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
2023-2025
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.
Areas of Interest
- Deep Learning
- Image Registration
- Image Segmentation
- Image-based Disease Diagnosis
- Medical Image Analysis
- Medical Imaging
Publications
Academic Articles
2024
A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention
Computers in Biology and Medicine.
182
[DOI] 10.1016/j.compbiomed.2024.109173.
2024
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
118
[DOI] 10.1016/j.compmedimag.2024.102470.
[PMID] 39579454.
2024
Intraprocedural Diffusion-weighted Imaging for Predicting Ablation Zone during MRI-guided Focused Ultrasound of Prostate Cancer.
Radiology. Imaging cancer.
6(5)
[DOI] 10.1148/rycan.240009.
[PMID] 39212524.
2024
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
112
[DOI] 10.1016/j.compmedimag.2024.102326.
[PMID] 38211358.
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.
80(4):1025-1034.e4
[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.
Grants
Sep 2024
ACTIVE
Artificial Intelligence Passport for Biomedical Research (AIPassportBMR ): Digital Experiential Learning Community for Upskilling in Artificial Intelligence for Biomedical, Behavioral and Clinical Research
Role: Project Manager
Funding: NATL INST OF HLTH NIGMS
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