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Large language models streamline automated machine learning for clinical studies

Nature communications, 2024-02, Vol.15 (1), p.1603-1603, Article 1603

2024

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Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Radiology, 2023-10, Vol.309 (1)

2023

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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Scientific reports, 2023-12, Vol.13 (1), p.22576-22576, Article 22576

2023

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Denoising diffusion probabilistic models for 3D medical image generation

Scientific reports, 2023-05, Vol.13 (1), p.7303-12, Article 7303

2023

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Collaborative training of medical artificial intelligence models with non-uniform labels

Scientific reports, 2023-04, Vol.13 (1), p.6046-9, Article 6046

2023

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Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

European radiology experimental, 2024-02, Vol.8 (1), p.10-10, Article 10

2024

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Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

Communications medicine, 2024-03, Vol.4 (1), p.46-46, Article 46

2024

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Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

Frontiers in cardiovascular medicine, 2023-10, Vol.10, p.1167500-1167500

2023

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Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

Radiology, 2023-05, Vol.307 (3), p.e222211-e222211

2023

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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Scientific reports, 2023-07, Vol.13 (1), p.12098-12098, Article 12098

2023

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Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization

Radiology, 2024-07, Vol.312 (1)

2024

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The effect of speech pathology on automatic speaker verification: a large-scale study

Scientific reports, 2023-11, Vol.13 (1), p.20476-20476, Article 20476

2023

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Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation

Scientific reports, 2023-08, Vol.13 (1), p.14207-14207, Article 14207

2023

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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Scientific reports, 2023-07, Vol.13 (1), p.10666-10666, Article 10666

2023

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Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Medical image analysis, 2024-02, Vol.92, p.103059-103059, Article 103059

2024

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Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs

Radiology. Artificial intelligence, 2024-01, Vol.6 (1)

2024

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Conversion Between Cubic Bezier Curves and Catmull–Rom Splines

SN computer science, 2021-09, Vol.2 (5), p.398, Article 398

2021

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Accelerating breast MRI acquisition with generative AI models

European radiology, 2024-08

2024

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Optimal thresholds for discrete power levels using adaptive modulation in presence of imperfect channel state information

International journal of advanced computer research, 2017-07, Vol.7 (31), p.147-153

2017

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How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies

2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021, p.370-373

2021

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Large language models streamline automated machine learning for clinical studies

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Denoising diffusion probabilistic models for 3D medical image generation

Collaborative training of medical artificial intelligence models with non-uniform labels

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization

The effect of speech pathology on automatic speaker verification: a large-scale study

Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs

Conversion Between Cubic Bezier Curves and Catmull–Rom Splines

Accelerating breast MRI acquisition with generative AI models

Optimal thresholds for discrete power levels using adaptive modulation in presence of imperfect channel state information

How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies

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