Gaurav Rudravaram

According to our database, Gaurav Rudravaram authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

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