368 citations · 1.8k across the 44 of their papers we have counts for
10 papers · 1 filter
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Qingyu Chen, Yifan Peng, Tiarnan Keenan +5
Age-related Macular Degeneration (AMD) is a leading cause of blindness. Although the Age-Related Eye Disease Study group previously developed a 9-step AMD severity scale for manual…
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du, Qingyu Chen, Yifan Peng +3
In multi-label text classification, each textual document can be assigned with one or more labels. Due to this nature, the multi-label text classification task is often considered…
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Yifan Peng, Shazia Dharssi, Qingyu Chen +5
In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AM…
BioSentVec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, Zhiyong Lu
Sentence embeddings have become an essential part of today's natural language processing (NLP) systems, especially together advanced deep learning methods. Although pre-trained sen…
PubMed Labs: An experimental platform for improving biomedical literature search
Nicolas Fiorini, Kathi Canese, Rostyslav Bryzgunov +9
PubMed is a freely accessible system for searching the biomedical literature, with approximately 2.5 million users worldwide on an average workday. We have recently developed PubMe…
Personalized neural language models for real-world query auto completion
Nicolas Fiorini, Zhiyong Lu
Query auto completion (QAC) systems are a standard part of search engines in industry, helping users formulate their query. Such systems update their suggestions after the user typ…
PMC text mining subset in BioC: 2.3 million full text articles and growing
Donald C. Comeau, Chih-Hsuan Wei, Rezarta Islamaj Doğan +1
Interest in full text mining biomedical research articles is growing. NCBI provides the PMC Open Access and Author Manuscript sets of articles which are available for text mining.…
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval
Sunil Mohan, Nicolas Fiorini, Sun Kim +1
Publications in the life sciences are characterized by a large technical vocabulary, with many lexical and semantic variations for expressing the same concept. Towards addressing t…
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models
Yifan Peng, Anthony Rios, Ramakanth Kavuluru +1
Text mining the relations between chemicals and proteins is an increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the development and evaluation of s…
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
Xiaosong Wang, Yifan Peng, Le Lu +2
Chest X-rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X-rays is often an entry-level task for radiolog…