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

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

3 November 2020

Misha P. T. Kaandorp

O. Gurney-Champion

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

12 / 12 papers shown

Title
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 25 0 0 06 Aug 2024
PINNs for Medical Image Analysis: A Survey C. Banerjee Kien Nguyen Olivier Salvado Truyen Tran Clinton Fookes AI4CE 37 1 0 02 Aug 2024
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network Zehuan Zhang Matej Genci Hongxiang Fan A. Wetscherek Wayne Luk 54 0 0 07 Jul 2024
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review Lingchao Mao Hairong Wang Leland S. Hu Nhan L Tran Peter D Canoll Kristin R Swanson Jing Li 32 6 0 12 Jan 2024
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process Deepak Akhare Zeping Chen R. Gulotty Tengfei Luo Jian-Xun Wang AI4CE 19 5 0 13 Nov 2023
Rician likelihood loss for quantitative MRI using self-supervised deep learning C. Parker A. Schroder Sean C. Epstein James H. Cole Daniel C. Alexander Hui Zhang 15 2 0 13 Jul 2023
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 29 1 0 13 Apr 2023
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 39 3 0 24 Nov 2022
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 DiffM MedIm OOD 26 0 0 20 Oct 2022
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 DiffM OOD 26 4 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 Noam Korngut Elad Rotman O. Afacan Sila Kurugol Yael Zaffrani-Reznikov S. Nemirovsky-Rotman Simon Warfield Moti Freiman 18 4 0 08 Jun 2022
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation Sean C. Epstein T. Bray M. Hall-Craggs Hui Zhang SSL OOD 33 12 0 11 May 2022