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Yixi Xu
Yixi Xu
Microsoft AI for Good Research Lab
Verified email at microsoft.com
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Cited by
Year
privGAN: Protecting GANs from membership inference attacks at low cost to utility
S Mukherjee, Y Xu, A Trivedi, N Patowary, JL Ferres
Proceedings on Privacy Enhancing Technologies, 2021
69*2021
Testing the ability of convolutional neural networks to learn radiomic features
IS Klyuzhin, Y Xu, A Ortiz, JL Ferres, G Hamarneh, A Rahmim
Computer Methods and Programs in Biomedicine 219, 106750, 2022
162022
Reimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data
RR Barbieri, Y Xu, L Setian, PT Souza-Santos, A Trivedi, J Cristofono, ...
The Lancet Regional Health–Americas 9, 2022
162022
Becoming good at ai for good
M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021
162021
Statistical modeling of the fuel flow rate of GA piston engine aircraft using flight operational data
C Huang, Y Xu, ME Johnson
Transportation Research Part D: Transport and Environment 53, 50-62, 2017
132017
Mace: A flexible framework for membership privacy estimation in generative models
Y Xu, S Mukherjee, X Liu, S Tople, R Dodhia, JL Ferres
arXiv preprint arXiv:2009.05683, 2020
122020
Understanding weight normalized deep neural networks with rectified linear units
Y Xu, X Wang
Advances in neural information processing systems 31, 2018
122018
Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19
Y Xu, A Trivedi, N Becker, M Blazes, JL Ferres, A Lee, W Conrad Liles, ...
Scientific Reports 12 (1), 16913, 2022
102022
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Y Xu, I Klyuzhin, S Harsini, A Ortiz, S Zhang, F Bénard, R Dodhia, ...
Computers in Biology and Medicine 158, 106882, 2023
72023
Sparse deep neural networks using L 1,∞-weight normalization
M Wen, Y Xu, Y Zheng, Z Yang, X Wang
Statistica Sinica 31 (3), 1397-1414, 2021
6*2021
Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy
AR Habib, Y Xu, K Bock, S Mohanty, T Sederholm, WB Weeks, R Dodhia, ...
Scientific reports 13 (1), 5368, 2023
52023
Unsupervised background removal by dual-modality PET/CT guidance: application to PSMA imaging of metastases
I Klyuzhin, Y Xu, S Harsini, A Ortiz, C Uribe, JL Ferres, A Rahmim
Journal of Nuclear Medicine 62 (supplement 1), 36-36, 2021
52021
Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
S Mukherjee, M Kshirsagar, N Becker, Y Xu, WB Weeks, S Patel, ...
BMC Public Health 22 (1), 2394, 2022
22022
Automatic lesion detection and segmentation in PSMA PET/CT images using deep neural networks
Y Xu, I Klyuzhin, S Harsini, A Ortiz, A Rahmim, JL Ferres
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021
22021
Towards enhanced lesion segmentation using a 3D neural network trained on multi-resolution cropped patches of lymphoma PET images
S Ahamed, Y Xu, W Weeks, R Dodhia, J Ferres, A Rahmim
Journal of Nuclear Medicine 64 (supplement 1), P1360-P1360, 2023
12023
Weight normalized deep neural networks
Y Xu, X Wang
Stat 10 (1), e344, 2021
12021
On the Statistical Efficiency of Compositional Nonparametric Prediction
Y Xu, J Honorio, X Wang
International Conference on Artificial Intelligence and Statistics, 1531-1539, 2018
12018
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
S Ahamed, Y Xu, C Gowdy, I Bloise, D Wilson, P Martineau, F Bénard, ...
arXiv preprint arXiv:2311.09614, 2023
2023
A study of classification neural networks trained on axial, coronal and sagittal PET/CT slices and their weighted ensembles
S Ahamed, Y Xu, I Shiri, F Yousefirizi, C Uribe, W Weeks, R Dodhia, ...
Journal of Nuclear Medicine 64 (supplement 1), P1357-P1357, 2023
2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
S Ahamed, Y Xu, I Bloise, HO Joo, CF Uribe, R Dodhia, JL Ferres, ...
Medical Imaging 2023: Image Processing 12464, 393-402, 2023
2023
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