Daniel Paech

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Associate Professor of Radiology

Harvard University

United States

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About

Daniel Paech is an Associate Professor of Radiology at Harvard University. His research focuses on advanced imaging techniques and their clinical applications, particularly in the context of brain tumors and cerebrovascular conditions. Recent publications include studies on pediatric brain imaging, glioma recurrence differentiation, and the impact of MRI findings on clinical outcomes. He is committed to enhancing diagnostic precision and treatment strategies in radiology.

Recent Grants

Grant: Open

Magnetic Resonance Fingerprinting of Glutamate Metabolism for Guiding Glioma Cancer Care

Open Date: 2025-08-01

Close Date: 2030-01-01

Grant: Close

Anatomie + Neuro vertikal verknüpft verstehen

Open Date: 2025-01-01

Close Date:

Grant: Close

Development and clinical translation of novel imaging biomarkers in diagnostic neuro-oncology

Open Date: 2023-01-01

Close Date:

Grant: Close

ENFORCE Imaging - European Network FOR CancEr Imaging

Open Date: 2023-01-01

Close Date:

Grant: Close

Automatic detection and classification of intracranial hemorrhage using artificial intelligence (AI) and machine learning based approaches

Open Date: 2021-01-01

Close Date:

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

Collaborators (1)

Johannes Weller

University Hospital Bonn

GERMANY

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Daniel Paech

Research Interests

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Recent Grants

Articles (10)

Cerebellar Hemorrhage Masquerading as Unilateral Vestibulopathy: A Case Report

Transient and permanent hydrocephalus following resection of brain metastases located in the posterior fossa: incidence, risk factors and the necessity of perioperative external ventricular drainage placement

Rapid and motion-robust pediatric brain imaging: T2-weighted turbo-spin-echo PROPELLER acquisition with compressed sensing

Amide proton transfer weighted MRI measurements yield consistent and repeatable results in patients with gliomas: a prospective test-retest study.

Differentiating Glioma Recurrence and Pseudoprogression by APTw CEST MRI.

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Rapid and motion-robust pediatric brain imaging: T2-weighted turbo-spin-echo PROPELLER acquisition with compressed sensing.

Splenic T2 signal intensity loss on MRI is associated with disease burden in multiple myeloma.

Quantitative assessment of residual tumor is a strong and independent predictor of survival in methylated glioblastoma following radiochemotherapy with CCNU/TMZ.

Clinical significance and prevalence of subarachnoid hyperdensities on flat detector CT after mechanical thrombectomy: does it really matter?

Collaborators (1)

Johannes Weller

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