activity
20192022
most citedOrgan at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

14 citations · 57 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.IV2021

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study

Dazhou Guo, Jia Ge, Xianghua Ye +22

Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications. Consensus guidelines recommend a set of more than 40 OARs in the head…

cs.CV2021★ 1 cited

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Xianghua Ye, Dazhou Guo, Chen-kan Tseng +22

Background: The current clinical workflow for esophageal gross tumor volume (GTV) contouring relies on manual delineation of high labor-costs and interuser variability. Purpose: To…