Yixi Xu

According to our database, Yixi Xu authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images.

Shadab Ahamed, Yixi Xu, Arman Rahmim

CoRR, 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

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

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

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, May, 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, Carlos F. Uribe, Arman Rahmim

CoRR, 2023

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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

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

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

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

Becoming Good at AI for Good.

Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. 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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models.

Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres

CoRR, 2020

Protecting GANs against privacy attacks by preventing overfitting.

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres

CoRR, 2020

2018

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.

Yixi Xu, Xiao Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Statistical Efficiency of Compositional Nonparametric Prediction.

Yixi Xu, Jean Honorio, Xiao Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018