine learning? Consider the following... C Lu, K Chang, P Singh, S Pomerantz, S Doyle, S Kakarmath, C Bridge, ... arXiv preprint arXiv:2109.06919, 2021 | 4 | 2021 |
| Co-Dream: Collaborative data synthesis with decentralized models A Singh, G Gupta, C Lu, Y Koirala, S Shankar, M Ehab, R Raskar ICML Workshop on Localized Learning (LLW), 2023 | 3 | 2023 |
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.edu