matlab mat-file format (MathWorks Inc)
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matlab mat-file format
Matlab Mat File Format, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mat-format/pm39965744-237-12-12
Average 90 stars, based on 1 article reviews
Matlab Mat File Format, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mat-format/pm39965744-237-12-12
Average 90 stars, based on 1 article reviews
matlab mat-file format - by Bioz Stars,
2026-11
90/100 stars
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Software:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a Generated:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a Imaging:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a Saline:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a Diffusion-based Assay:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a Magnetic Resonance Imaging:Article Title: Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast Article Snippet: Fixed rat spinal cord , Diffusion MRI at 16.4 T , Data is provided in nifti format with b-values and difusion gradient vectors in text format. The data is also provided in the matlab.mat file format: ratSC.matThis matlab file contains raw dMRI data (ratSC_DWI_data), corresponding effective b-values (effective_b) and gradient table (DWI_encoding_directions), and masks for all slices (masks) , Rat_spinal_cord.zip. Article Title: Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Article Snippet: As summarized in Table 1, the software generated essential HRV features to evaluate physiological responses, exported raw ECG data, RR intervals, and analytical results in a Article Title: Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors Article Snippet: The extracted results were saved in a Article Title: Efficient 3D FISP-MRF at 0.55 T using long spiral readouts and concomitant field effect mitigation. Article Snippet: Purpose: To demonstrate the feasibility of SNR-efficient 3D fast imaging with steady state precession MR fingerprinting (FISP-MRF) using long spiral readouts with mitigation of concomitant field effects at 0.55 T. Methods: Fourteen FISP-MRF sequences with different spiral readout lengths (2.9 ms to 22.0 ms) were implemented with the open-source Pulseq framework.. Datasets were reconstructed using a low-rank and subspace model-based reconstruction combined with MaxGIRF spatial encoding model. Concomitant field-induced blurring and MRF precision were evaluated using reconstructed images and quantitative maps acquired from an ACR phantom, an ISMRM/NIST system phantom, and 2 healthy volunteers.. Results: A simulation study shows that the SNR of time-series images would increase by ~2× in white matter as a spiral readout increased from 2.9 ms to 22.0 ms. Empirically, MRF T1 and T2 standard deviations of in-vivo white matter were reduced by ~50 %, and concomitant field mitigation was necessary. Article Title: Identifying Multi-Dimensional Co-Clusters in Tensors Based on Hyperplane Detection in Singular Vector Spaces Article Snippet: Data are available as a Supporting Information file ( ) in Article Title: Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data Article Snippet: The software generates the results in a Article Title: Comprehensive human locomotion and electromyography dataset: Gait120. Article Snippet: The “EMG” folder contains both raw and processed sEMG signal data, stored in Article Title: Load-dependent collagen fiber architecture data of representative bovine tendon and mitral valve anterior leaflet tissues as quantified by an integrated opto-mechanical system Article Snippet: The data presented in this article provide load-dependent collagen fiber architecture (CFA) of one representative bovine tendon tissue sample and two representative porcine mitral valve anterior leaflet tissues, and they are stored in a |