activity
20172021
most citedAutomatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

175 citations · 313 across the 15 of their papers we have counts for

collaborators

19 papers

eess.IV20211 cited

Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images

Yuyu Guo, Lei Bi, Dongming Wei +6

Motion estimation is a fundamental step in dynamic medical image processing for the assessment of target organ anatomy and function. However, existing image-based motion estimation…

cs.CV20212 cited

A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

Euijoon Ahn, Dagan Feng, Jinman Kim

The segmentation of medical images is a fundamental step in automated clinical decision support systems. Existing medical image segmentation methods based on supervised deep learni…

cs.CL2021

Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

Usman Naseem, Adam G. Dunn, Matloob Khushi +1

The availability of biomedical text data and advances in natural language processing (NLP) have made new applications in biomedical NLP possible. Language models trained or fine tu…

cs.CL2021

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU

Usman Naseem, Matloob Khushi, Jinman Kim +1

Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs.…

eess.IV2021

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation

Kai-Chieh Liang, Lei Bi, Ashnil Kumar +2

Sequential whole-body 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) scans are regarded as the imaging modality of choice for the assessment of treatment response…

cs.CL20201 cited

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition

Usman Naseem, Matloob Khushi, Vinay Reddy +3

In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recogn…