Shandong Wu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 48

Top Topics

Medical Knowledge

Digital Mammograms

Top Venues

Medical Imaging: Computer-Aided Diagnosis

J. Digit. Imaging

Artif. Intell. Medicine

Publications

Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR (2024)
Haotian Sun, Shandong Wu, Xinjian Chen, Ming Li, Lingji Kong, Xiaodong Yang, You Meng, Shuangqing Chen, Jian Zheng
SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis. IEEE Trans. Cybern. 54 (4) (2024)
Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning. Trans. Mach. Learn. Res. 2023 (2023)
Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR (2023)
Zhengbo Zhou, Jun Luo, Gene Kitamura, Shandong Wu
Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR (2023)
Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV (2023)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical knowledge-guided deep learning for mammographic breast density classification. Medical Imaging: Computer-Aided Diagnosis (2023)
Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
PGFed: Personalize Each Client's Global Objective for Federated Learning. ICCV (2023)
Saba Dadsetan, Marcio Albers, Allison Weinstock, Volker Musahl, Gene Kitamura, Dooman Arefan, Shandong Wu
Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. Medical Imaging: Computer-Aided Diagnosis (2023)
Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI (2023)
Jun Luo, Shandong Wu
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. ISBI (2022)
Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. Artif. Intell. Medicine 134 (2022)
Degan Hao, Dooman Arefan, Shandong Wu
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Medical Imaging: Computer-Aided Diagnosis (2022)
Jun Luo, Shandong Wu
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI (2022)
Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep curriculum learning in task space for multi-class based mammography diagnosis. Medical Imaging: Computer-Aided Diagnosis (2022)
Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. Artif. Intell. Medicine 132 (2022)
Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar
Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. CoRR (2022)
Saba Dadsetan, Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recognit. 132 (2022)
Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR (2022)
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Medical Imaging: Computer-Aided Diagnosis (2021)
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images. CoRR (2021)
Jian Zheng, Haotian Sun, Shandong Wu, Ke Jiang, Yunsong Peng, Xiaodong Yang, Fan Zhang, Ming Li
3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR (2021)
Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. CoRR (2021)
Jun Luo, Shandong Wu
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. CoRR (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI (2021)
Jun Luo, Shandong Wu
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification. CoRR (2021)
Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2021)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR (2021)
Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) (2021)
Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) (2021)
Long Gao, Shandong Wu
Response score of deep learning for out-of-distribution sample detection of medical images. J. Biomed. Informatics 107 (2020)
Kadie Clancy, Sarah S. Aboutalib, Aly A. Mohamed, Jules H. Sumkin, Shandong Wu
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study. J. Digit. Imaging 33 (5) (2020)
Long Gao, Lei Zhang, Chang Liu, Shandong Wu
Handling imbalanced medical image data: A deep-learning-based one-class classification approach. Artif. Intell. Medicine 108 (2020)
Emine Doganay, Yahong Luo, Long Gao, Puchen Li, Wendie A. Berg, Shandong Wu
Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model. Medical Imaging: Computer-Aided Diagnosis (2020)
Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades. J. Digit. Imaging 33 (4) (2020)
Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel
Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 24 (4) (2020)
Degan Hao, Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Giacomo Nebbia, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging 33 (6) (2020)
Kadie Clancy, Lei Zhang, Aly A. Mohamed, Sarah S. Aboutalib, Wendie A. Berg, Shandong Wu
Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy. Medical Imaging: Computer-Aided Diagnosis (2019)
Lei Zhang, Ruimei Chai, Aly A. Mohamed, Bingjie Zheng, Zhimeng Luo, Shandong Wu
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI. Medical Imaging: Computer-Aided Diagnosis (2019)
Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. Medical Imaging: Computer-Aided Diagnosis (2019)
Yong Wang, Wei Shi, Shandong Wu
Robust UAV-based tracking using hybrid classifiers. Mach. Vis. Appl. 30 (1) (2019)
Yong Wang, Shiqiang Hu, Shandong Wu
Object tracking based on Huber loss function. Vis. Comput. 35 (11) (2019)
Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu
Do pre-trained deep learning models improve computer-aided classification of digital mammograms? Medical Imaging: Computer-Aided Diagnosis (2018)
Aly A. Mohamed, Yahong Luo, Hong Peng, Rachel C. Jankowitz, Shandong Wu
Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective. J. Digit. Imaging 31 (4) (2018)
Wei Shi, Yong Wang, Shandong Wu
Robust UAV-Based Tracking Using Hybrid Classifiers. ICCV Workshops (2017)
Shandong Wu, Brenda F. Kurland, Wendie A. Berg, Margarita L. Zuley, Rachel C. Jankowitz, Jules H. Sumkin, David Gur
Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2015)
Yong Wang, Shiqiang Hu, Shandong Wu
Visual tracking based on group sparsity learning. Mach. Vis. Appl. 26 (1) (2015)
Shandong Wu, Susan P. Weinstein, Emily F. Conant, Despina Kontos
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas. Medical Imaging: Computer-Aided Diagnosis (2013)
Shandong Wu, David J. Rippe, Nicholas G. Avgeropoulos
Tumor segmentation in brain MRI by sparse optimization. Medical Imaging: Image Processing (2013)
Shandong Wu, Susan Weinstein, Brad M. Keller, Emily F. Conant, Despina Kontos
Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI. Digital Mammography / IWDM (2012)
Shandong Wu, Susan P. Weinstein, Emily F. Conant, A. Russell Localio, Mitchell D. Schnall, Despina Kontos
Fully automated chest wall line segmentation in breast MRI by using context information. Medical Imaging: Computer-Aided Diagnosis (2012)
Shandong Wu, Susan Weinstein, Despina Kontos
Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI. MICCAI (2) (2012)
Shandong Wu, Omar Oreifej, Mubarak Shah
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories. ICCV (2011)
Shandong Wu, Youfu Li
Motion trajectory reproduction from generalized signature description. Pattern Recognit. 43 (1) (2010)
Shandong Wu, Brian E. Moore, Mubarak Shah
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. CVPR (2010)
Shandong Wu, Youfu Li, Jianwei Zhang
Probabilistic Cluster Signature for Modeling Motion Classes. IROS (2009)
Shandong Wu, Youfu Li
Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition. Pattern Recognit. 42 (1) (2009)
Shandong Wu, Youfu Li, Jianwei Zhang
Signature based task description and perception for motion trajectory priented Robot Learning. ROBIO (2008)
Shandong Wu, Youfu Li
On Signature Invariants for Effective Motion Trajectory Recognition. Int. J. Robotics Res. 27 (8) (2008)
Shandong Wu, Youfu Li, Jianwei Zhang
A hierarchical motion trajectory signature descriptor. ICRA (2008)
Shandong Wu, Youfu Li, Jianwei Zhang
Invariant signature description and trajectory reproduction for robot Learning by Demonstration. IROS (2008)
Shandong Wu, Youfu Li, Jianwei Zhang
A viewpoint invariant signature descriptor for curved shape recognition. ROBIO (2007)
Shandong Wu, Yimin Chen
Remote Robot Control Using Intelligent Hand-Held Devices. CIT (2004)
Shandong Wu, Yimin Chen
Miam: A Robot Oriented Mobile Intelligent Agent Model. Intelligent Information Processing (2004)