Matthias Haas

Charité Universitätsmedizin Berlin Campus Benjamin Franklin

Germany

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Articles (12)

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2025

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2025

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2024

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2022

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2022

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (6)

Hannes Cash

Associate Professor

Otto-von-Guericke Universität Magdeburg

GERMANY

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AKASH ROY

Medical University of South Carolina

UNITED STATES

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Frank Konietschke

GERMANY

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Sebastian Nagel

Charité - Universitätsmedizin Berlin

GERMANY

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Anne Frisch

Charité - Universitätsmedizin Berlin

GERMANY

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Thula Cannon Walter-Rittel

GERMANY

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Matthias Haas

Research Interests

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Articles (12)

Automated 24-sector grid-map algorithm for prostate mpMRI improves precision and efficacy of prostate lesion location reporting.

Oncological Safety of MRI-Informed Biopsy Decision-Making in Men With Suspected Prostate Cancer.

Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI

MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

Inter-Reader Variability Using PI-RADS v2 Versus PI-RADS v2.1: Most New Disagreement Stems from Scores 1 and 2.

Correction to: Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer.

Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer.

Clinical utility of combined T2-weighted imaging and T2-mapping in the detection of prostate cancer: a multi-observer study.

Accuracy of various criteria for lymph node staging in ductal adenocarcinoma of the pancreatic head by computed tomography and magnetic resonance imaging.

In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer.

Optimizing size thresholds for detection of clinically significant prostate cancer on MRI: Peripheral zone cancers are smaller and more predictable than transition zone tumors.

Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer.

Collaborators (6)

Hannes Cash

AKASH ROY

Frank Konietschke

Sebastian Nagel

Anne Frisch

Thula Cannon Walter-Rittel

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