Christopher M. Sandino

According to our database, Christopher M. Sandino authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.

Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin

CoRR, 2023

2022

MAEEG: Masked Auto-encoder for EEG Representation Learning.

Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng

CoRR, 2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.

Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci

CoRR, 2022

2021

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising.

Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari

CoRR, 2021

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.

Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.

Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.

Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

IEEE Signal Process. Mag., 2020

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges.

Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas S. Vasanawala

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT.

Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng

CoRR, 2019

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model.

Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura

CoRR, 2019

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning.

Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

CoRR, 2019