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20212026
most citedMulti-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics

3 citations · 9 across the 16 of their papers we have counts for

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6 papers · 1 filter

eess.IV2025

Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network

Fubao Zhu, Yang Zhang, Gengmin Liang +13

Early and accurate diagnosis of pulmonary hypertension (PH) is essential for optimal patient management. Differentiating between pre-capillary and post-capillary PH is critical for…

eess.IV2024★ 1 cited

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

Shaojie Tang, Penpen Miao, Xingyu Gao +10

A method was proposed for the point cloud-based registration and image fusion between cardiac single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) a…

eess.IV2024★ 2 cited

3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention

Huan Huang, Liheng Qiu, Shenmiao Yang +7

Background: Accurate segmentation of diffuse large B-cell lymphoma (DLBCL) lesions is challenging due to their complex patterns in medical imaging. Objective: This study aims to de…

eess.IV2023★ 1 cited

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images

Ni Yao, Hang Hu, Kaicong Chen +9

Objectives To develop and validate a deep learning-based diagnostic model incorporating uncertainty estimation so as to facilitate radiologists in the preoperative differentiation…

eess.IV2023★ 1 cited

MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation

Fubao Zhu, Yanhui Tian, Chuang Han +4

The privacy protection mechanism of federated learning (FL) offers an effective solution for cross-center medical collaboration and data sharing. In multi-site medical image segmen…

eess.IV2021

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos

Yinghui Meng, Minghao Dong, Xumin Dai +8

Automatic identification of proper image frames at the end-diastolic (ED) and end-systolic (ES) frames during the review of invasive coronary angiograms (ICA) is important to asses…