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Yixi Xu
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2020 – today
- 2024
- [c5]Mohammad R. Salmanpour
, Amin Mousavi, Yixi Xu
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 2024: 24-34 - [i8]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 abs/2403.07105 (2024) - [i7]Shadab Ahamed, Yixi Xu, Arman Rahmim:
IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images. CoRR abs/2405.00239 (2024) - 2023
- [j4]Yixi Xu
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: 106882 (2023) - [c4]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 - [i6]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:
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR abs/2311.09614 (2023) - 2022
- [j3]Ivan S. Klyuzhin
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219: 106750 (2022) - [j2]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) - 2021
- [j1]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): 142-163 (2021) - [c3]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:
Becoming Good at AI for Good. AIES 2021: 664-673 - [i5]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:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - 2020
- [i4]Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres:
Protecting GANs against privacy attacks by preventing overfitting. CoRR abs/2001.00071 (2020) - [i3]Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres:
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. CoRR abs/2009.05683 (2020)
2010 – 2019
- 2018
- [c2]Yixi Xu, Jean Honorio
On the Statistical Efficiency of Compositional Nonparametric Prediction. AISTATS 2018: 1531-1539 - [c1]Yixi Xu, Xiao Wang:
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. NeurIPS 2018: 130-139 - [i2]Yixi Xu, Xiao Wang:
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. CoRR abs/1810.01877 (2018) - 2017
- [i1]Yixi Xu, Jean Honorio, Xiao Wang:
Statistical Efficiency of Compositional Nonparametric Prediction. CoRR abs/1704.01896 (2017)
Coauthor Index
aka: Juan M. Lavista Ferres
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