b'Zhiyong Lu'

research

∙ 07/27/2023

Matching Patients to Clinical Trials with Large Language Models

Clinical trials are vital in advancing drug development and evidence-bas...

0 Qiao Jin, et al. ∙

research

∙ 07/18/2023

PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence

Biomedical research yields a wealth of information, much of which is onl...

0 Qiao Jin, et al. ∙

research

∙ 07/14/2023

A scoping review on multimodal deep learning in biomedical images and texts

Computer-assisted diagnostic and prognostic systems of the future should...

0 Zhaoyi Sun, et al. ∙

research

∙ 07/02/2023

BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

Information retrieval (IR) is essential in biomedical knowledge acquisit...

0 Qiao Jin, et al. ∙

research

∙ 06/19/2023

BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets

Biomedical relation extraction (RE) is the task of automatically identif...

0 Po-Ting Lai, et al. ∙

research

∙ 06/15/2023

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

ChatGPT has drawn considerable attention from both the general public an...

0 Shubo Tian, et al. ∙

research

∙ 06/14/2023

Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Despite the reduction in turn-around times in radiology reports with the...

0 Qingqing Zhu, et al. ∙

research

∙ 04/19/2023

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

While large language models (LLMs) have been successfully applied to var...

0 Qiao Jin, et al. ∙

research

∙ 04/10/2023

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search

Queries with similar information needs tend to have similar document cli...

0 Qiao Jin, et al. ∙

research

∙ 02/19/2023

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning

Medical visual question answering (VQA) aims to answer clinically releva...

0 Xinyue Hu, et al. ∙

research

∙ 02/03/2023

Bioformer: an efficient transformer language model for biomedical text mining

Pretrained language models such as Bidirectional Encoder Representations...

0 Li Fang, et al. ∙

research

∙ 11/30/2022

AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning

Biomedical named entity recognition (BioNER) seeks to automatically reco...

0 Ling Luo, et al. ∙

research

∙ 09/27/2022

LitCovid in 2022: an information resource for the COVID-19 literature

LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first lau...

0 Qingyu Chen, et al. ∙

research

∙ 09/16/2022

Comprehensive identification of Long Covid articles with human-in-the-loop machine learning

A significant percentage of COVID-19 survivors experience ongoing multis...

11 Robert Leaman, et al. ∙

research

∙ 05/08/2022

Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework

The automatic assignment of species information to the corresponding gen...

0 Ling Luo, et al. ∙

research

∙ 04/20/2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

The COVID-19 pandemic has been severely impacting global society since D...

12 Qingyu Chen, et al. ∙

research

∙ 04/19/2022

LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation

The rapid growth of biomedical literature poses a significant challenge ...

16 Qingyu Chen, et al. ∙

research

∙ 04/08/2022

BioRED: A Comprehensive Biomedical Relation Extraction Dataset

Automated relation extraction (RE) from biomedical literature is critica...

0 Ling Luo, et al. ∙

research

∙ 04/07/2022

tmVar 3.0: an improved variant concept recognition and normalization tool

Previous studies have shown that automated text-mining tools are becomin...

0 Chih-Hsuan Wei, et al. ∙

research

∙ 03/31/2022

Universal Lymph Node Detection in T2 MRI using Neural Networks

Purpose: Identification of abdominal Lymph Nodes (LN) that are suspiciou...

0 Tejas Sudharshan Mathai, et al. ∙

research

∙ 11/18/2021

Perceiving and Modeling Density is All You Need for Image Dehazing

In the real world, the degradation of images taken under haze can be qui...

7 Tian Ye, et al. ∙

research

∙ 11/09/2021

Lymph Node Detection in T2 MRI with Transformers

Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI...

0 Tejas Sudharshan Mathai, et al. ∙

research

∙ 10/12/2021

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Image deblurring is a classical computer vision problem that aims to rec...

0 Wenbin Zou, et al. ∙

research

∙ 01/11/2021

BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer

A biomedical relation statement is commonly expressed in multiple senten...

0 Po-Ting Lai, et al. ∙

research

∙ 11/09/2020

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera

Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...

0 Qingyu Chen, et al. ∙

research

∙ 10/27/2020

A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2

The number of unique terms in the scientific literature used to refer to...

0 Robert Leaman, et al. ∙

research

∙ 10/09/2020

Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)

The COVID-19 pandemic has had a significant impact on society, both beca...

0 Qingyu Chen, et al. ∙

research

∙ 09/17/2020

PhenoTagger: A Hybrid Method for Phenotype Concept Recognition using Human Phenotype Ontology

Automatic phenotype concept recognition from unstructured text remains a...

0 Ling Luo, et al. ∙

research

∙ 08/07/2020

Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view

Timely access to accurate scientific literature in the battle with the o...

0 Lana Yeganova, et al. ∙

research

∙ 07/19/2020

Predicting risk of late age-related macular degeneration using deep learning

By 2040, age-related macular degeneration (AMD) will affect approximatel...

0 Yifan Peng, et al. ∙

research

∙ 06/11/2020

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature

The latest threat to global health is the COVID-19 outbreak. Although th...

0 Yifan Peng, et al. ∙

research

∙ 05/06/2020

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

Multi-task learning (MTL) has achieved remarkable success in natural lan...

0 Yifan Peng, et al. ∙

research

∙ 04/24/2020

TeamTat: a collaborative text annotation tool

Manually annotated data is key to developing text-mining and information...

0 Rezarta Islamaj, et al. ∙

research

∙ 12/23/2019

BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale

Capturing the semantics of related biological concepts, such as genes an...

0 Qingyu Chen, et al. ∙

research

∙ 09/23/2019

Biomedical Mention Disambiguation using a Deep Learning Approach

Automatically locating named entities in natural language text - named e...

0 Chih-Hsuan Wei, et al. ∙

research

∙ 09/06/2019

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Capturing sentence semantics plays a vital role in a range of text minin...

0 Qingyu Chen, et al. ∙

research

∙ 08/12/2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

When reading medical images such as a computed tomography (CT) scan, rad...

6 Ke Yan, et al. ∙

research

∙ 06/13/2019

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Inspired by the success of the General Language Understanding Evaluation...

0 Yifan Peng, et al. ∙

research

∙ 06/07/2019

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

Purpose: To assess the utility of deep learning in the detection of geog...

0 Tiarnan D. Keenan, et al. ∙

research

∙ 04/30/2019

A self-attention based deep learning method for lesion attribute detection from CT reports

In radiology, radiologists not only detect lesions from the medical imag...

0 Yifan Peng, et al. ∙

research

∙ 04/09/2019

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

In radiologists' routine work, one major task is to read a medical image...

26 Ke Yan, et al. ∙

research

∙ 03/04/2019

Fine-grained lesion annotation in CT images with knowledge mined from radiology reports

In radiologists' routine work, one major task is to read a medical image...

0 Ke Yan, et al. ∙

research

∙ 01/18/2019

Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction

The biomedical literature provides a rich source of knowledge such as pr...

0 Yijia Zhang, et al. ∙

research

∙ 12/02/2018

A multi-task deep learning model for the classification of Age-related Macular Degeneration

Age-related Macular Degeneration (AMD) is a leading cause of blindness. ...

0 Qingyu Chen, et al. ∙

research

∙ 11/19/2018

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

In assessing the severity of age-related macular degeneration (AMD), the...

0 Yifan Peng, et al. ∙

research

∙ 11/13/2018

ML-Net: multi-label classification of biomedical texts with deep neural networks

Background: Multi-label text classification is one type of text classifi...

0 Jingcheng Du, et al. ∙

research

∙ 10/22/2018

BioSentVec: creating sentence embeddings for biomedical texts

Sentence embeddings have become an essential part of today's natural lan...

0 Qingyu Chen, et al. ∙

research

∙ 06/11/2018

PubMed Labs: An experimental platform for improving biomedical literature search

PubMed is a freely accessible system for searching the biomedical litera...

0 Nicolas Fiorini, et al. ∙

research

∙ 04/17/2018

Personalized neural language models for real-world query auto completion

Query auto completion (QAC) systems are a standard part of search engine...

0 Nicolas Fiorini, et al. ∙

research

∙ 04/16/2018

PMC text mining subset in BioC: 2.3 million full text articles and growing

Interest in full text mining biomedical research articles is growing. NC...

0 Donald C. Comeau, et al. ∙

Zhiyong Lu

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