Wei-Hung Weng | DeepAI

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James Glass
123 publications
Yun Liu
88 publications
Qian Li
80 publications
Yuan Liu
73 publications
Gang Li
67 publications
Marzyeh Ghassemi
54 publications
Di Jin
43 publications
Peter Szolovits
38 publications
Yu-An Chung
27 publications
Greg S. Corrado
27 publications
Tristan Naumann
26 publications

∙ 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...

0 Louis Blankemeier, et al. ∙

∙ 05/09/2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning

Cardiovascular diseases (CVDs) are responsible for a large proportion of...

8 Wei-Hung Weng, et al. ∙

∙ 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...

0 Di Jin, et al. ∙

∙ 10/09/2020

Addressing the Real-world Class Imbalance Problem in Dermatology

Class imbalance is a common problem in medical diagnosis, causing a stan...

12 Wei-Hung Weng, et al. ∙

∙ 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...

5 Di Jin, et al. ∙

∙ 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...

0 Matthew B. A. McDermott, et al. ∙

∙ 05/13/2020

Entity-Enriched Neural Models for Clinical Question Answering

We explore state-of-the-art neural models for question answering on elec...

0 Bhanu Pratap Singh Rawat, et al. ∙

∙ 03/20/2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging

Modern deep learning algorithms geared towards clinical adaption rely on...

0 Szu-Yeu Hu, et al. ∙

∙ 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...

0 Wei-Hung Weng, et al. ∙

∙ 10/31/2019

Human-centric Metric for Accelerating Pathology Reports Annotation

Pathology reports contain useful information such as the main involved o...

0 Ruibin Ma, et al. ∙

∙ 09/19/2019

Representation Learning for Electronic Health Records

Information in electronic health records (EHR), such as clinical narrati...

0 Wei-Hung Weng, et al. ∙

∙ 09/19/2019

Machine Learning for Clinical Predictive Analytics

In this chapter, we provide a brief overview of applying machine learnin...

0 Wei-Hung Weng, et al. ∙

∙ 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...

0 Wei-Hung Weng, et al. ∙

∙ 08/15/2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery

Stereotactic radiosurgery (SRS), which delivers high doses of irradiatio...

0 Szu-Yeu Hu, et al. ∙

∙ 04/06/2019

Publicly Available Clinical BERT Embeddings

Contextual word embedding models such as ELMo (Peters et al., 2018) and ...

0 Emily Alsentzer, et al. ∙

∙ 04/04/2019

Clinically Accurate Chest X-Ray Report Generation

The automatic generation of radiology reports given medical radiographs ...

0 Guanxiong Liu, et al. ∙

∙ 02/04/2019

Unsupervised Clinical Language Translation

As patients' access to their doctors' clinical notes becomes common, tra...

0 Wei-Hung Weng, et al. ∙

∙ 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) ...

0 Uma M. Girkar, et al. ∙

∙ 11/21/2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports

Joint embeddings between medical imaging modalities and associated radio...

0 Tzu Ming Harry Hsu, et al. ∙

∙ 11/04/2018

Towards Unsupervised Speech-to-Text Translation

We present a framework for building speech-to-text translation (ST) syst...

0 Yu-An Chung, et al. ∙

∙ 06/25/2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment

Mapping and translating professional but arcane clinical jargons to cons...

0 Wei-Hung Weng, et al. ∙

∙ 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...

0 Yu-An Chung, et al. ∙

∙ 11/22/2017

Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval

Deep neural networks have been investigated in learning latent represent...

0 Yu-An Chung, et al. ∙

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