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09/11/2023
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
Health-related acoustic signals, such as cough and breathing sounds, are...
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05/09/2023
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning
Cardiovascular diseases (CVDs) are responsible for a large proportion of...
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12/05/2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
The increasing availability of large collections of electronic health re...
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10/09/2020
Addressing the Real-world Class Imbalance Problem in Dermatology
Class imbalance is a common problem in medical diagnosis, causing a stan...
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09/28/2020
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Open domain question answering (OpenQA) tasks have been recently attract...
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06/26/2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
It is often infeasible or impossible to obtain ground truth labels for m...
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05/13/2020
Entity-Enriched Neural Models for Clinical Question Answering
We explore state-of-the-art neural models for question answering on elec...
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03/20/2020
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Modern deep learning algorithms geared towards clinical adaption rely on...
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02/29/2020
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
In the era of clinical information explosion, a good strategy for clinic...
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10/31/2019
Human-centric Metric for Accelerating Pathology Reports Annotation
Pathology reports contain useful information such as the main involved o...
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09/19/2019
Representation Learning for Electronic Health Records
Information in electronic health records (EHR), such as clinical narrati...
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09/19/2019
Machine Learning for Clinical Predictive Analytics
In this chapter, we provide a brief overview of applying machine learnin...
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09/17/2019
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction
Metadata are general characteristics of the data in a well-curated and c...
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08/15/2019
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery
Stereotactic radiosurgery (SRS), which delivers high doses of irradiatio...
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04/06/2019
Publicly Available Clinical BERT Embeddings
Contextual word embedding models such as ELMo (Peters et al., 2018) and ...
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04/04/2019
Clinically Accurate Chest X-Ray Report Generation
The automatic generation of radiology reports given medical radiographs ...
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02/04/2019
Unsupervised Clinical Language Translation
As patients' access to their doctors' clinical notes becomes common, tra...
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12/03/2018
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability
Determining whether hypotensive patients in intensive care units (ICUs) ...
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11/21/2018
Unsupervised Multimodal Representation Learning across Medical Images and Reports
Joint embeddings between medical imaging modalities and associated radio...
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11/04/2018
Towards Unsupervised Speech-to-Text Translation
We present a framework for building speech-to-text translation (ST) syst...
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06/25/2018
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment
Mapping and translating professional but arcane clinical jargons to cons...
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05/18/2018
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Recent research has shown that word embedding spaces learned from text c...
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11/22/2017