Computational modeling towards focused ultrasound therapy for spinal cord injury: visualization of beam propagation through patient-specific anatomy. - Avisha Kumar; Yohannes Tsehay; Eduardo A. Gonzalez; Max J. Kerensky; Muyinatu A. Lediju Bell; Nicholas Theodore; Nitish V. Thakor; Amir Manbachi (Image-Guided Procedures, 2023)

A Patient-specific Preplanning Treatment Algorithm for Focused Ultrasound Therapy of Spinal Cord Injury. - Avisha Kumar; Joshua Punnoose; Kelley M. Kempski Leadingham; Max J. Kerensky; Nicholas Theodore; Nitish V. Thakor; Amir Manbachi (NER, 2023)

Unidirectional Brain-Computer Interface: Artificial Neural Network Encoding Natural Images to FMRI Response in the Visual Cortex. - Ruixing Liang; Xiangyu Zhang; Qiong Li; Lai Wei; Hexin Liu; Avisha Kumar; Kelley M. Kempski Leadingham; Joshua Punnoose; Leibny Paola García; Amir Manbachi (ICASSP, 2024)

A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation. - Avisha Kumar; Kunal Kotkar; Kelly Jiang; Meghana Bhimreddy; Daniel Davidar; Carly Weber-Levine; Siddharth Krishnan; Max J. Kerensky; Ruixing Liang; Kelley M. Kempski Leadingham; Denis Routkevitch; Andrew M. Hersh; et al. (CoRR, 2024)

Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations. - Zan Ahmad; Shiyi Chen; Minglang Yin; Avisha Kumar; Nicolas Charon; Natalia A. Trayanova; Mauro Maggioni (CoRR, 2024)

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy. - Avisha Kumar; Xuzhe Zhi; Zan Ahmad; Minglang Yin; Amir Manbachi (CoRR, 2024)

Ultrasound spinal cord dataset. - Avisha Kumar (IEEE DataPort, 2025)

An ultrasound brain dataset for foreign body detection in neurosurgery. - Leonard Steger; Avisha Kumar (IEEE DataPort, 2025)