activity
20172022
most citedAutomatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

175 citations · 294 across the 9 of their papers we have counts for

collaborators

10 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…

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.CV20204 cited

Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search

Yige Peng, Lei Bi, Michael Fulham +2

'Radiomics' is a method that extracts mineable quantitative features from radiographic images. These features can then be used to determine prognosis, for example, predicting the d…

cs.CV2020

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image

Yuyu Guo, Lei Bi, Euijoon Ahn +3

Dynamic medical imaging is usually limited in application due to the large radiation doses and longer image scanning and reconstruction times. Existing methods attempt to reduce th…

eess.IV2019

Deep Local Global Refinement Network for Stent Analysis in IVOCT Images

Yuyu Guo

Implantation of stents into coronary arteries is a common treatment option for patients with cardiovascular disease. Assessment of safety and efficacy of the stent implantation occ…

cs.CV20193 cited

Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks

Lei Bi, Yuyu Guo, Qian Wang +3

Automated segmentation of the optic cup and disk on retinal fundus images is fundamental for the automated detection / analysis of glaucoma. Traditional segmentation approaches dep…