| Medical machine time-series event data processor VR Saripalli, G Avinash, M Zhang, R Soni, J Guan, P Dibyajyoti, Z Ma US Patent 11,404,145, 2022 | 62 | 2022 |
| Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists T Tan, B Das, R Soni, M Fejes, H Yang, S Ranjan, DA Szabo, V Melapudi, ... Neurocomputing 485, 36-46, 2022 | 20 | 2022 |
| Visualization of medical device event processing GB Avinash, Q Zhao, Z Ma, P Dibyajyoti, VR Saripalli, R Soni, J Guan, ... US Patent App. 16/656,034, 2020 | 17 | 2020 |
| Artificial neural network compression via iterative hybrid reinforcement learning approach VR Saripalli, R Soni, J Guan, GB Avinash US Patent App. 16/450,474, 2020 | 10 | 2020 |
| Deep neural network based identification of realistic synthetic images generated using a generative adversarial network R Soni, M Zhang, Z Ma, GB Avinash US Patent 11,049,239, 2021 | 8 | 2021 |
| Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 T Tan, B Das, R Soni, M Fejes, S Ranjan, DA Szabo, V Melapudi, ... arXiv preprint arXiv:2011.05186, 2020 | 6 | 2020 |
| HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications R Soni, J Guan, G Avinash, VR Saripalli 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 6 | 2019 |
| Medical Machine Synthetic Data and Corresponding Event Generation R Soni, M Zhang, GB Avinash, VR Saripalli, J Guan, P Dibyajyoti, Z Ma US Patent App. 16/689,798, 2020 | 4 | 2020 |
| Adversarial focal loss: Asking your discriminator for hard examples C Liu, X Dong, M Potter, HM Chang, R Soni arXiv preprint arXiv:2207.07739, 2022 | 2 | 2022 |
| Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data X Zhang, A Gangopadhyay, HM Chang, R Soni Proceedings of the 3rd Machine Learning for Health Symposium, 664-76, 2023 | 1 | 2023 |
| Multimodality image processing techniques for training image data generation and usage thereof for developing mono-modality image inferencing models T Tan, GB Avinash, M Fejes, R Soni, DA Szabó, R Mullick, V Melapudi, ... US Patent 11,727,086, 2023 | 1 | 2023 |
| Synthetic training data generation for improved machine learning model generalizability R Soni, T Tan, GB Avinash, P Dibyajyoti, H Krupakar, VR Saripalli US Patent 11,720,647, 2023 | 1 | 2023 |
| Guest Editorial Artificial Intelligence in Pre-DICOM T Tan, R Soni, J Han, S Li IEEE Journal of Biomedical and Health Informatics 26 (9), 4357-4358, 2022 | 1 | 2022 |
| Systems and methods to deliver point of care alerts for radiological findings KR Nye, G Rao, G Avinash, R Soni US Patent App. 17/751,349, 2022 | 1 | 2022 |
| Systems and methods for detecting laterality of a medical image KS Younis, R Soni, KR Nye, GC Rao, JM Sabol, YN Shah US Patent 11,113,577, 2021 | 1 | 2021 |
| DEEP LEARNING IMAGE ANALYSIS WITH INCREASED MODULARITY AND REDUCED FOOTPRINT T Tan, H Yang, GB Avinash, BP Cziria, P Tegzes, X Dong, R Soni, ... US Patent App. 18/046,347, 2024 | | 2024 |
| Artifact-driven data synthesis in computed tomography M Ikuta, J Hong, RK Tamada, R Soni US Patent App. 17/937,152, 2024 | | 2024 |
| System and methods for inferring thickness of object classes of interest in two-dimensional medical images using deep neural networks T Tan, M Fejes, G Avinash, R Soni, B Das, R Mullick, P Tegzes, L Ferenczi, ... US Patent App. 18/497,912, 2024 | | 2024 |
| System and methods for inferring thickness of anatomical classes of interest in two-dimensional medical images using deep neural networks T Tan, M Fejes, G Avinash, R Soni, B Das, R Mullick, P Tegzes, L Ferenczi, ... US Patent 11,842,485, 2023 | | 2023 |
| Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation MRH Taher, M Ikuta, R Soni Machine Learning for Health (ML4H), 145-156, 2023 | | 2023 |
