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09/14/2023
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Sifting through vast textual data and summarizing key information impose...
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05/02/2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
We systematically investigate lightweight strategies to adapt large lang...
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11/23/2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Multimodal models trained on large natural image-text pair datasets have...
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11/15/2022
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
Radiology report summarization is a growing area of research. Given the ...
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10/21/2022
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Neural image-to-text radiology report generation systems offer the poten...
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10/09/2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Multi-modal foundation models are typically trained on millions of pairs...
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06/28/2021
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Extracting structured clinical information from free-text radiology repo...
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03/03/2021
Simulating time to event prediction with spatiotemporal echocardiography deep learning
Integrating methods for time-to-event prediction with diagnostic imaging...
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03/02/2021
Medical Imaging and Machine Learning
Advances in computing power, deep learning architectures, and expert lab...
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10/20/2020
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Neural image-to-text radiology report generation systems offer the poten...
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10/02/2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Learning visual representations of medical images is core to medical ima...
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09/18/2020
SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans
Purpose: To develop and evaluate the accuracy of a multi-view deep learn...
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07/29/2020
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
We introduce biomedical and clinical English model packages for the Stan...
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11/06/2019
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Neural abstractive summarization models are able to generate summaries w...
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08/24/2019
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
Different convolutional neural network (CNN) models have been tested for...
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01/21/2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Large, labeled datasets have driven deep learning methods to achieve exp...
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09/12/2018