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02/08/2023
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
For acute ischemic stroke (AIS) patients with large vessel occlusions, c...
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06/13/2022
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
In clinical practice, anisotropic volumetric medical images with low thr...
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06/13/2022
Transformer Lesion Tracker
Evaluating lesion progression and treatment response via longitudinal le...
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06/11/2022
Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology
Early prostate cancer detection and staging from MRI are extremely chall...
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02/17/2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Image-based characterization and disease understanding involve integrati...
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04/04/2021
Contrast-enhanced MRI Synthesis Using 3D High-Resolution ConvNets
Gadolinium-based contrast agents (GBCAs) have been widely used to better...
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12/11/2020
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) t...
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11/05/2020
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time
Treatment of acute ischemic strokes (AIS) is largely contingent upon the...
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11/05/2020
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Histopathological images provide rich information for disease diagnosis....
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09/26/2020
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression
Advancements in machine learning algorithms have had a beneficial impact...
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10/18/2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
In this work, we investigate semi-supervised learning (SSL) for image cl...
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05/30/2019
