Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

An Episode Memory-Guided Dual-Stage Framework for Long-Form Video Temporal Grounding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

Fault Diagnosis of Rolling Bearings Using Denoising Multi-Channel Mixture of CNN and Mamba-Enhanced Adaptive Self-Attention LSTM.

Sensors (Basel, Switzerland)·2025

Same author

Impact of Intravesical Bacillus Calmette-Guérin Therapy Following Transurethral En Bloc Resection of Bladder Tumour: Post Hoc Analysis of a Randomised, Multicentre, Phase 3 Trial.

European urology oncology·2025

Same author

SA<sup>2</sup>Net: Scale-adaptive structure-affinity transformation for spine segmentation from ultrasound volume projection imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025

Same author

Revisiting One-Stage Deep Uncalibrated Photometric Stereo via Fourier Embedding.

IEEE transactions on pattern analysis and machine intelligence·2025

Same author

Multi-kernel feature extraction with dynamic fusion and downsampled residual feature embedding for predicting rice RNA N6-methyladenine sites.

Briefings in bioinformatics·2024

Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026

Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026

Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026

Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026

Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026

Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Landmark Localization From Medical Images With Generative Distribution Prior.

Zixun Huang, Rui Zhao, Frank H F Leung

IEEE Transactions on Medical Imaging

|February 29, 2024

Summary

This summary is machine-generated.

This study introduces a novel Normalizing Flow-based Distribution Prior (NFDP) to enhance medical landmark localization accuracy. NFDP effectively models landmark distributions, improving performance on X-ray datasets with minimal computational overhead.

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Related Experiment Videos

Last Updated: Jul 2, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Area of Science:

Medical Image Analysis
Machine Learning
Computer Vision

Background:

Anatomical landmarks in medical images possess inherent structural information.
Accurate localization of these landmarks is crucial for various diagnostic and analytical tasks.
Existing methods may face limitations in effectively leveraging prior structural knowledge.

Purpose of the Study:

To improve medical landmark localization by incorporating a learned distribution prior.
To introduce a novel framework, Normalizing Flow-based Distribution Prior (NFDP), for enhanced localization.
To optimize the integration of distribution priors into regression-based localization models.

Main Methods:

Modeling landmark distribution using normalizing flows.
Integrating a flow-based landmark distribution prior as a learnable objective function.
Employing an integral operation for differentiable heatmap-to-coordinate mapping.

Main Results:

NFDP demonstrated high-fidelity outputs across three X-ray-based landmark localization datasets.
The method achieved superior prediction accuracy compared to existing techniques.
The normalizing flows module was detached during inference, minimizing computational burden.

Conclusions:

NFDP offers an efficient and effective approach for medical landmark localization.
The proposed method achieves a strong balance between prediction accuracy and inference speed.
NFDP provides a valuable tool for advancing medical image analysis applications.