Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. - Joseph Y. Cheng; Feiyu Chen 004; Christopher M. Sandino; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (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)

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. - Christopher M. Sandino; Peng Lai; Shreyas S. Vasanawala; Joseph Y. Cheng (CoRR, 2019)

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 (ISBI, 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 004; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (IEEE Signal Process. Mag., 2020)

Memory-Efficient Learning for High-Dimensional MRI Reconstruction. - Ke Wang; Michael R. Kellman; Christopher M. Sandino; Kevin Zhang 003; Shreyas S. Vasanawala; Jonathan I. Tamir; Stella X. Yu; Michael Lustig (MICCAI (6), 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 (NeurIPS Datasets and Benchmarks, 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)

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)

MAEEG: Masked Auto-encoder for EEG Representation Learning. - Hsiang-Yun Sherry Chien; Hanlin Goh; Christopher M. Sandino; Joseph Y. Cheng (CoRR, 2022)

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)

Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction. - Sayeri Lala; Hanlin Goh; Christopher M. Sandino (CoRR, 2024)

Generalizable autoregressive modeling of time series through functional narratives. - Ran Liu; Wenrui Ma; Ellen L. Zippi; Hadi Pouransari; Jingyun Xiao; Christopher M. Sandino; Behrooz Mahasseni; Juri Minxha; Erdrin Azemi; Eva L. Dyer; Ali Moin (CoRR, 2024)

Promoting cross-modal representations to improve multimodal foundation models for physiological signals. - Ching Fang; Christopher M. Sandino; Behrooz Mahasseni; Juri Minxha; Hadi Pouransari; Erdrin Azemi; Ali Moin; Ellen L. Zippi (CoRR, 2024)

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement. - Gaurav Patel; Christopher Michael Sandino; Behrooz Mahasseni; Ellen L. Zippi; Erdrin Azemi; Ali Moin; Juri Minxha (ICLR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)