Ruogu Fang

Ruogu Fang,

ASO PROF

Department: EG-BIOMEDICAL ENGINEERING
Business Phone: (352) 392-0584
Business Email: ruogu.fang@ufl.edu

About Ruogu Fang

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