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ORCIDCharles Lu 0001
Person information
- affiliation: Massachusetts Institute of Technology, MIT Media Lab, Cambridge, USA
Other persons with the same name
- Charles Lu 0002 — Washington University in St. Louis, MO, USA
- Charles Lu 0003 — ?
- Charles Lu 0004 — Princeton University, Princeton, NJ, USA
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2020 – today
- 2024
[j1]Sarthak Pati
, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas:
Privacy preservation for federated learning in health care. Patterns 5(7): 100974 (2024)- [c5]Sharut Gupta, Ken Chang, Liangqiong Qu, Aakanksha Rana, Syed Rakin Ahmed, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh:
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 2024: 57-72 - [i14]Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar:
Data Acquisition via Experimental Design for Decentralized Data Markets. CoRR abs/2403.13893 (2024) - [i13]Charles Lu, Mohammad Mohammadi Amiri, Ramesh Raskar:
Data Measurements for Decentralized Data Markets. CoRR abs/2406.04257 (2024) - 2023
- [c4]Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar:
Federated Conformal Predictors for Distributed Uncertainty Quantification. ICML 2023: 22942-22964 - [i12]Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar:
Federated Conformal Predictors for Distributed Uncertainty Quantification. CoRR abs/2305.17564 (2023) - 2022
- [c3]Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer:
Fair Conformal Predictors for Applications in Medical Imaging. AAAI 2022: 12008-12016 - [c2]Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz:
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. MICCAI (8) 2022: 545-554 - [i11]Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Cramer:
Three Applications of Conformal Prediction for Rating Breast Density in Mammography. CoRR abs/2206.12008 (2022) - [i10]Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz:
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. CoRR abs/2207.02238 (2022) - [i9]Charles Lu, Syed Rakin Ahmed, Praveer Singh, Jayashree Kalpathy-Cramer:
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction. CoRR abs/2207.05796 (2022) - 2021
- [i8]Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Addressing catastrophic forgetting for medical domain expansion. CoRR abs/2103.13511 (2021) - [i7]Charles Lu, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer:
Evaluating subgroup disparity using epistemic uncertainty in mammography. CoRR abs/2107.02716 (2021) - [i6]Charles Lu, Andréanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer:
Fair Conformal Predictors for Applications in Medical Imaging. CoRR abs/2109.04392 (2021) - [i5]Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer:
Deploying clinical machine learning? Consider the following... CoRR abs/2109.06919 (2021) - [i4]Charles Lu, Jayashree Kalpathy-Cramer:
Distribution-Free Federated Learning with Conformal Predictions. CoRR abs/2110.07661 (2021) - 2020
- [i3]Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole:
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems. CoRR abs/2003.07678 (2020) - [i2]Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole:
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. CoRR abs/2008.08525 (2020)
2010 – 2019
- 2018
- [i1]Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn:
Stacked Neural Networks for end-to-end ciliary motion analysis. CoRR abs/1803.07534 (2018) - 2017
- [c1]Charles Lu, Shannon Quinn:
Classification of Ciliary Motion with 3D Convolutional Neural Networks. ACM Southeast Regional Conference 2017: 235-238
Coauthor Index
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