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07/01/2023
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale
Large-scale medical imaging datasets have accelerated development of art...
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05/24/2023
High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming
As the adoption of AI systems within the clinical setup grows, limitatio...
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05/12/2023
Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery
The Imaging Data Commons (IDC) is a cloud-based database that provides r...
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03/10/2023
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels
Numerous large-scale chest x-ray datasets have spearheaded expert-level ...
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01/17/2023
SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations
Segmentation is one of the primary tasks in the application of deep lear...
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01/17/2023
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks
AI-assisted characterization of chest x-rays (CXR) has the potential to ...
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11/29/2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Modern machine learning pipelines, in particular those based on deep lea...
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11/11/2022