Adam M. Saunders

According to our database, Adam M. Saunders authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling.

Gaurav Rudravaram, Lianrui Zuo, Karthik Ramadass, Elyssa M. McMaster, Jongyeon Yoon, Aravind R. Krishnan, Adam M. Saunders, Chenyu Gao, Nancy R. Newlin, Praitayini Kanakaraj, Lori L. Beason-Held, Murat Bilgel, Laura A. Barquero, Micah D'Archangel, Tin Q. Nguyen, Laurie B. Cutting, Derek B. Archer, Timothy J. Hohman, Daniel Moyer, Bennett A. Landman

CoRR, May, 2026

Evaluation of Neurocombat and Deep Learning Harmonization for Multi-Site Magnetic Resonance Neuroimaging in Youth with Prenatal Alcohol Exposure.

Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Elias Levy, Bryce Geeraert, Lianrui Zuo, Simon N. Vandekar, Catherine Lebel, Bennett A. Landman

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Harmonization Mitigates Diffusion MRI Scanner Effects in Infancy: Insights From the Healthy Brain and Child Development (HBCD) Study.

Elyssa M. McMaster, Gaurav Rudravaram, Michael E. Kim, Trent M. Schwartz, Chloe Scholten, Jongyeon Yoon, Adam M. Saunders, Andre T. S. Hucke, Karthik Ramadass, Emily M. Harriott, Steven L. Meisler, Simon N. Vandekar, Allen T. Newton, Seth A. Smith, Saikat Sengupta, Kathryn L. Humphreys, Sarah Osmundson, Daniel Moyer, Laurie E. Cutting, Bennett A. Landman

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes.

Gaurav Rudravaram, Lianrui Zuo, Adam M. Saunders, Michael E. Kim, Praitayini Kanakaraj, Nancy R. Newlin, Aravind R. Krishnan, Elyssa M. McMaster, Chloe Cho, Susan M. Resnick, Lori L. Beason-Held, Derek B. Archer, Timothy J. Hohman, Daniel Moyer, Bennett A. Landman

CoRR, December, 2025

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging.

Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko

CoRR, August, 2025

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts.

Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Alvin C. Powers, Bennett A. Landman, John Virostko

CoRR, August, 2025

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels.

Aravind R. Krishnan, Thomas Z. Li, Lucas W. Remedios, Michael E. Kim, Chenyu Gao, Gaurav Rudravaram, Elyssa M. McMaster, Adam M. Saunders, Shunxing Bao, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Yuankai Huo, Bennett A. Landman

CoRR, May, 2025

Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD.

Aravind R. Krishnan, Yihao Liu, Kaiwen Xu, Michael E. Kim, Lucas W. Remedios, Gaurav Rudravaram, Adam M. Saunders, Bradley W. Richmond, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Lianrui Zuo

CoRR, February, 2025

2024

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.

Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman

CoRR, 2024

Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI.

Lucas W. Remedios, Han Liu, Samuel W. Remedios, Lianrui Zuo, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Alvin C. Powers, John Virostko, Bennett A. Landman

CoRR, 2024

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman

CoRR, 2024

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.

Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman

CoRR, 2024

2022

SLANT-TICV (Skull stripped): Generalizing deep learning brain segmentation for skull removal and intracranial measurements.

Liu Yue, Karthik Ramadass, Michael Kim, Chenyu Gao, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Ilwoo Lyu, Bennett A. Landman

Dataset, May, 2022