activity
20182021
most citedAbdominal multi-organ segmentation with organ-attention networks and statistical fusion

254 citations · 267 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 1 cited

A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation

Yixiao Zhang, Adam Kortylewski, Qing Liu +9

The field of computational pathology has witnessed great advancements since deep neural networks have been widely applied. These networks usually require large numbers of annotated…

eess.IV2021

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations

Seyoun Park, Elliot K. Fishman, Alan L. Yuille

Human body is a complex dynamic system composed of various sub-dynamic parts. Especially, thoracic and abdominal organs have complex internal shape variations with different freque…

q-bio.TO2020

Organ size increases with obesity and correlates with cancer risk

Haley Grant Yifan Zhang, Lu Li, Yan Wang +15

Obesity increases significantly cancer risk in various organs. Although this has been recognized for decades, the mechanism through which this happens has never been explained. Her…

eess.IV2019★ 12 cited

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

Yuyin Zhou, Yingwei Li, Zhishuai Zhang +5

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with an overall five-year survival rate of 8%. Due to subtle texture changes of PDAC, pancreatic dual-phas…

cs.CV2018★ 254 cited

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Yan Wang, Yuyin Zhou, Wei Shen +3

Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applications such as computer-aided diagnosis and computer-aided surgery. But this task is…