Peng Liu

Orcid: 0000-0003-3548-8619

Affiliations:
  • University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesvill, FL, USA


According to our database1, Peng Liu authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.
PLoS Comput. Biol., 2024

BrainSegFounder: Towards 3D foundation models for neuroimage segmentation.
Medical Image Anal., 2024

BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis.
CoRR, 2024

2022
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation.
Neurocomputing, 2022

2020
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection.
CoRR, 2020

2019
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.
Medical Image Anal., 2019

KRNET: Image Denoising with Kernel Regulation Network.
CoRR, 2019

Image Restoration Using Deep Regulated Convolutional Networks.
CoRR, 2019

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising.
CoRR, 2017

Wide Inference Network for Image Denoising.
CoRR, 2017


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