activity
20162024
most citedCo-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer

238 citations · 1.1k across the 35 of their papers we have counts for

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Showing eess.IVShow all

10 papers · 1 filter

eess.IV2022★ 4 cited

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI

Yuan Yuan, Euijoon Ahn, Dagan Feng +2

Bi-parametric magnetic resonance imaging (bpMRI) has become a pivotal modality in the detection and diagnosis of clinically significant prostate cancer (csPCa). Developing AI-based…

eess.IV2022★ 19 cited

Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer

Mingyuan Meng, Lei Bi, Dagan Feng +1

Outcome prediction is crucial for head and neck cancer patients as it can provide prognostic information for early treatment planning. Radiomics methods have been widely used for o…

eess.IV2021★ 1 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★ 67 cited

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

Mingyuan Meng, Bingxin Gu, Lei Bi +3

Nasopharyngeal Carcinoma (NPC) is a malignant epithelial cancer arising from the nasopharynx. Survival prediction is a major concern for NPC patients, as it provides early prognost…

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…

eess.IV2021

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning

Yige Peng, Lei Bi, Ashnil Kumar +3

Distant metastases (DM) refer to the dissemination of tumors, usually, beyond the organ where the tumor originated. They are the leading cause of death in patients with soft-tissue…

eess.IV2021★ 26 cited

Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics

Bingxin Gu, Mingyuan Meng, Lei Bi +3

Objective: Deep Learning-based Radiomics (DLR) has achieved great success in medical image analysis and has been considered a replacement for conventional radiomics that relies on…

eess.IV2021★ 48 cited

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT

Xiaohang Fu, Lei Bi, Ashnil Kumar +2

Accurate characterisation of visual attributes such as spiculation, lobulation, and calcification of lung nodules is critical in cancer management. The characterisation of these at…

eess.IV2020★ 157 cited

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

Xiaohang Fu, Lei Bi, Ashnil Kumar +2

Multimodal positron emission tomography-computed tomography (PET-CT) is used routinely in the assessment of cancer. PET-CT combines the high sensitivity for tumor detection with PE…

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…