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Charles Lu
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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
332022
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
242022
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
222023
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
152022
Quantification of the thoracic aorta and detection of aneurysm at CT: development and validation of a fully automatic methodology
F Bezerra de Carvalho Macruz, C Lu, J Strout, A Takigami, R Brooks, ...
Radiology: Artificial Intelligence 4 (2), e210076, 2022
152022
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
152021
Distribution-free federated learning with conformal predictions
C Lu, J Kalpathy-Cramer
arXiv preprint arXiv:2110.07661, 2021
142021
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
102023
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
102022
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
92022
Evaluating subgroup disparity using epistemic uncertainty in mammography
C Lu, A Lemay, K Hoebel, J Kalpathy-Cramer
arXiv preprint arXiv:2107.02716, 2021
82021
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
62023
Name that manufacturer
GP Biondetti, R Gauriau, CP Bridge, C Lu, KP Andriole
Relating image acquisition bias with task complexity when training deep …, 2020
62020
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
42020
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
32022
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
32021
Stacked Neural Networks for end-to-end ciliary motion analysis
C Lu, M Marx, M Zahid, CW Lo, C Chennubhotla, SP Quinn
arXiv preprint arXiv:1803.07534, 2018
22018
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
12023
Federated learning for collaborative clinical diagnosis and disease epidemiology in retinopathy of prematurity
AH Hanif, C Lu, K Chang, P Singh, AS Coyner, J Brown, S Ostmo, ...
Investigative Ophthalmology & Visual Science 63 (7), 2329-2329, 2022
12022
Classification of Ciliary Motion with 3D Convolutional Neural Networks
C Lu, S Quinn
Proceedings of the SouthEast Conference, 235-238, 2017
12017
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