Yixi Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Automated Classification

Comprehensive Evaluation

Top Venues

Comput. Biol. Medicine

Publications

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. CoRR (2024)
Shadab Ahamed, Yixi Xu, Arman Rahmim
IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images. CoRR (2024)
Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo H. O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR (2023)
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Medical Imaging: Image Processing (2023)
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos Uribe, Arman Rahmim, Juan Lavista Ferres
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine 158 (2023)
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (2022)
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219 (2022)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. CoRR (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. AIES (2021)
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan Lavista Ferres
privGAN: Protecting GANs from membership inference attacks at low cost to utility. Proc. Priv. Enhancing Technol. 2021 (3) (2021)
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres
Protecting GANs against privacy attacks by preventing overfitting. CoRR (2020)
Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. CoRR (2020)
Yixi Xu, Xiao Wang
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. CoRR (2018)
Yixi Xu, Jean Honorio, Xiao Wang
On the Statistical Efficiency of Compositional Nonparametric Prediction. AISTATS (2018)
Yixi Xu, Xiao Wang
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. NeurIPS (2018)
Yixi Xu, Jean Honorio, Xiao Wang
Statistical Efficiency of Compositional Nonparametric Prediction. CoRR (2017)