MRI datasets used in the manuscript: "An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST) "

The data comprises raw and analyzed .mat format images (can be read by Python, Matlab, and other software).<br>The images were acquired using a 9.4T preclinical MRI, on chemical exchange saturation transfer (CEST) in-vitro models (phantoms), including:1) Iohexol2) Phosphocreatine (pCr)3) Bovine serum albumin (BSA)4) L-arginine*In addition, a single in-vivo wild-type mouse was imaged.<br><br>Detailed datasets properties are available in the below mentioned reference.<br>Please cite the manuscript's reference in case the data are being used.<br><br>