Ruogu Fang

Orcid: 0000-0003-3980-3532

According to our database1, Ruogu Fang authored at least 70 papers between 2010 and 2024.

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

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Legend:

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Links

Online presence:

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Bibliography

2024
DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction.
PLoS Comput. Biol., 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

Texture and motion aware perception in-loop filter for AV1.
J. Vis. Commun. Image Represent., 2024

A Comprehensive Survey of Foundation Models in Medicine.
CoRR, 2024

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

Morphological profiling for drug discovery in the era of deep learning.
Briefings Bioinform., 2024

Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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
DOMINO: Domain-aware loss for deep learning calibration.
Softw. Impacts, March, 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

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Distributed Pruning Towards Tiny Neural Networks in Federated Learning.
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

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models.
CoRR, 2022

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation.
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
A survey on medical image analysis in diabetic retinopathy.
Medical Image Anal., 2020

Domain-invariant interpretable fundus image quality assessment.
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
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector.
IEEE Trans. Cybern., 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

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

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
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning.
IEEE Trans. Medical Imaging, 2018

Automatic choroid layer segmentation using normalized graph cut.
IET Image Process., 2018

Mining Big Neuron Morphological Data.
Comput. Intell. Neurosci., 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
Indexing and mining large-scale neuron databases using maximum inner product search.
Pattern Recognit., 2017

Abdominal adipose tissues extraction using multi-scale deep neural network.
Neurocomputing, 2017

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion.
Neurocomputing, 2017

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

Wide Inference Network for Image Denoising.
CoRR, 2017

STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2016
Computational Health Informatics in the Big Data Age: A Survey.
ACM Comput. Surv., 2016

Maximum inner product search for morphological retrieval of large-scale neuron data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Direct estimation of permeability maps for low-dose CT perfusion.
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

Tissue-specific sparse deconvolution for brain CT perfusion.
Comput. Medical Imaging Graph., 2015

Sparsity techniques in medical imaging.
Comput. Medical Imaging Graph., 2015

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction.
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

Leveraging coupled multi-index for scalable retrieval of mammographic masses.
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

Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Kinship classification by modeling facial feature heredity.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries.
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
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

2010
Towards computational models of kinship verification.
Proceedings of the International Conference on Image Processing, 2010


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