Yixi Xu

22 papers A* 1A 1B 1C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.
Int. J. Comput. Assist. Radiol. Surg.
Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu
2025 J jnl
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer.
CoRR
Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu
2025 J jnl
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.
CoRR
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
2025 J jnl
Using machine learning models to predict coronary artery calcium scores in firefighters.
Health Informatics J.
Mingyue Li, Jiali Han, Carolyn Muegge, Terrell Zollinger, Yixi Xu, Laura Y. Zhou, Patrick Monahan, Jennifer Wessel, Vanessa Kleinschmidt, Steven Moffatt, Hongmei Nan
2024 J jnl
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2024 J jnl
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0.
CoRR
Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi, Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu
2024 — conf
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer.
ASMUS@MICCAI
Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu
2024 J jnl
IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images.
CoRR
Shadab Ahamed, Yixi Xu, Arman Rahmim
2023 B conf
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Image Processing
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2023 J jnl
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan M. Lavista Ferres
2023 J jnl
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR
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
2022 J jnl
Mace: A flexible framework for membership privacy estimation in generative models.
Trans. Mach. Learn. Res.
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.
Comput. Methods Programs Biomed.
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan M. Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
2021 C conf
Becoming Good at AI for Good.
AIES
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
2021 J jnl
Becoming Good at AI for Good.
CoRR
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
2021 J jnl
privGAN: Protecting GANs from membership inference attacks at low cost to utility.
Proc. Priv. Enhancing Technol.
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan M. Lavista Ferres
2020 J jnl
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models.
CoRR
Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan M. Lavista Ferres
2020 J jnl
Protecting GANs against privacy attacks by preventing overfitting.
CoRR
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
2018 A conf
On the Statistical Efficiency of Compositional Nonparametric Prediction.
AISTATS
Yixi Xu, Jean Honorio, Xiao Wang
2018 A* conf
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.
NeurIPS
Yixi Xu, Xiao Wang
2018 J jnl
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units.
CoRR
Yixi Xu, Xiao Wang
2017 J jnl
Statistical Efficiency of Compositional Nonparametric Prediction.
CoRR
Yixi Xu, Jean Honorio, Xiao Wang