Christian Farrar

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Assistant Professor

Massachusetts General Hospital

United States

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About

Christian Farrar is an Assistant Professor at Massachusetts General Hospital, USA. His research focuses on advanced imaging techniques, particularly in magnetic resonance imaging (MRI) and its applications in cancer therapy and cardiac metabolism. Recent articles highlight his work on optimizing MRI protocols and employing machine learning to enhance imaging accuracy and treatment outcomes.

Recent Grants

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A CEST-MRI Reporter Gene for Image Guided Oncolytic Virotherapy

Open Date: 2016-05-15

Close Date: 2021-04-30

Articles (11)

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2025

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2023

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2020

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2020

Collaborators (8)

Yi-Fen Yen

Assistant Professor

Massachusetts General Hospital

UNITED STATES

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Matthew Rosen

Associate Professor

UNITED STATES

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Nicolas Scalzitti

Michigan State University

UNITED STATES

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Hye‐Young Heo

UNITED STATES

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Assaf Gilad

Prof.

Michigan State University

UNITED STATES

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Moritz Zaiss

University Hospital Erlangen

GERMANY

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Jaume Coll-Font

UNITED STATES

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Or Perlman

ISRAEL

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Christian Farrar

Research Interests

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About

Recent Grants

Articles (11)

Optimization of CEST MRI Reporter Protein Design Using Cation‐Pi Networks

Computational peptide discovery with a genetic programming approach

Correction to: Oncolytic HSV1 targets different growth phases of breast cancer leptomeningeal metastases

MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification

Oncolytic HSV1 targets different growth phases of breast cancer leptomeningeal metastases

Accelerated and quantitative three‐dimensional molecular MRI using a generative adversarial network

Magnetic resonance imaging of cardiac metabolism in heart failure: how far have we come?

An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)

Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning

Fibrotic Response to Neoadjuvant Therapy Predicts Survival in Pancreatic Cancer and Is Measurable with Collagen-Targeted Molecular MRI

CEST MR‐Fingerprinting: Practical considerations and insights for acquisition schedule design and improved reconstruction

Collaborators (8)

Yi-Fen Yen

Matthew Rosen

Nicolas Scalzitti

Hye‐Young Heo

Assaf Gilad

Moritz Zaiss

Jaume Coll-Font

Or Perlman

Make your next move.