ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.
Chen LiuKe XuLiangbo L. ShenGuillaume HuguetZilong WangAlexander TongDanilo BzdokJay StewartJay C. WangLucian V. Del PrioreSmita KrishnaswamyPublished in: CoRR (2024)
Keyphrases
- medical images
- disease progression
- multiscale
- cross sectional
- magnetic resonance images
- computed tomography
- mr images
- medical imaging
- ct scans
- anatomical structures
- medical image analysis
- image intensity
- prostate cancer
- computer aided diagnosis
- magnetic resonance
- magnetic resonance imaging
- deformable models
- ct images
- imaging modalities
- region of interest
- blood vessels
- image segmentation
- cross section
- image fusion
- wavelet transform
- brain images
- breast cancer
- deformation field
- neural network
- segmentation of medical images
- x ray images
- clinical trials
- computer aided
- low contrast
- mathematical modeling
- wavelet coefficients
- three dimensional
- multimodal medical images