most citedNestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20231 cited

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Han Zhou, Dong Ni, Ao Chang +10

Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehen…

math.OC2023

Optimal Transmission Switching with Uncertainties from both Renewable Energy and N-k Contingencies

Tong Han, David J. Hill, Yue Song

This paper focuses on the N-k security-constrained optimal transmission switching (OTS) problem for variable renewable energy (VRE) penetrated power grids. A new three-stage stocha…

cs.CV2022

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Tianling Liu, Wennan Liu, Lequan Yu +3

Preoperative and noninvasive prediction of the meningioma grade is important in clinical practice, as it directly influences the clinical decision making. What's more, brain invasi…

eess.IV20225 cited

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Zhaohu Xing, Lequan Yu, Liang Wan +2

Multi-modal MR imaging is routinely used in clinical practice to diagnose and investigate brain tumors by providing rich complementary information. Previous multi-modal MRI segment…

eess.SY2022

Optimal Topology Transition

Tong Han, David J. Hill, Yue Song

Network topology has significant impacts on operational performance of power systems. While extensive research efforts have been devoted to optimization of network topology for imp…