output
20152026
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations

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8 papers · 1 filter

eess.IV2026

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

Olivier Bernard, William A. Romero R., Cyprien Bouton +24

Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…

eess.IV2025★ 15 cited

A generalizable 3D framework and model for self-supervised learning in medical imaging

Tony Xu, Sepehr Hosseini, Chris Anderson +4

Current self-supervised learning methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets, limiting their generalizability and sc…

eess.IV2024★ 21 cited

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55

Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…

eess.IV2023★ 11 cited

Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach

Mostafa Sharifzadeh, Sobhan Goudarzi, An Tang +2

One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It is caused by spatial changes in sound speed over a heterogeneous medium, which…

eess.IV2023★ 20 cited

SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer

Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey +15

Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder involving motor neuron degeneration. Significant research has begun to establish brain magnetic resonanc…

eess.IV2022

Measuring hand use in the home after cervical spinal cord injury using egocentric video

Andrea Bandini, Mehdy Dousty, Sander L. Hitzig +3

Background: Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its a…

eess.IV2021★ 1 cited

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans

Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee +5

Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making…

eess.IV2020★ 52 cited

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

Matthew Ng, Fumin Guo, Labonny Biswas +4

Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world…