Charles Lu - RankMe

22 papers A* 3Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 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
2024	A*	`conf`	Data Acquisition via Experimental Design for Data Markets. NeurIPS Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar
2024	J	`jnl`	Data Acquisition via Experimental Design for Decentralized Data Markets. CoRR Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar
2024	J	`jnl`	Data Measurements for Decentralized Data Markets. CoRR Charles Lu, Mohammad Mohammadi Amiri, Ramesh Raskar
2024	—	`conf`	Overcoming Trust and Incentive Barriers in Decentralized AI. CogMI Abhishek Singh, Charles Lu, Ramesh Raskar
2024	J	`jnl`	Privacy preservation for federated learning in health care. Patterns 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
2023	A*	`conf`	Federated Conformal Predictors for Distributed Uncertainty Quantification. ICML Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar
2023	J	`jnl`	Federated Conformal Predictors for Distributed Uncertainty Quantification. CoRR Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar
2022	J	`jnl`	Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction. CoRR Charles Lu, Syed Rakin Ahmed, Praveer Singh, Jayashree Kalpathy-Cramer
2022	A*	`conf`	Fair Conformal Predictors for Applications in Medical Imaging. AAAI Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer
2022	—	`conf`	Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. MICCAI (8) Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz
2022	J	`jnl`	Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. CoRR Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz
2022	J	`jnl`	Three Applications of Conformal Prediction for Rating Breast Density in Mammography. CoRR Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Addressing catastrophic forgetting for medical domain expansion. CoRR 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
2021	J	`jnl`	Deploying clinical machine learning? Consider the following... CoRR Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Distribution-Free Federated Learning with Conformal Predictions. CoRR Charles Lu, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Evaluating subgroup disparity using epistemic uncertainty in mammography. CoRR Charles Lu, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Fair Conformal Predictors for Applications in Medical Imaging. CoRR Charles Lu, Andréanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer
2020	J	`jnl`	"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. CoRR Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole
2020	J	`jnl`	An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems. CoRR Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole
2018	J	`jnl`	Stacked Neural Networks for end-to-end ciliary motion analysis. CoRR Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn
2017	—	`conf`	Classification of Ciliary Motion with 3D Convolutional Neural Networks. ACM Southeast Regional Conference Charles Lu, Shannon Quinn