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
2019,2021-2024
BME6938 Special Topics in Biomedical Engineering
2017-2018
BME6940 Supervised Teaching
2018
GMS7979 Advanced Research
2018
EEL7979 Advanced Research
2023
CIS6930 Special Topics in CIS
2023-2024
BME4931 Special Topics in Biomedical Engineering
Research Profile
Open Researcher and Contributor ID (ORCID)
0000-0003-3980-3532
Publications
2024
Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging.
Scientific reports.
14(1)
[DOI] 10.1038/s41598-024-54251-1.
[PMID] 38351326.
2024
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects
PLOS Computational Biology.
20(3)
[DOI] 10.1371/journal.pcbi.1011943.
[PMID] 38547053.
2024
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.
bioRxiv : the preprint server for biology.
[DOI] 10.1101/2023.04.16.537079.
[PMID] 37163104.
2024
Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images.
Scientific reports.
14(1)
[DOI] 10.1038/s41598-024-58121-8.
[PMID] 38565579.
2024
Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep Learning.
Imaging neuroscience (Cambridge, Mass.).
2
[DOI] 10.1162/imag_a_00090.
[PMID] 38465203.
2023
Association of longitudinal cognitive decline with diffusion MRI in Gray Matter, Amyloid, and Tau deposition.
Neurobiology of aging.
121:166-178
[DOI] 10.1016/j.neurobiolaging.2022.10.013.
[PMID] 36455492.
2023
DOMINO: Domain-aware loss for deep learning calibration
Software Impacts.
15
[DOI] 10.1016/j.simpa.2023.100478.
[PMID] 37091721.
2023
Editorial: Frontiers of women in brain imaging and brain stimulation.
Frontiers in human neuroscience.
17
[DOI] 10.3389/fnhum.2023.1208253.
[PMID] 37266325.
2023
Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning
npj Digital Medicine.
6(1)
[DOI] 10.1038/s41746-023-00953-1.
[PMID] 37978250.
2023
Machine-learning defined precision tDCS for improving cognitive function
Brain Stimulation.
16(3):969-974
[DOI] 10.1016/j.brs.2023.05.020.
2023
Medical Imaging Denoising
Medical Image Synthesis.
99-119
[DOI] 10.1201/9781003243458-10.
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
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
BMC medical informatics and decision making.
22(Suppl 3)
[DOI] 10.1186/s12911-022-01996-2.
[PMID] 36167551.
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.
[PMID] 37492656.
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
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
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
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.
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
Tissue-specific sparse deconvolution for brain CT perfusion
Computerized Medical Imaging and Graphics.
46:64-72
[DOI] 10.1016/j.compmedimag.2015.04.008.
Grants
Jan 2024
ACTIVE
Identification of Prospective Predictors of Alcohol Initiation During Early Adolescence
Role: Other
Funding: NATL INST OF HLTH NIAAA
Sep 2023
ACTIVE
NCS-FO: Brain-Inspired Goal-Oriented and Bidirectional Deep Emotion Inference
Role: Principal Investigator
Funding: NATL SCIENCE FOU
May 2023
ACTIVE
Using Artificial Intelligence to Predict Cognitive Training Response in Amnestic Mild Cognitive Impairment
Role: Other
Funding: NATL INST OF HLTH NIA
May 2023
ACTIVE
Cognitively engaging walking exercise and neuromodulation to enhance brain function in older adults
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
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
– Dec 2022
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