Christopher M. Sandino

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Quality Assessment

Clinical Practice

Top Venues

IEEE Signal Process. Mag.

NeurIPS Datasets and Benchmarks

Publications

Sayeri Lala, Hanlin Goh, Christopher M. Sandino
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction. CoRR (2024)
Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals. CoRR (2023)
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 S. Chaudhari
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. CoRR (2022)
Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR (2022)
Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng
MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR (2022)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) (2021)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR (2021)
Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. NeurIPS Datasets and Benchmarks (2021)
Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher M. Re, John M. Pauly, Akshay S. Chaudhari
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR (2021)
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
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. ISBI (2020)
Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. 37 (1) (2020)
Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. CoRR (2019)
Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. CoRR (2019)
Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. CoRR (2019)
Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR (2019)