Yu-Dong Zhang

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Automated Multicenter Pipeline for Pathological T-Stage Prediction of Clear-Cell RCC on Contrast-Enhanced CT via nnUN et Segmentation and SpatialMamba Feature Fusion.
BIBM
Dong Zhang, Haitao Xu, Liangliang Liu, Shuai Shan, Yu-Dong Zhang
2025 — conf
ConvFuseNet: Advancing Clinically-Applicable ccRCC Prognosis Via Adaptive Convolutional Fusion and Robust Multi-Center Validation.
BIBM
Dong Zhang, Haitao Xu, Liangliang Liu, Shuai Shan, Yu-Dong Zhang
2025 J jnl
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction.
Multim. Tools Appl.
Snehal V. Laddha, Rohini S. Ochawar, Krushna Gandhi, Yu-Dong Zhang
2025 J jnl
From Data to Deployment: A Comprehensive Analysis of Risks in Large Language Model Research and Development.
IET Inf. Secur.
Tianshu Zhang, Ruidan Su, Anli Zhong, Minwei Fang, Yu-Dong Zhang
2025 J jnl
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning.
CoRR
Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen
2025 J jnl
RECIST
IEEE Trans. Image Process.
Rushi Jiao, Qiuping Liu, Yao Zhang, Bangzheng Pu, Bingsen Xue, Yi Cheng, Kailan Yang, Xisheng Liu, Jinrong Qu, Cheng Jin, Ya Zhang, Yanfeng Wang, Yu-Dong Zhang
2025 J jnl
Tuberculosis and pneumonia diagnosis in chest X-rays by large adaptive filter and aligning normalized network with report-guided multi-level alignment.
Eng. Appl. Artif. Intell.
Si-Yuan Lu, Ziquan Zhu, Yu-Dong Zhang, Yu-Dong Yao
2024 J jnl
Intellectual assessment of amyotrophic lateral sclerosis using deep resemble forward neural network.
Neural Networks
Abdullah Alqahtani, Shtwai Alsubai, Mohemmed Sha, Ashit Kumar Dutta, Yu-Dong Zhang
2024 J jnl
Introduction to the Special Issue on Next Generation Pervasive Reconfigurable Computing for High Performance Real Time Applications.
Scalable Comput. Pract. Exp.
Venkatesan C, Yu-Dong Zhang, Chee-Onn Chow, Yong Shi
2023 J jnl
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion
J. M. Górriz, I. Álvarez Illán, Agustín Álvarez-Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez-Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, Victoria Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, José Manuel Ferrández-Vicente
2023 J jnl
WE-BA: Covid-19 detection by Wavelet Entropy and Bat Algorithm.
EAI Endorsed Trans. Pervasive Health Technol.
Wangyang Yu, Yanrong Pei, Shui-Hua Wang, Yu-Dong Zhang
2022 J jnl
A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer.
Medical Image Anal.
Jun Li, Liang Qi, Qingzhong Chen, Yu-Dong Zhang, Xiaohua Qian
2022 J jnl
Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.
IEEE Trans. Medical Imaging
Xiahan Chen, Zihao Chen, Jun Li, Yu-Dong Zhang, Xiaozhu Lin, Xiaohua Qian
2022 — conf
STResNet: Covid-19 Detection by ResNet Transfer Learning and Stochastic Pooling.
MICAD
Wei Wang, Shui-Hua Wang, Yu-Dong Zhang
2022 J jnl
TED: Two-stage expert-guided interpretable diagnosis framework for microvascular invasion in hepatocellular carcinoma.
Medical Image Anal.
Yuhang Zhou, Shuwen Sun, Qiu-Ping Liu, Xun Xu, Ya Zhang, Yu-Dong Zhang
2021 J jnl
How to alleviate social loafing in online brand communities: The roles of community support and commitment.
Electron. Commer. Res. Appl.
Chu-Bing Zhang, Na Li, Shenghao Han, Yu-Dong Zhang, Ru-Jing Hou
2021 — conf
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
MICCAI (7)
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu
2021 J jnl
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
CoRR
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu
2021 J jnl
Social loafing in online brand communities: the roles of personality and dehumanization.
Online Inf. Rev.
Ru-Jing Hou, Shenghao Han, Yu-Dong Zhang, Chu-Bing Zhang, Kun Wang
2020 J jnl
Classification of Alzheimer's Disease via Eight-Layer Convolutional Neural Network with Batch Normalization and Dropout Techniques.
J. Medical Imaging Health Informatics
Xianwei Jiang, Liang Chang, Yu-Dong Zhang