| privGAN: Protecting GANs from membership inference attacks at low cost to utility S Mukherjee, Y Xu, A Trivedi, N Patowary, JL Ferres Proceedings on Privacy Enhancing Technologies, 2021 | 80* | 2021 |
| Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss Y Xu, I Klyuzhin, S Harsini, A Ortiz, S Zhang, F Bénard, R Dodhia, ... Computers in Biology and Medicine 158, 106882, 2023 | 24 | 2023 |
| Testing the ability of convolutional neural networks to learn radiomic features IS Klyuzhin, Y Xu, A Ortiz, JL Ferres, G Hamarneh, A Rahmim Computer Methods and Programs in Biomedicine 219, 106750, 2022 | 21 | 2022 |
| Reimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data RR Barbieri, Y Xu, L Setian, PT Souza-Santos, A Trivedi, J Cristofono, ... The Lancet Regional Health–Americas 9, 2022 | 21 | 2022 |
| Becoming good at AI for good M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021 | 19 | 2021 |
| Statistical modeling of the fuel flow rate of GA piston engine aircraft using flight operational data C Huang, Y Xu, ME Johnson Transportation Research Part D: Transport and Environment 53, 50-62, 2017 | 17 | 2017 |
| Mace: A flexible framework for membership privacy estimation in generative models Y Xu, S Mukherjee, X Liu, S Tople, R Dodhia, JL Ferres arXiv preprint arXiv:2009.05683, 2020 | 13 | 2020 |
| Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19 Y Xu, A Trivedi, N Becker, M Blazes, JL Ferres, A Lee, W Conrad Liles, ... Scientific Reports 12 (1), 16913, 2022 | 12 | 2022 |
| Understanding weight normalized deep neural networks with rectified linear units Y Xu, X Wang Advances in neural information processing systems 31, 2018 | 11 | 2018 |
| Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy AR Habib, Y Xu, K Bock, S Mohanty, T Sederholm, WB Weeks, R Dodhia, ... Scientific reports 13 (1), 5368, 2023 | 8 | 2023 |
| Sparse deep neural networks using l 1,∞-weight normalization M Wen, Y Xu, Y Zheng, Z Yang, X Wang Statistica Sinica 31 (3), 1397-1414, 2021 | 6* | 2021 |
| Unsupervised background removal by dual-modality PET/CT guidance: application to PSMA imaging of metastases I Klyuzhin, Y Xu, S Harsini, A Ortiz, C Uribe, JL Ferres, A Rahmim Journal of Nuclear Medicine 62 (supplement 1), 36-36, 2021 | 5 | 2021 |
| Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images S Ahamed, Y Xu, C Gowdy, I Bloise, D Wilson, P Martineau, F Bénard, ... arXiv preprint arXiv:2311.09614, 2023 | 3 | 2023 |
| Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors S Mukherjee, M Kshirsagar, N Becker, Y Xu, WB Weeks, S Patel, ... BMC Public Health 22 (1), 2394, 2022 | 3 | 2022 |
| Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer MR Salmanpour, A Mousavi, Y Xu, WB Weeks, I Hacihaliloglu International Workshop on Advances in Simplifying Medical Ultrasound, 24-34, 2024 | 2 | 2024 |
| Weight normalized deep neural networks Y Xu, X Wang Stat 10 (1), e344, 2021 | 2 | 2021 |
| Automatic lesion detection and segmentation in PSMA PET/CT images using deep neural networks Y Xu, I Klyuzhin, S Harsini, A Ortiz, A Rahmim, JL Ferres EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021 | 2 | 2021 |
| Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm M Kshirsagar, A Meller, I Humphreys, S Sledzieski, Y Xu, R Dodhia, ... Research Square, 2024 | 1 | 2024 |
| Towards enhanced lesion segmentation using a 3D neural network trained on multi-resolution cropped patches of lymphoma PET images S Ahamed, Y Xu, W Weeks, R Dodhia, J Ferres, A Rahmim Journal of Nuclear Medicine 64 (supplement 1), P1360-P1360, 2023 | 1 | 2023 |
| A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset S Ahamed, Y Xu, I Bloise, HO Joo, CF Uribe, R Dodhia, JL Ferres, ... Medical Imaging 2023: Image Processing 12464, 406-415, 2023 | 1 | 2023 |