Aravind R. Krishnan

According to our database, Aravind R. Krishnan authored at least 15 papers between 2023 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

An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing.

Lianrui Zuo, Yihao Liu, Gaurav Rudravaram, Karthik Ramadass, Aravind R. Krishnan, Michael D. Phillips, Yelena G. Bodien, Mayur B. Patel, Paula Trujillo, Yency Forero Martinez, Stephen A. Deppen, Eric L. Grogan, Fabien Maldonado, Kevin McGann, Hudson M. Holmes, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

CoRR, April, 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

Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture.

Thomas Z. Li, Aravind R. Krishnan, Lianrui Zuo, John M. Still, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman

CoRR, September, 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

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices.

Lianrui Zuo, Xin Yu, Dingjie Su, Kaiwen Xu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Fabien Maldonado, Luigi Ferrucci, Bennett A. Landman

CoRR, January, 2025

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models.

Lianrui Zuo, Kaiwen Xu, Dingjie Su, Xin Yu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Thomas Z. Li, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

CoRR, January, 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

2023

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.

Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman

CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.

Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

CoRR, 2023

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior.

Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

CoRR, 2023

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.

Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023