ERD

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels

Project: CHAIMELEON

Updated at: 31-01-2024

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MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

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Updated at: 31-01-2024

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Final dissemination & communication plan

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Updated at: 31-01-2024

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Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted ...

Project: CHAIMELEON

Updated at: 31-01-2024

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Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospecti...

Project: CHAIMELEON

Updated at: 31-01-2024

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Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segm...

Project: CHAIMELEON

Updated at: 31-01-2024

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High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss

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Comparative assessment of the proposedharmonisation approaches

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Updated at: 31-01-2024

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Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Project: CHAIMELEON

Updated at: 31-01-2024

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Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

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Updated at: 31-01-2024

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Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations

Project: CHAIMELEON

Updated at: 31-01-2024

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Association Between Left Ventricular Global Function Index and Outcomes in Patients With Dilated Cardiomyopathy

Project: CHAIMELEON

Updated at: 31-01-2024

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From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featurin...

Project: CHAIMELEON

Updated at: 31-01-2024

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<scp>Non‐invasive</scp> prediction of overall survival time for glioblastoma multiforme patients based on multimodal <...

Project: CHAIMELEON

Updated at: 31-01-2024

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MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small...

Project: CHAIMELEON

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MAIC–10 brief quality checklist for publications using artificial intelligence and medical images

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Updated at: 31-01-2024

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3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

Project: CHAIMELEON

Updated at: 31-01-2024

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Is Autoencoder Truly Applicable for 3D CT Super-Resolution?

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Updated at: 31-01-2024

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Interim dissemination & communication plan

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Updated at: 31-01-2024

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Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapp...

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Updated at: 31-01-2024

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Automated detection and segmentation of non-small cell lung cancer computed tomography images

Project: CHAIMELEON

Updated at: 31-01-2024

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Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

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Updated at: 31-01-2024

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Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT

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Updated at: 31-01-2024

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The creation of breast lesion models for mammographic virtual clinical trials: a topical review

Project: CHAIMELEON

Updated at: 31-01-2024

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Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation

Project: CHAIMELEON

Updated at: 31-01-2024

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A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuni...

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Adversarial Transformer for Repairing Human Airway Segmentation

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AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis

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Updated at: 31-01-2024

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Discussion Paper: The Integrity of Medical AI

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Updated at: 31-01-2024

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Swin transformer for fast MRI

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Updated at: 31-01-2024

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