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GANPOP: Generative Adversarial Network Prediction of Optical Properties
  from Single Snapshot Wide-field Images
v1v2 (latest)

GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images

IEEE Transactions on Medical Imaging (TMI), 2019
12 June 2019
Mason T. Chen
Faisal Mahmood
Jordan A. Sweer
Nicholas J. Durr
ArXiv (abs)PDFHTML

Papers citing "GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images"

4 / 4 papers shown
Title
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
M. Golhar
Lucas Sebastian Galeano Fretes
Loren Ayers
V. Akshintala
Taylor L. Bobrow
Nicholas J. Durr
133
3
0
30 Jun 2025
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Taylor L. Bobrow
M. Golhar
R. Vijayan
V. Akshintala
J. García
Nicholas J. Durr
236
88
0
17 Jun 2022
Phase function estimation from a diffuse optical image via deep learning
Phase function estimation from a diffuse optical image via deep learningPhysics in Medicine and Biology (PMB), 2021
Yuxuan Liang
Chuang Niu
Chen Wei
Shenghan Ren
W. Cong
Ge Wang
107
3
0
16 Nov 2021
Brain Stroke Lesion Segmentation Using Consistent Perception Generative
  Adversarial Network
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
Shuqiang Wang
Zhuo Chen
Wen Yu
Baiying Lei
GANMedIm
243
66
0
30 Aug 2020
1