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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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04/05/2022
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Medical natural language processing (NLP) systems are a key enabling tec...
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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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05/30/2020
Attention-Guided Discriminative Region Localization for Bone Age Assessment
Bone age assessment (BAA) is clinically important as it can be used to d...
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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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07/09/2019
Translating neural signals to text using a Brain-Machine Interface
Brain-Computer Interfaces (BCI) help patients with faltering communicati...
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05/30/2019
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Histology review is often used as the `gold standard' for disease diagno...
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05/16/2019
