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Improved unsupervised physics-informed deep learning for intravoxel
  incoherent motion modeling and evaluation in pancreatic cancer patients
v1v2 (latest)

Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

3 November 2020
Misha P. T. Kaandorp
S. Barbieri
R. Klaassen
H. Laarhoven
H. Crezee
P. T. While
A. Nederveen
O. Gurney-Champion
ArXiv (abs)PDFHTML

Papers citing "Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients"

13 / 13 papers shown
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
Nicola Casali
Alessandro Brusaferri
Giuseppe Baselli
Stefano Fumagalli
Edoardo Micotti
Gianluigi Forloni
Riaz Hussein
Giovanna Rizzo
Alfonso Mastropietro
284
0
0
06 Aug 2025
SCREENER: A general framework for task-specific experiment design in
  quantitative MRI
SCREENER: A general framework for task-specific experiment design in quantitative MRI
Tianshu Zheng
Zican Wang
T. Bray
Daniel C. Alexander
Dan Wu
Hui Zhang
108
0
0
06 Aug 2024
PINNs for Medical Image Analysis: A Survey
PINNs for Medical Image Analysis: A Survey
C. Banerjee
Kien Nguyen
Olivier Salvado
Truyen Tran
Clinton Fookes
AI4CE
300
10
0
02 Aug 2024
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural
  Network
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network
Zehuan Zhang
Matej Genci
Hongxiang Fan
A. Wetscherek
Wayne Luk
212
0
0
07 Jul 2024
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis:
  A review
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A reviewIEEE Transactions on Automation Science and Engineering (T-ASE), 2024
Lingchao Mao
Hairong Wang
Leland S. Hu
Nhan L Tran
Peter D Canoll
Kristin R Swanson
Jing Li
317
16
0
12 Jan 2024
Probabilistic Physics-integrated Neural Differentiable Modeling for
  Isothermal Chemical Vapor Infiltration Process
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Processnpj Computational Materials (npj Comput Mater), 2023
Deepak Akhare
Zeping Chen
R. Gulotty
Tengfei Luo
Jian-Xun Wang
AI4CE
326
15
0
13 Nov 2023
Rician likelihood loss for quantitative MRI using self-supervised deep
  learning
Rician likelihood loss for quantitative MRI using self-supervised deep learningNMR in Biomedicine (NMR Biomed.), 2023
C. Parker
A. Schroder
Sean C. Epstein
James H. Cole
Daniel C. Alexander
Hui Zhang
126
3
0
13 Jul 2023
Physics-informed radial basis network (PIRBN): A local approximating
  neural network for solving nonlinear PDEs
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs
Jinshuai Bai
Guirong Liu
Ashish Gupta
Laith Alzubaidi
Xinzhu Feng
Yuantong T. Gu
PINN
273
1
0
13 Apr 2023
Utilising physics-guided deep learning to overcome data scarcity
Utilising physics-guided deep learning to overcome data scarcity
Jinshuai Bai
Laith Alzubaidi
Qingxia Wang
E. Kuhl
Bennamoun
Yuantong T. Gu
PINNAI4CE
483
5
0
24 Nov 2022
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data:
  Break Training Data Bottleneck in Artificial Intelligence
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence
Chen Qian
Yuncheng Gao
Mingyang Han
Zi Wang
Dan Ruan
...
Meijin Lin
D. Guo
Jianjun Zhou
Meiyun Wang
Xiaobo Qu
DiffMMedImOOD
442
1
0
20 Oct 2022
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI
  Data with Self-Supervised Machine Learning
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning
Jason P. Lim
Stefano B. Blumberg
Neil Narayan
Sean C. Epstein
Daniel C. Alexander
M. Palombo
Paddy J. Slator
DiffMOOD
110
6
0
05 Oct 2022
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity
  assessment from limited DWI data using supervised learning coupled with
  data-consistency
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistencyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Noam Korngut
Elad Rotman
O. Afacan
Sila Kurugol
Yael Zaffrani-Reznikov
S. Nemirovsky-Rotman
Simon Warfield
Moti Freiman
104
4
0
08 Jun 2022
Choice of training label matters: how to best use deep learning for
  quantitative MRI parameter estimation
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimationMachine Learning for Biomedical Imaging (MLBI), 2022
Sean C. Epstein
T. Bray
M. Hall-Craggs
Hui Zhang
SSLOOD
190
17
0
11 May 2022
1
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