Pengfei Guo

发表

Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI

Denise C. Park, Binu P. Thomas, A. Hillis, 2022, npj Digit. Medicine.

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Vishal M. Patel, S. Harmon, H. Roth, 2022, ECCV.

Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients

M. Unberath, C. Eberhart, J. Blakeley, 2022, NeuroImage: Clinical.

Image saliency detection based on regional label fusion

Haitao Zhang, Pengfei Guo, Y. Wang, 2022, International Conference on Informatics Engineering and Information Science.

Learning-Based Analysis of Amide Proton Transfer-Weighted MRI to Identify Tumor Progression in Patients with Post-Treatment Malignant Gliomas

M. Unberath, J. Blakeley, Shanshan Jiang, 2022, SSRN Electronic Journal.

Radiomics analysis of amide proton transfer‐weighted and structural MR images for treatment response assessment in malignant gliomas

C. Eberhart, J. Blakeley, Yi Zhang, 2022, NMR in biomedicine.

On-the-Fly Test-time Adaptation for Medical Image Segmentation

Vishal M. Patel, Jeya Maria Jose Valanarasu, Pengfei Guo, 2022, ArXiv.

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Vishal M. Patel, Ramalingam Chellappa, Cheng Peng, 2022, MICCAI.

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

Vishal M. Patel, Jinyuan Zhou, Puyang Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation

H. Roth, Ali Hatamizadeh, Daguang Xu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

Vishal M. Patel, Pengfei Guo, Yiqun Mei, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer

Vishal M. Patel, Jinyuan Zhou, Shanshan Jiang, 2022, ArXiv.

Resource-Adaptive Federated Learning with All-In-One Neural Composition

Pengfei Guo, Mo Zhou, Yiqun Mei, 2022, NeurIPS.

Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Vishal M. Patel, Jinyuan Zhou, Puyang Wang, 2021, MICCAI.

Diagnostic performance of noninvasive imaging using computed tomography, magnetic resonance imaging, and positron emission tomography for the detection of ovarian cancer: a meta-analysis

Pengfei Guo, Lu Wang, Xiaoxiao Li, 2023, Annals of Nuclear Medicine.

Deep OCT image compression with convolutional neural networks.

Pengfei Guo, Dawei Li, Xingde Li, 2020, Biomedical optics express.

Customized OCT images compression scheme with deep neural network pdf

Dawei Li, Pengfei Guo, Xingde Li, 2019, ArXiv.

CEST2022: Amide proton transfer-weighted MRI improves the diagnostic performance of multiparametric non-contrast-enhanced MRI techniques in patients with post-treatment high-grade gliomas.

C. Bettegowda, P. V. van Zijl, Jinyuan Zhou, 2023, Magnetic resonance imaging.

Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout

Raviteja Vemulapalli, K. Singhal, W. Morningstar, 2023, ArXiv.

Radiomic feature reliability of amide proton transfer‐weighted MR images acquired with compressed sensing at 3 T

Shanshan Jiang, Pengfei Guo, Qi Huang, 2024, Int. J. Imaging Syst. Technol..

Discrete Gradient-Zeroing Neural Network Algorithms for Handling Future Quadratic Program as well as Robot Arm via Ten-Instant Formula

Pengfei Guo, Yunong Zhang, Zheng-an Yao, 2023, Journal of the Franklin Institute.

Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images

Pengfei Guo, Vishal M. Patel, Shanshan Jiang, 2020, MICCAI.