Charles Lu

According to our database, Charles Lu authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy preservation for federated learning in health care.

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

Patterns, 2024

Data Measurements for Decentralized Data Markets.

Charles Lu, Mohammad Mohammadi Amiri, Ramesh Raskar

CoRR, 2024

Data Acquisition via Experimental Design for Decentralized Data Markets.

Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar

CoRR, 2024

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion.

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

Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

2023

Federated Conformal Predictors for Distributed Uncertainty Quantification.

Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar

Proceedings of the International Conference on Machine Learning, 2023

2022

Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction.

Charles Lu, Syed Rakin Ahmed, Praveer Singh, Jayashree Kalpathy-Cramer

CoRR, 2022

Three Applications of Conformal Prediction for Rating Breast Density in Mammography.

Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Cramer

CoRR, 2022

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets.

Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fair Conformal Predictors for Applications in Medical Imaging.

Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distribution-Free Federated Learning with Conformal Predictions.

Charles Lu, Jayashree Kalpathy-Cramer

CoRR, 2021

Deploying clinical machine learning? Consider the following...

Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer

CoRR, 2021

Evaluating subgroup disparity using epistemic uncertainty in mammography.

Charles Lu, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer

CoRR, 2021

Addressing catastrophic forgetting for medical domain expansion.

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

CoRR, 2021

2020

"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT.

Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole

CoRR, 2020

An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems.

Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole

CoRR, 2020

2018

Stacked Neural Networks for end-to-end ciliary motion analysis.

Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn

CoRR, 2018

2017

Classification of Ciliary Motion with 3D Convolutional Neural Networks.

Charles Lu, Shannon Quinn

Proceedings of the 2017 ACM Southeast Regional Conference, 2017