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Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty
  Quantification

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification

International Conference on Medical Imaging with Deep Learning (MIDL), 2023
6 March 2023
Rafael Orozco
M. Louboutin
Ali Siahkoohi
G. Rizzuti
Tristan van Leeuwen
Felix J. Herrmann
    OOD
ArXiv (abs)PDFHTML

Papers citing "Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification"

7 / 7 papers shown
Title
BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography
BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography
Shengyu Chen
Shihang Feng
Yi Luo
Xiaowei Jia
Youzuo Lin
56
0
0
22 Oct 2025
InvertibleNetworks.jl: A Julia package for scalable normalizing flows
InvertibleNetworks.jl: A Julia package for scalable normalizing flows
Rafael Orozco
Philipp A. Witte
M. Louboutin
Ali Siahkoohi
G. Rizzuti
Bas Peters
Felix J. Herrmann
140
9
0
20 Dec 2023
WISE: full-Waveform variational Inference via Subsurface Extensions
WISE: full-Waveform variational Inference via Subsurface Extensions
Ziyi Yin
Rafael Orozco
M. Louboutin
Felix J. Herrmann
195
17
0
11 Dec 2023
Inference of CO2 flow patterns -- a feasibility study
Inference of CO2 flow patterns -- a feasibility study
A. Gahlot
Huseyin Tuna Erdinc
Rafael Orozco
Ziyi Yin
Felix J. Herrmann
136
7
0
01 Nov 2023
Solving multiphysics-based inverse problems with learned surrogates and
  constraints
Solving multiphysics-based inverse problems with learned surrogates and constraintsAdvanced Modeling and Simulation in Engineering Sciences (AMSES), 2023
Ziyi Yin
Rafael Orozco
M. Louboutin
Felix J. Herrmann
AI4CE
254
14
0
18 Jul 2023
Refining Amortized Posterior Approximations using Gradient-Based Summary
  Statistics
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics
Rafael Orozco
Ali Siahkoohi
M. Louboutin
Felix J. Herrmann
171
3
0
15 May 2023
Learned multiphysics inversion with differentiable programming and
  machine learning
Learned multiphysics inversion with differentiable programming and machine learningThe Leading Edge (LE), 2023
M. Louboutin
Ziyi Yin
Rafael Orozco
Thomas J. Grady
Ali Siahkoohi
G. Rizzuti
Philipp A. Witte
O. Møyner
Gerard Gorman
Felix J. Herrmann
AI4CE
197
13
0
12 Apr 2023
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