activity
20202026
most citedDeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

67 citations · 385 across the 32 of their papers we have counts for

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Showing 2021Show all

4 papers · 1 filter

eess.IV2021★ 27 cited

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari +70

Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing gene…

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★ 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…

cs.CV2021★ 31 cited

Enhancing Medical Image Registration via Appearance Adjustment Networks

Mingyuan Meng, Lei Bi, Michael Fulham +2

Deformable image registration is fundamental for many medical image analyses. A key obstacle for accurate image registration lies in image appearance variations such as the variati…