Wei Shao

Wei Shao,

Assistant Professor

Department: MD-MED QUANTITATIVE HEALTH
Business Phone: (352) 273-5354
Business Email: weishao@ufl.edu

Accomplishments

Runner-up Award
2021 · The Learn2Reg 2021 Grand Challenge, the MICCAI Society
Winner Award
2019 · The CTVIE19 Grand Challenge, AAPM, USA
China National Scholarship
2012 · Ministry of Education of the People’s Republic of China, China
First Prize in Jiangsu Province Undergraduate Electronic Design Contest
2012 · Jiangsu Provincial Department of Education, Jiangsu Province, China
First Prize in Jiangsu Province Undergraduate Mathematics Contest
2012 · Jiangsu Provincial Department of Education, Jiangsu Province, China
First Prize in National Senior High School Mathematics Contest
2009 · Jiangsu Mathematical Society, Jiangsu Province, China

Teaching Profile

Courses Taught
2023
EEL6935 Special Topics in Electrical Engineering

Research Profile

Dr. Shao’s research focuses on developing artificial intelligence methods in medical imaging to improve patient care. His current research projects include: (a) developing machine learning algorithms for multimodal image registration, multi-object image segmentation, and image-to-image translation, etc. (b) developing machine learning algorithms for accurate and fast disease diagnosis on medical images, (c) integrating image processing algorithms into clinical workflows.

Open Researcher and Contributor ID (ORCID)

0000-0003-4931-4839

Areas of Interest
  • Deep Learning
  • Image Registration
  • Image Segmentation
  • Image-based Disease Diagnosis
  • Medical Image Analysis
  • Medical Imaging

Publications

2024
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
Computerized Medical Imaging and Graphics. 112 [DOI] 10.1016/j.compmedimag.2024.102326.
2024
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate
Computers in Biology and Medicine. 173 [DOI] 10.1016/j.compbiomed.2024.108318. [PMID] 38522253.
2024
Volumetric Analysis of Acute Uncomplicated Type B Aortic Dissection Using an Automated Deep Learning Aortic Zone Segmentation Model.
Journal of vascular surgery. [DOI] 10.1016/j.jvs.2024.06.001. [PMID] 38851467.
2023
MP55-12 IMPROVING AUTOMATIC DETECTION OF PROSTATE CANCER ON MRI WITH CLINICAL HISTORY
Journal of Urology. 209(Supplement 4) [DOI] 10.1097/ju.0000000000003308.12.
2023
Quantifying robustness of CT-ventilation biomarkers to image noise
Frontiers in Physiology. 14 [DOI] 10.3389/fphys.2023.1040028. [PMID] 36866176.
2023
Robust quantification of CT‐ventilation biomarker techniques and repeatability in a porcine model
Medical Physics. [DOI] 10.1002/mp.16400.
2022
A review of artificial intelligence in prostate cancer detection on imaging
Therapeutic Advances in Urology. 14 [DOI] 10.1177/17562872221128791. [PMID] 36249889.
2022
Bridging the gap between prostate radiology and pathology through machine learning
Medical Physics. [DOI] 10.1002/mp.15777.
2022
Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning
Cancers. 14(12):2821-2821 [DOI] https://doi.org/10.3390/cancers14122821.
2022
Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine
Briefings in Bioinformatics. 23(5) [DOI] 10.1093/bib/bbac331.
2022
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI
Medical Imaging 2022: Computer-Aided Diagnosis. [DOI] 10.1117/12.2612433.
2022
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
IEEE Transactions on Medical Imaging. 42(3):1-1 [DOI] 10.1109/tmi.2022.3213983.
2022
PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI
Journal of Urology. 207(Supplement 5) [DOI] 10.1097/ju.0000000000002601.03.
2022
Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS
Journal of Imaging. 8(11) [DOI] 10.3390/jimaging8110309. [PMID] 36422058.
2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework
Medical Image Analysis. 75 [DOI] 10.1016/j.media.2021.102288. [PMID] 34784540.
2022
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team)
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis. 168-173 [DOI] 10.1007/978-3-030-97281-3_24.
2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction
Medical Image Analysis. 69 [DOI] 10.1016/j.media.2021.101957. [PMID] 33550008.
2021
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
Medical Physics. 48(6):2960-2972 [DOI] 10.1002/mp.14855. [PMID] 33760269.
2021
Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy
Journal of Urology. 206(3):604-612 [DOI] 10.1097/ju.0000000000001783.
2021
Effects of Lung Injury on Regional Aeration and Expiratory Time Constants: Insights From Four-Dimensional Computed Tomography Image Registration
Frontiers in Physiology. 12 [DOI] 10.3389/fphys.2021.707119. [PMID] 34393824.
2021
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts
Medical Image Analysis. 72 [DOI] 10.1016/j.media.2021.102140. [PMID] 34214957.
2021
MP43-02 LESSONS LEARNED IN APPLYING DEEP LEARNING TO FACILITATE PROSTATE MR-US FUSION BIOPSY WORKFLOW
Journal of Urology. 206(Supplement 3) [DOI] 10.1097/ju.0000000000002064.02.
2021
ProGNet: prostate gland segmentation on MRI with deep learning
Medical Imaging 2021: Image Processing. [DOI] 10.1117/12.2580448.
2021
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
Medical Image Analysis. 68 [DOI] 10.1016/j.media.2020.101919. [PMID] 33385701.
2021
Vision-Based Intelligent Perceiving and Planning System of a 7-DoF Collaborative Robot.
Computational intelligence and neuroscience. 2021 [DOI] 10.1155/2021/5810371. [PMID] 34630547.
2021
Weakly Supervised Registration of Prostate MRI and Histopathology Images
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. 98-107 [DOI] 10.1007/978-3-030-87202-1_10.
2020
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. 315-325 [DOI] 10.1007/978-3-030-59713-9_31.
2020
N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation
IEEE Transactions on Medical Imaging. 39(6):2025-2034 [DOI] 10.1109/tmi.2019.2963083.
2020
Prostate Cancer Detection in Screening Using Magnetic Resonance Imaging and Artificial Intelligence
The Open Artificial Intelligence Journal. 6(1):1-11 [DOI] 10.2174/1874061802006010001.
2020
Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation
Frontiers in Physiology. 11 [DOI] 10.3389/fphys.2020.00014. [PMID] 32153417.
2020
Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI
Medical Physics. 47(9):4177-4188 [DOI] 10.1002/mp.14337. [PMID] 32564359.
2019
Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr
ISPRS International Journal of Geo-Information. 8(1) [DOI] 10.3390/ijgi8010045.
2019
Nondestructive Measurement of Conformal Coating Thickness on Printed Circuit Board With Ultra-High Resolution Optical Coherence Tomography
IEEE Access. 7:18138-18145 [DOI] 10.1109/access.2019.2896622.
2018
Detecting Out-of-Phase Ventilation Using 4DCT to Improve Radiation Therapy for Lung Cancer
Image Analysis for Moving Organ, Breast, and Thoracic Images. 251-259 [DOI] 10.1007/978-3-030-00946-5_25.
2018
Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations
Medical Physics. 45(10):4483-4492 [DOI] 10.1002/mp.13105. [PMID] 30047588.
2018
Sensitivity analysis of Jacobian determinant used in treatment planning for lung cancer
Medical Imaging 2018: Image Processing. [DOI] 10.1117/12.2293920.
2016
Population Shape Collapse in Large Deformation Registration of MR Brain Images
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). [DOI] 10.1109/cvprw.2016.75.

Education

Postdoctoral Training in Deep Learning and Medical Imaging
2022 · Stanford University
Ph.D. in Electrical and Computer Engineering
2019 · University of Iowa
M.S. in Mathematics
2018 · University of Iowa
M.S. in Electrical and Computer Engineering
2016 · University of Iowa

Contact Details

Phones:
Business:
(352) 273-5354
Emails:
Business:
weishao@ufl.edu
Addresses:
Business Street:
1600 SW Archer Road Rm – CG-98
PO BOX 100224
Dr. WEI SHAO, UF NEPHROLOGY
GAINESVILLE FL 32610