Wei Shao

Orcid: 0000-0003-4931-4839

Affiliations:
  • University of Iowa, Department of Electrical and Computer Engineering, Iowa City, IA, USA


According to our database1, Wei Shao authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal., 2022

Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS.
J. Imaging, 2022

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.
Briefings Bioinform., 2022

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal., 2021

Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts.
Medical Image Anal., 2021

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal., 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

Bridging the gap between prostate radiology and pathology through machine learning.
CoRR, 2021

ProGNet: prostate gland segmentation on MRI with deep learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team).
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Weakly Supervised Registration of Prostate MRI and Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation.
IEEE Trans. Medical Imaging, 2020

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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 Int. J. Geo Inf., 2019

Nondestructive Measurement of Conformal Coating Thickness on Printed Circuit Board With Ultra-High Resolution Optical Coherence Tomography.
IEEE Access, 2019

2018
Sensitivity analysis of Jacobian determinant used in treatment planning for lung cancer.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Detecting Out-of-Phase Ventilation Using 4DCT to Improve Radiation Therapy for Lung Cancer.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2016
Population Shape Collapse in Large Deformation Registration of MR Brain Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016


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