Ruogu Fang
Orcid: 0000-0003-3980-3532
According to our database1,
Ruogu Fang
authored at least 64 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning.
npj Digit. Medicine, 2023
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging.
CoRR, 2023
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
2022
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
BMC Medical Informatics Decis. Mak., 2022
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation.
Neurocomputing, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
2021
Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.
NeuroImage, 2021
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
2020
Medical Image Anal., 2020
Medical Image Anal., 2020
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal., 2020
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
J. Am. Medical Informatics Assoc., 2020
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection.
CoRR, 2020
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation).
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE Trans. Cybern., 2019
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.
Medical Image Anal., 2019
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion.
CoRR, 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR, 2019
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning.
IEEE Trans. Medical Imaging, 2018
IET Image Process., 2018
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 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
Pattern Recognit., 2017
Neurocomputing, 2017
Neurocomputing, 2017
CoRR, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
2016
ACM Comput. Surv., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization.
IEEE Trans. Medical Imaging, 2015
Comput. Medical Imaging Graph., 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.
Medical Image Anal., 2014
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning.
Medical Image Anal., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
2010
Proceedings of the International Conference on Image Processing, 2010