On the Statistical Efficiency of Compositional Nonparametric Prediction. - Yixi Xu; Jean Honorio; Xiao Wang 045 (AISTATS, 2018)

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. - Yixi Xu; Xiao Wang 045 (NeurIPS, 2018)

Protecting GANs against privacy attacks by preventing overfitting. - Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Juan Lavista Ferres (CoRR, 2020)

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. - Xiyang Liu; Yixi Xu; Sumit Mukherjee; Juan Lavista Ferres (CoRR, 2020)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 2021)

privGAN: Protecting GANs from membership inference attacks at low cost to utility. - Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Nabajyoti Patowary; Juan Lavista Ferres (Proc. Priv. Enhancing Technol., 2021)

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. - Ivan S. Klyuzhin; Yixi Xu; Anthony Ortiz; Juan Lavista Ferres; Ghassan Hamarneh; Arman Rahmim (Comput. Methods Programs Biomed., 2022)

Mace: A flexible framework for membership privacy estimation in generative models. - Yixi Xu; Sumit Mukherjee; Xiyang Liu; Shruti Tople; Rahul Dodhia; Juan M. Lavista Ferres (Trans. Mach. Learn. Res., 2022)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo Hyun O; Carlos F. Uribe; Rahul Dodhia; Juan Lavista Ferres; Arman Rahmim (Image Processing, 2023)

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. - Shadab Ahamed; Yixi Xu; Claire Gowdy; Joo Hyun O; Ingrid Bloise; Don Wilson; Patrick Martineau; François Bénard; Fereshteh Yousefirizi; Rahul Dodhia; Juan M. Lavista Ferres; William B. Weeks; et al. (CoRR, 2023)

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. - Yixi Xu; Ivan S. Klyuzhin; Sara Harsini; Anthony Ortiz; Shun Zhang; François Bénard; Rahul Dodhia; Carlos F. Uribe; Arman Rahmim; Juan Lavista Ferres (Comput. Biol. Medicine, 2023)

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (ASMUS@MICCAI, 2024)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo H. O; Carlos F. Uribe; Rahul Dodhia; Juan Lavista Ferres; Arman Rahmim (CoRR, 2024)

IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images. - Shadab Ahamed; Yixi Xu; Arman Rahmim (CoRR, 2024)

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. - Mohammad R. Salmanpour; Sajad Amiri; Sara Gharibi; Ahmad Shariftabrizi; Yixi Xu; William B. Weeks; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (CoRR, 2025)

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality. - Yixi Xu; Al-Rahim Habib; Graeme Crossland; Hemi Patel; Chris Perry; Kris Bock; Tony Lian; William B. Weeks; Rahul Dodhia; Juan Lavista Ferres; Narinder Pal Singh (CoRR, 2025)