Remote Robot Control Using Intelligent Hand-Held Devices. - Shandong Wu; Yimin Chen (CIT, 2004)

Miam: A Robot Oriented Mobile Intelligent Agent Model. - Shandong Wu; Yimin Chen (IIP, 2004)

A viewpoint invariant signature descriptor for curved shape recognition. - Shandong Wu; Youfu Li 001; Jianwei Zhang 001 (ROBIO, 2007)

A hierarchical motion trajectory signature descriptor. - Shandong Wu; Youfu Li 001; Jianwei Zhang 001 (ICRA, 2008)

Invariant signature description and trajectory reproduction for robot Learning by Demonstration. - Shandong Wu; Youfu Li 001; Jianwei Zhang 001 (IROS, 2008)

Signature based task description and perception for motion trajectory priented Robot Learning. - Shandong Wu; Youfu Li 001; Jianwei Zhang 001 (ROBIO, 2008)

On Signature Invariants for Effective Motion Trajectory Recognition. - Shandong Wu; Youfu Li 001 (Int. J. Robotics Res., 2008)

Probabilistic Cluster Signature for Modeling Motion Classes. - Shandong Wu; Youfu Li 001; Jianwei Zhang 001 (IROS, 2009)

Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition. - Shandong Wu; Youfu Li 001 (Pattern Recognit., 2009)

Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. - Shandong Wu; Brian E. Moore; Mubarak Shah (CVPR, 2010)

Motion trajectory reproduction from generalized signature description. - Shandong Wu; Youfu Li 001 (Pattern Recognit., 2010)

Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories. - Shandong Wu; Omar Oreifej; Mubarak Shah (ICCV, 2011)

Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI. - Shandong Wu; Susan Weinstein; Brad M. Keller; Emily F. Conant; Despina Kontos (Digital Mammography / IWDM, 2012)

Fully automated chest wall line segmentation in breast MRI by using context information. - Shandong Wu; Susan P. Weinstein; Emily F. Conant; A. Russell Localio; Mitchell D. Schnall; Despina Kontos (Computer-Aided Diagnosis, 2012)

Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI. - Shandong Wu; Susan Weinstein; Despina Kontos (MICCAI (2), 2012)

Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas. - Shandong Wu; Susan P. Weinstein; Emily F. Conant; Despina Kontos (Computer-Aided Diagnosis, 2013)

Tumor segmentation in brain MRI by sparse optimization. - Shandong Wu; David J. Rippe; Nicholas G. Avgeropoulos (Image Processing, 2013)

Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk. - Shandong Wu; Brenda F. Kurland; Wendie A. Berg; Margarita L. Zuley; Rachel C. Jankowitz; Jules H. Sumkin; David Gur (Computer-Aided Diagnosis, 2015)

Visual tracking based on group sparsity learning. - Yong Wang; Shiqiang Hu; Shandong Wu (Mach. Vis. Appl., 2015)

Robust UAV-Based Tracking Using Hybrid Classifiers. - Wei Shi; Yong Wang; Shandong Wu (ICCV Workshops, 2017)

Do pre-trained deep learning models improve computer-aided classification of digital mammograms? - Sarah S. Aboutalib; Aly A. Mohamed; Margarita L. Zuley; Wendie A. Berg; Yahong Luo; Shandong Wu (Computer-Aided Diagnosis, 2018)

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective. - Aly A. Mohamed; Yahong Luo; Hong Peng; Rachel C. Jankowitz; Shandong Wu (J. Digit. Imaging, 2018)

Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy. - Kadie Clancy; Lei Zhang; Aly A. Mohamed; Sarah S. Aboutalib; Wendie A. Berg; Shandong Wu (Computer-Aided Diagnosis, 2019)

Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. - Giacomo Nebbia; Aly A. Mohamed; Ruimei Chai; Bingjie Zheng; Margarita L. Zuley; Shandong Wu (Computer-Aided Diagnosis, 2019)

Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI. - Lei Zhang; Ruimei Chai; Aly A. Mohamed; Bingjie Zheng; Zhimeng Luo; Shandong Wu (Computer-Aided Diagnosis, 2019)

Object tracking based on Huber loss function. - Yong Wang; Shiqiang Hu; Shandong Wu (Vis. Comput., 2019)

Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model. - Emine Doganay; Yahong Luo; Long Gao; Puchen Li; Wendie A. Berg; Shandong Wu (Computer-Aided Diagnosis, 2020)

Handling imbalanced medical image data: A deep-learning-based one-class classification approach. - Long Gao; Lei Zhang; Chang Liu; Shandong Wu (Artif. Intell. Medicine, 2020)

Response score of deep learning for out-of-distribution sample detection of medical images. - Long Gao; Shandong Wu (J. Biomed. Informatics, 2020)

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study. - Kadie Clancy; Sarah S. Aboutalib; Aly A. Mohamed; Jules H. Sumkin; Shandong Wu (J. Digit. Imaging, 2020)

Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. - Giacomo Nebbia; Qian Zhang; Dooman Arefan; Xinxiang Zhao; Shandong Wu (J. Digit. Imaging, 2020)

Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades. - Zhiwei Zhang; Jingjing Xiao; Shandong Wu; Fajin Lv; Junwei Gong; Lin Jiang; Renqiang Yu; Tianyou Luo (J. Digit. Imaging, 2020)

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance. - Degan Hao; Lei Zhang 036; Jules H. Sumkin; Aly A. Mohamed; Shandong Wu (IEEE J. Biomed. Health Informatics, 2020)

Guest Editorial: Deep Learning in Ultrasound Imaging. - Caifeng Shan; Tao Tan 002; Shandong Wu; Julia A. Schnabel (IEEE J. Biomed. Health Informatics, 2020)

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. - Jun Luo 010; Gene Kitamura; Emine Doganay; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2021)

Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. - Giacomo Nebbia; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2021)

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. - Jun Luo 010; Gene Kitamura; Dooman Arefan; Emine Doganay; Ashok Panigrahy; Shandong Wu (MLMI@MICCAI, 2021)

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. - Giacomo Nebbia; Saba Dadsetan; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Heng Huang; Shandong Wu (MICCAI (5), 2021)

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. - Yanfu Zhang; Liang Zhan; Shandong Wu; Paul M. Thompson; Heng Huang (MICCAI (7), 2021)

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Shandong Wu (CoRR, 2021)

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Margarita L. Zuley; Shandong Wu (CoRR, 2021)

3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. - Jian Zheng 001; Haotian Sun; Shandong Wu; Ke Jiang; Yunsong Peng; Xiaodong Yang 005; Fan Zhang; Ming Li (IEEE J. Biomed. Health Informatics, 2021)

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. - Jun Luo 010; Shandong Wu (IJCAI, 2022)

Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. - Jun Luo 010; Shandong Wu (ISBI, 2022)

Deep curriculum learning in task space for multi-class based mammography diagnosis. - Jun Luo 010; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2022)

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. - Degan Hao; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2022)

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. - Degan Hao; Maaz Ahsan; Tariq Salim; Andres Duarte-Rojo; Dadashzadeh Esmaeel; Yudong Zhang 001; Dooman Arefan; Shandong Wu (Artif. Intell. Medicine, 2022)

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. - Degan Hao; Qiong Li; Qiuxia Feng; Liang Qi; Xisheng Liu; Dooman Arefan; Yu-Dong Zhang 001; Shandong Wu (Artif. Intell. Medicine, 2022)

Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. - Saba Dadsetan; Mohsen Hejrati; Shandong Wu; Somaye Hashemifar (CoRR, 2022)

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. - Saba Dadsetan; Dooman Arefan; Wendie A. Berg; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Pattern Recognit., 2022)

PGFed: Personalize Each Client's Global Objective for Federated Learning. - Jun Luo 010; Matías Mendieta; Chen Chen 001; Shandong Wu (ICCV, 2023)

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Jun Luo 010; Shandong Wu; Chen Chen 001 (ICCV, 2023)

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. - Zhengbo Zhou; Jun Luo 010; Dooman Arefan; Gene Kitamura; Shandong Wu (ISBI, 2023)

Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. - Saba Dadsetan; Marcio Albers; Allison Weinstock; Volker Musahl; Gene Kitamura; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2023)

Medical knowledge-guided deep learning for mammographic breast density classification. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Margarita L. Zuley; Shandong Wu (Computer-Aided Diagnosis, 2023)

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning. - Saba Dadsetan; Mohsen Hejrati; Shandong Wu; Somaye Hashemifar (Trans. Mach. Learn. Res., 2023)

Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction. - Degan Hao; Qiong Li; Yudong Zhang 001; Shandong Wu (ISBI, 2024)

Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Degan Hao; Jules H. Sumkin; Shandong Wu (ISBI, 2024)

Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples. - Degan Hao; Dooman Arefan; Margarita L. Zuley; Wendie A. Berg; Shandong Wu (Deep-Breath@MICCAI, 2024)

Adversarially Robust Feature Learning for Breast Cancer Diagnosis. - Degan Hao; Dooman Arefan; Margarita L. Zuley; Wendie A. Berg; Shandong Wu (CoRR, 2024)

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. - Jun Luo; Chen Chen; Shandong Wu (CoRR, 2024)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. - Zhengbo Zhou; Degan Hao; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (CoRR, 2024)

SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis. - Haotian Sun; Shandong Wu; Xinjian Chen 001; Ming Li; Lingji Kong; Xiaodong Yang 005; You Meng; Shuangqing Chen; Jian Zheng 001 (IEEE Trans. Cybern., 2024)

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. - Jun Luo 010; Chen Chen 001; Shandong Wu (ICLR, 2025)

Longmambattn: A Novel Architecture for Enhanced Breast Cancer Risk Prediction Using Variable-Length Longitudinal Mammograms. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (ISBI, 2025)

Longitudinal Mammogram Exam-Based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. - Zhengbo Zhou; Degan Hao; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Lars Grimm; James Joshi; Shandong Wu (Deep-Breath@MICCAI, 2025)

STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (CoRR, 2025)

Guest Editorial: Multi-Modal Joint Learning in Healthcare Imaging. - Tao Tan 002; Zhang Li; Yue Sun; Shandong Wu (IEEE J. Biomed. Health Informatics, 2025)

Δt-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Shandong Wu (CoRR, 2025)