| Economic and environmental costs of cloud technologies for medical imaging and radiology artificial intelligence FX Doo, P Kulkarni, EL Siegel, M Toland, HY Paul, RC Carlos, VS Parekh Journal of the American College of Radiology 21 (2), 248-256, 2024 | 10 | 2024 |
| Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels A Kanhere, P Kulkarni, PH Yi, VS Parekh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2* | 2024 |
| Coarse race and ethnicity labels mask granular underdiagnosis disparities in deep learning models for chest radiograph diagnosis P Bachina, SP Garin, P Kulkarni, A Kanhere, J Sulam, VS Parekh, PH Yi Radiology 309 (2), e231693, 2023 | 2 | 2023 |
| Surgical Aggregation: Federated Class-Heterogeneous Learning P Kulkarni, A Kanhere, PH Yi, VS Parekh arXiv preprint arXiv:2301.06683, 2023 | 2* | 2023 |
| ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging P Kulkarni, A Kanhere, EL Siegel, PH Yi, VS Parekh Journal of Imaging Informatics in Medicine, 1-14, 2024 | 1* | 2024 |
| Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery P Kulkarni, A Kanhere, PH Yi, VS Parekh arXiv preprint arXiv:2305.07637, 2023 | 1* | 2023 |
| Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels P Kulkarni, A Kanhere, PH Yi, VS Parekh arXiv preprint arXiv:2303.06180, 2023 | 1 | 2023 |
| From competition to collaboration: Making toy datasets on kaggle clinically useful for chest x-ray diagnosis using federated learning P Kulkarni, A Kanhere, PH Yi, VS Parekh arXiv preprint arXiv:2211.06212, 2022 | 1 | 2022 |
| Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification S Chan, P Kulkarni, PH Yi, VS Parekh arXiv preprint arXiv:2405.00156, 2024 | | 2024 |
| Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning P Kulkarni, A Kanhere, H Kukreja, V Zhang, PH Yi, VS Parekh arXiv preprint arXiv:2404.07374, 2024 | | 2024 |
| Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations P Kulkarni, A Kanhere, D Savani, A Chan, D Chatterjee, PH Yi, VS Parekh arXiv preprint arXiv:2403.15218, 2024 | | 2024 |
| Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations P Kulkarni, A Chan, N Navarathna, S Chan, PH Yi, VS Parekh arXiv preprint arXiv:2402.05713, 2024 | | 2024 |
| Using Deep Learning to Predict Knee Osteoarthritis J Zhao, A Kanhere, P Kulkarni, D Chatterjee | | 2024 |
| One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale P Kulkarni, A Kanhere, E Siegel, PH Yi, VS Parekh arXiv preprint arXiv:2307.00438, 2023 | | 2023 |
| Exploring Semantic Perturbations on Grover P Kulkarni, Z Ji, Y Xu, M Neskovic, K Nolan arXiv preprint arXiv:2302.00509, 2021 | | 2021 |
Paul H. YiUniversity of Maryland在 som.umaryland.edu 的电子邮件经过验证
