Ruogu Fang,
ASO PROF
Department:
EG-BIOMEDICAL ENGINEERING
Business Phone:
(352) 392-0584
Business Email:
ruogu.fang@ufl.edu
About Ruogu Fang
Related Links:
Accomplishments
Faculty Award for Excellence in Innovation
2022
·
Herbert Wertheim College of Engineering, University of Florida
Faculty Research Excellence Award
2022
·
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida
Artificial Intelligence Catalyst Award
2021
·
NVIDIA-University of Florida
IEEE Senior Member
2018
·
Institute of Electrical and Electronic Engineering
Top-ranked (#1) in “Fovea Detection” System, First International Diabetic Retinopathy Grading and Segmentation Challenge
2018
·
IEEE International Symposium of Biomedical Imaging
Top-ranked (#1) in “Optical Disc Segmentation” System, First International Diabetic Retinopathy Grading and Segmentation Challenge
2018
·
IEEE International Symposium of Biomedical Imaging
Inaugural Class of the ACM Future of Computing Academy
2017
·
Academy of Computing Machinery
Robin Sidhu Memorial Young Scientist Award
2017
·
Society of Brain Mapping and Therapeutics
Ralph Lowe Junior Faculty Enhancement Award
2016
·
Oak Ridge Associated Universities
CISE Research Initiation Initiative (CRII) Award
2015
·
National Science Foundation
Best Paper Award
2010
·
The 17th International Conference on Image Processing
Teaching Profile
Courses Taught
2017-2022
BME3053C Computer Applications for BME
2019
BME6905 Individual Work in Biomedical Engineering
2017-2019
BME7979 Advanced Research
2017-2019
EGN4912 Engineering Directed Independent Research
2019,2021-2022
BME6938 Special Topics in Biomedical Engineering
2017-2018
BME6940 Supervised Teaching
2018
GMS7979 Advanced Research
2018
EEL7979 Advanced Research
2023
BME4931 Special Topics in Biomedical Engineering
Research Profile
Open Researcher and Contributor ID (ORCID)
0000-0003-3980-3532
Publications
2022
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation
Neurocomputing.
469:209-220
[DOI] 10.1016/j.neucom.2021.10.076.
2022
PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-Low-Dose CT Restoration
Frontiers in Radiology.
2
[DOI] 10.3389/fradi.2022.904601.
2021
Baseline Neuroimaging Predicts Decline to Dementia From Amnestic Mild Cognitive Impairment.
Frontiers in aging neuroscience.
13
[DOI] 10.3389/fnagi.2021.758298.
[PMID] 34950021.
2021
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).
[DOI] 10.1109/ichi52183.2021.00089.
2021
Machine learning for physics-informed generation of dispersed multiphase flow using generative adversarial networks
Theoretical and Computational Fluid Dynamics.
35(6):807-830
[DOI] 10.1007/s00162-021-00593-9.
2021
Modular machine learning for Alzheimer’s disease classification from retinal vasculature.
Scientific reports.
11(1)
[DOI] 10.1038/s41598-020-80312-2.
[PMID] 33420208.
2021
Rotational and reflectional equivariant convolutional neural network for data-limited applications: Multiphase flow demonstration
Physics of Fluids.
33(10)
[DOI] 10.1063/5.0066049.
2021
TL1 Team Approach to Predicting Response to Spinal Cord Stimulation for Chronic Low Back Pain
Journal of Clinical and Translational Science.
5(s1):111-112
[DOI] 10.1017/cts.2021.685.
2021
Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.
NeuroImage.
245
[DOI] 10.1016/j.neuroimage.2021.118710.
[PMID] 34780917.
2020
A survey on medical image analysis in diabetic retinopathy.
Medical image analysis.
64
[DOI] 10.1016/j.media.2020.101742.
[PMID] 32540699.
2020
Artificial Intelligence for Characterizing Heart Failure in Cardiac Magnetic Resonance Images
Circulation.
142(Suppl_3)
[DOI] 10.1161/circ.142.suppl_3.15036.
2020
Domain-invariant interpretable fundus image quality assessment.
Medical image analysis.
61
[DOI] 10.1016/j.media.2020.101654.
[PMID] 32066065.
2020
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
Journal of the American Medical Informatics Association : JAMIA.
27(1):65-72
[DOI] 10.1093/jamia/ocz144.
[PMID] 31504605.
2020
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge.
Medical image analysis.
59
[DOI] 10.1016/j.media.2019.101561.
[PMID] 31671320.
2020
Low-rise gable roof buildings pressure prediction using deep neural networks
Journal of Wind Engineering and Industrial Aerodynamics.
196
[DOI] 10.1016/j.jweia.2019.104026.
2020
Machine learning and individual variability in electric field characteristics predict tDCS treatment response.
Brain stimulation.
13(6):1753-1764
[DOI] 10.1016/j.brs.2020.10.001.
[PMID] 33049412.
2020
Physiological wound assessment from coregistered and segmented tissue hemoglobin maps
Journal of the Optical Society of America A.
37(8)
[DOI] 10.1364/josaa.394985.
2020
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical image analysis.
59
[DOI] 10.1016/j.media.2019.101570.
[PMID] 31630011.
2020
TL1 Team Approach to Predicting Short-term and Long-term Effects of Spinal Cord Stimulation
Journal of Clinical and Translational Science.
4(s1):120-120
[DOI] 10.1017/cts.2020.362.
2020
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation)
Medical Imaging 2020: Image Processing.
[DOI] 10.1117/12.2549533.
2019
Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning
Scientific Reports.
9(1)
[DOI] 10.1038/s41598-019-39795-x.
[PMID] 30816296.
2019
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising
Medical Image Analysis.
54:306-315
[DOI] 10.1016/j.media.2019.03.004.
[PMID] 30981133.
2019
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study.
The Lancet. Digital health.
1(5):e222-e231
[DOI] 10.1016/s2589-7500(19)30105-0.
[PMID] 32259098.
2019
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector.
IEEE transactions on cybernetics.
49(7):2707-2719
[DOI] 10.1109/TCYB.2018.2833963.
[PMID] 29994327.
2019
STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion.
Frontiers in neurology.
10
[DOI] 10.3389/fneur.2019.00647.
[PMID] 31297079.
2018
Mining Big Neuron Morphological Data
Computational Intelligence and Neuroscience.
2018:1-13
[DOI] 10.1155/2018/8234734.
[PMID] 30034462.
2017
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion.
Neurocomputing.
229:13-22
[DOI] 10.1016/j.neucom.2016.03.109.
[PMID] 32523255.
2015
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization
IEEE Transactions on Medical Imaging.
34(7):1533-1548
[DOI] 10.1109/tmi.2015.2405015.
2015
Sparsity techniques in medical imaging.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
46 Pt 1(Pt 1)
[DOI] 10.1016/j.compmedimag.2015.07.002.
[PMID] 26216851.
2015
Tissue-specific sparse deconvolution for brain CT perfusion
Computerized Medical Imaging and Graphics.
46:64-72
[DOI] 10.1016/j.compmedimag.2015.04.008.
2014
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.
Medical image analysis.
18(6):866-80
[DOI] 10.1016/j.media.2013.09.008.
[PMID] 24200529.
2014
Tensor total-variation regularized deconvolution kegularlzea ueconvolution for efficient low-dose CT perfusion.
Medical image computing and computer-assisted intervention : MICCAI … International Conference on Medical Image Computing and Computer-Assisted Intervention.
17(Pt 1):154-61
[PMID] 25333113.
2013
Tissue-specific sparse deconvolution for low-dose CT perfusion.
Medical image computing and computer-assisted intervention : MICCAI … International Conference on Medical Image Computing and Computer-Assisted Intervention.
16(Pt 1):114-21
[PMID] 24505656.
2013
Towards robust deconvolution of low-dose perfusion CT: sparse perfusion deconvolution using online dictionary learning.
Medical image analysis.
17(4):417-28
[DOI] 10.1016/j.media.2013.02.005.
[PMID] 23542422.
2012
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries.
Medical image computing and computer-assisted intervention : MICCAI … International Conference on Medical Image Computing and Computer-Assisted Intervention.
15(Pt 1):272-80
[PMID] 23285561.
Grants
Mar 2022
ACTIVE
Multi-Scale Evaluation and Mitigation of Toxicities Following Internal Radionuclide Contamination
Role: Co-Investigator
Funding: NORTHWESTERN UNIV
via NATL INST OF HLTH NIAID
Oct 2021
ACTIVE
Collaborative Research: SCH: Trustworthy and Explainable AI for Neurodegenerative Diseases
Role: Co-Investigator
Funding: NATL SCIENCE FOU
Sep 2021
ACTIVE
Southern HIV and Alcohol Research Consortium Biomedical Data Repository
Role: Co-Investigator
Funding: NATL INST OF HLTH NIAAA
Sep 2021
ACTIVE
Interventions to improve alcohol-related comorbidities along the gut-brain axis in persons with HIV infection
Role: Co-Investigator
Funding: NATL INST OF HLTH NIAAA
Sep 2021
ACTIVE
SHARE Program: Innovations in Translational Behavioral Science to Improve Self-management of HIV and Alcohol Reaching Emerging adults
Role: Other
Funding: FL STATE UNIV
via NATL INST OF HLTH NIAAA
Aug 2021
ACTIVE
Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
Role: Co-Investigator
Funding: NATL INST OF HLTH NIMH
Jun 2021
ACTIVE
Mechanisms, response heterogeneity and dosing from MRI-derived electric field models in tDCS augmented cognitive training: a secondary data analysis of the ACT study
Role: Principal Investigator
Funding: NATL INST OF HLTH NIA
Apr 2021
ACTIVE
Web-based Automated Imaging Differentiation of Parkinsonism
Role: Co-Investigator
Funding: NATL INST OF HLTH NINDS
Jan 2021
ACTIVE
Artificial Intelligence Research Catalyst Fund
Role: Project Manager
Funding: UF RESEARCH
May 2020
ACTIVE
Forecasting trajectories of HIV transmission networks with a novel phylodynamic and deep learning framework
Role: Project Manager
Funding: NATL INST OF HLTH NIAID
Oct 2019
ACTIVE
III: Small: Modeling Multi-Level Connectivity of Brain Dynamics
Role: Principal Investigator
Funding: NATL SCIENCE FOU
Jun 2017
– Apr 2019
CRII: SCH:Characterizing, Modeling and Evaluating Brain Dynamics
Role: Principal Investigator
Funding: NATL SCIENCE FOU
Apr 2017
ACTIVE
HSC COM Matching Commitment
Role: Project Manager
Funding: UNIV OF FLORIDA
Apr 2017
– Jun 2021
OoR CTSI Institutional Matching Support
Role: Project Manager
Funding: UF DIV OF SPONSORED RES MATCHING FUNDS
Contact Details
Phones:
- Business:
- (352) 392-0584
Emails:
- Business:
- ruogu.fang@ufl.edu
Addresses:
- Business Mailing:
-
PO Box 118205
GAINESVILLE FL 32611 - Business Street:
-
BMS BLDG J287
1275 CENTER DR
Gainesville FL 32611