Dominique Hadler

Erlangen, BY 91054, Germany

Last Updated: 09/26/2026

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Found 15 publications

Evaluation of Individual T1w-DIXON Contrasts for Subtraction Generation in Dynamic Contrast-Enhanced Breast MRI.

Evaluation of Individual T1w-DIXON Contrasts for Subtraction Generation in Dynamic Contrast-Enhanced Breast MRI.

Journal: Diagnostics (Basel, Switzerland)

Published: March 04, 2026

Can AI Detect What Is Not Injected? Evaluation of Lesion Detection in Virtual Contrast-Enhanced Breast MRI Using a Large-Scale AI Model Trained on GBCA-Enhanced Data.

Can AI Detect What Is Not Injected? Evaluation of Lesion Detection in Virtual Contrast-Enhanced Breast MRI Using a Large-Scale AI Model Trained on GBCA-Enhanced Data.

Journal: Tomography (Ann Arbor, Mich.)

Published: February 11, 2026

Adapted foundation models for breast MRI triaging in contrast-enhanced and non-contrast-enhanced protocols.

Adapted foundation models for breast MRI triaging in contrast-enhanced and non-contrast-enhanced protocols.

Journal: European radiology

Published: December 01, 2025

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

Journal: Investigative radiology

Published: November 11, 2025

Influence of co-registration on lesion characterization in diffusion-weighted breast MRI.

Influence of co-registration on lesion characterization in diffusion-weighted breast MRI.

Journal: Magma (New York, N.Y.)

Published: July 27, 2025

Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging.

Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging.

Journal: PloS one

Published: July 26, 2025

Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload.

Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published: April 01, 2025

Pros and Cons of High-Performance Gradient Enabled Short-TE Prostate DWI: A Prospective Study.

Pros and Cons of High-Performance Gradient Enabled Short-TE Prostate DWI: A Prospective Study.

Journal: Investigative radiology

Published: February 27, 2025

Virtual contrast-enhanced maximum intensity projections from high-b-value diffusion-weighted breast MRI: a feasibility study.

Virtual contrast-enhanced maximum intensity projections from high-b-value diffusion-weighted breast MRI: a feasibility study.

Journal: European radiology experimental

Published: February 07, 2025

Relevance of Prostatic Fluid on the Apparent Diffusion Coefficient: An Inversion Recovery Diffusion-Weighted Imaging Investigation.

Relevance of Prostatic Fluid on the Apparent Diffusion Coefficient: An Inversion Recovery Diffusion-Weighted Imaging Investigation.

Journal: Investigative radiology

Published: December 02, 2024

Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks.

Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks.

Journal: European radiology experimental

Published: September 25, 2024

Risk-adjusted training and evaluation for breast cancer detection.

Risk-adjusted training and evaluation for breast cancer detection.

Journal: Computers in biology and medicine

Published: June 27, 2024

Showing 1-12 of 15

Last Updated: 09/26/2026