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08/27/2023
Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies
A knowledge gap persists between Machine Learning (ML) developers (e.g.,...
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08/15/2023
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
Pre-training datasets, like ImageNet, have become the gold standard in m...
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05/11/2023
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
Whole-Slide Imaging allows for the capturing and digitization of high-re...
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04/18/2023
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers – A multi-institutional evaluation
Accurate and automatic segmentation of fibroglandular tissue in breast M...
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04/11/2023
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Deep Learning (DL) can predict biomarkers from cancer histopathology. Se...
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01/23/2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
Background: Deep learning (DL) can extract predictive and prognostic bio...
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12/18/2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
Multimodal deep learning has been used to predict clinical endpoints and...
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12/14/2022
Diffusion Probabilistic Models beat GANs on Medical Images
The success of Deep Learning applications critically depends on the qual...
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11/24/2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Artificial intelligence (AI) methods are revolutionizing medical image a...
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11/07/2022
Medical Diffusion – Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Recent advances in computer vision have shown promising results in image...
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11/22/2021
