Gaurav Rudravaram

According to our database, Gaurav Rudravaram authored at least 17 papers between 2024 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

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

Fully Differentiable dMRI Streamline Propagation in PyTorch.

Jongyeon Yoon, Elyssa M. McMaster, Michael E. Kim, Gaurav Rudravaram, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer

CoRR, November, 2025

Cleaning Robots: A Review of Sensor Technologies and Intelligent Control Strategies for Cleaning.

Rajesh Kannan Megalingam, Shree Rajesh Raagul Vadivel, Sai Smaran Kotaprolu, Bagathi Nithul, Devisetty Vijay Kumar, Gaurav Rudravaram

J. Field Robotics, August, 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

CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation.

Ruining Deng, Yihe Yang, David J. Pisapia, Benjamin Liechty, Junchao Zhu, Juming Xiong, Junlin Guo, Zhengyi Lu, Jiacheng Wang, Xing Yao, Runxuan Yu, Rendong Zhang, Gaurav Rudravaram, Mengmeng Yin, Pinaki Sarder, Haichun Yang, Yuankai Huo, Mert R. Sabuncu

CoRR, February, 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

Deep Automatic Alignment of Mpox Dermatological Hand Photography.

Bohan Jiang, Andrew McNeil, Yihao Liu, Gaurav Rudravaram, Inga Saknite, Placide Mbala-Kingebeni, Olivier Tshiani Mbaya, Tyra Silaphet, Rachel Weiss, Lori E. Dodd, Veronique Nussenblatt, Daniel Moyer, Bennett A. Landman, Benoit M. Dawant, Eric R. Tkaczyk

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets.

Michael E. Kim, Chenyu Gao, Karthik Ramadass, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, David A. Bennett, Sid OBryant, Robert C. Barber, Derek B. Archer, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team

CoRR, 2024

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI.

Zhiyuan Li, Tianyuan Yao, Praitayini Kanakaraj, Chenyu Gao, Shunxing Bao, Lianrui Zuo, Michael E. Kim, Nancy R. Newlin, Gaurav Rudravaram, Nazirah Mohd Khairi, Yuankai Huo, Kurt G. Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman

CoRR, 2024

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets.

Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek B. Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, Nazirah Mohd Khairi

CoRR, 2024

Field-of-View Extension for Diffusion MRI via Deep Generative Models.

Chenyu Gao, Shunxing Bao, Michael E. Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li

CoRR, 2024