Shandong Wu - RankMe

88 papers A* 8A 2B 1C 1Journal 38Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Applications of Medical Artificial Intelligence - 4th International Workshop, AMAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2026	A*	`conf`	Δt-Mamba3D: A Time‑Aware Spatio‑Temporal State‑Space Model for Breast Cancer Risk Prediction. AAAI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu
2025	—	`conf`	An Unsupervised Domain Adaptation Method to Enhance Diagnostic Model Resilience on Heterogeneous Medical Imaging Data. TPS-ISA Zhiwei Gong, Dooman Arefan, Wendie A. Berg, Shandong Wu
2025	—	`ed.`	Applications of Medical Artificial Intelligence - Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2025	—	`ed.`	Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings Deep-Breath@MICCAI Ritse M. Mann, Tianyu Zhang, Tao Tan, Luyi Han, Daniel Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens
2025	—	`conf`	Bias-Resilient Feature Learning for Robust Domain Adaptation in Mammography. AMAI@MICCAI Degan Hao, Dooman Arefan, Jun Luo, Margarita L. Zuley, Na Du, Shandong Wu
2025	J	`jnl`	Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge. CoRR Zehui Lin, Luyi Han, Xin Wang, Ying Zhou, Yanning Zhang, Tianyu Zhang, Lingyun Bao, Shandong Wu, Dong Xu, Tao Tan, UUSIC25 Challenge Consortium
2025	J	`jnl`	Guest Editorial: Multi-Modal Joint Learning in Healthcare Imaging. IEEE J. Biomed. Health Informatics Tao Tan, Zhang Li, Yue Sun, Shandong Wu
2025	—	`conf`	Longitudinal Mammogram Exam-Based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. Deep-Breath@MICCAI Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Lars Grimm, James Joshi, Shandong Wu
2025	—	`conf`	Longmambattn: A Novel Architecture for Enhanced Breast Cancer Risk Prediction Using Variable-Length Longitudinal Mammograms. ISBI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2025	A*	`conf`	Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. ICLR Jun Luo, Chen Chen, Shandong Wu
2025	J	`jnl`	STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction. CoRR Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2025	—	`conf`	Uncertainty Quantification for Deep Learning-Based Medical Imaging Classification Model Evaluation and Individualized Risk Estimation. TPS-ISA Jiren Li, Dooman Arefan, Shandong Wu
2025	J	`jnl`	Δt-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction. CoRR Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu
2024	J	`jnl`	Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
2024	—	`ed.`	Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2024	—	`conf`	Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. ISBI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu
2024	J	`jnl`	Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. CoRR Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2024	—	`conf`	Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction. ISBI Degan Hao, Qiong Li, Yudong Zhang, Shandong Wu
2024	J	`jnl`	Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. CoRR Jun Luo, Chen Chen, Shandong Wu
2024	J	`jnl`	SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis. IEEE Trans. Cybern. Haotian Sun, Shandong Wu, Xinjian Chen, Ming Li, Lingji Kong, Xiaodong Yang, You Meng, Shuangqing Chen, Jian Zheng
2024	—	`conf`	Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples. Deep-Breath@MICCAI Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
2023	—	`conf`	Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. Computer-Aided Diagnosis Saba Dadsetan, Marcio Albers, Allison Weinstock, Volker Musahl, Gene Kitamura, Dooman Arefan, Shandong Wu
2023	A*	`conf`	FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
2023	J	`jnl`	FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
2023	—	`conf`	Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
2023	J	`jnl`	Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
2023	—	`conf`	Medical knowledge-guided deep learning for mammographic breast density classification. Computer-Aided Diagnosis Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2023	A*	`conf`	PGFed: Personalize Each Client's Global Objective for Federated Learning. ICCV Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
2023	J	`jnl`	Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning. Trans. Mach. Learn. Res. Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar
2022	J	`jnl`	A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. Artif. Intell. Medicine Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu
2022	A*	`conf`	Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI Jun Luo, Shandong Wu
2022	—	`ed.`	Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2022	J	`jnl`	Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. CoRR Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar
2022	—	`conf`	Deep curriculum learning in task space for multi-class based mammography diagnosis. Computer-Aided Diagnosis Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2022	J	`jnl`	Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recognit. Saba Dadsetan, Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2022	—	`conf`	Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. ISBI Jun Luo, Shandong Wu
2022	—	`conf`	Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Computer-Aided Diagnosis Degan Hao, Dooman Arefan, Shandong Wu
2022	J	`jnl`	PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
2022	J	`jnl`	SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. Artif. Intell. Medicine Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
2021	J	`jnl`	3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. IEEE J. Biomed. Health Informatics Jian Zheng, Haotian Sun, Shandong Wu, Ke Jiang, Yunsong Peng, Xiaodong Yang, Fan Zhang, Ming Li
2021	J	`jnl`	Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. CoRR Jun Luo, Shandong Wu
2021	J	`jnl`	Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. CoRR Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2021	—	`conf`	Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
2021	J	`jnl`	FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification. CoRR Jun Luo, Shandong Wu
2021	—	`conf`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images. CoRR Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
2021	J	`jnl`	Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2021	—	`conf`	Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Computer-Aided Diagnosis Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
2021	—	`conf`	Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Computer-Aided Diagnosis Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2021	—	`conf`	Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu
2020	J	`jnl`	Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades. J. Digit. Imaging Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo
2020	J	`jnl`	Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study. J. Digit. Imaging Kadie Clancy, Sarah S. Aboutalib, Aly A. Mohamed, Jules H. Sumkin, Shandong Wu
2020	J	`jnl`	Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel
2020	J	`jnl`	Handling imbalanced medical image data: A deep-learning-based one-class classification approach. Artif. Intell. Medicine Long Gao, Lei Zhang, Chang Liu, Shandong Wu
2020	J	`jnl`	Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance. IEEE J. Biomed. Health Informatics Degan Hao, Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu
2020	—	`conf`	Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model. Computer-Aided Diagnosis Emine Doganay, Yahong Luo, Long Gao, Puchen Li, Wendie A. Berg, Shandong Wu
2020	J	`jnl`	Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging Giacomo Nebbia, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu
2020	J	`jnl`	Response score of deep learning for out-of-distribution sample detection of medical images. J. Biomed. Informatics Long Gao, Shandong Wu
2019	—	`conf`	Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI. Computer-Aided Diagnosis Lei Zhang, Ruimei Chai, Aly A. Mohamed, Bingjie Zheng, Zhimeng Luo, Shandong Wu
2019	—	`conf`	Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy. Computer-Aided Diagnosis Kadie Clancy, Lei Zhang, Aly A. Mohamed, Sarah S. Aboutalib, Wendie A. Berg, Shandong Wu
2019	—	`conf`	Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. Computer-Aided Diagnosis Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu
2019	J	`jnl`	Object tracking based on Huber loss function. Vis. Comput. Yong Wang, Shiqiang Hu, Shandong Wu
2019	J	`jnl`	Robust UAV-based tracking using hybrid classifiers. Mach. Vis. Appl. Yong Wang, Wei Shi, Shandong Wu
2018	—	`conf`	Do pre-trained deep learning models improve computer-aided classification of digital mammograms? Computer-Aided Diagnosis Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu
2018	J	`jnl`	Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective. J. Digit. Imaging Aly A. Mohamed, Yahong Luo, Hong Peng, Rachel C. Jankowitz, Shandong Wu
2017	—	`conf`	Robust UAV-Based Tracking Using Hybrid Classifiers. ICCV Workshops Wei Shi, Yong Wang, Shandong Wu
2015	—	`conf`	Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk. Computer-Aided Diagnosis Shandong Wu, Brenda F. Kurland, Wendie A. Berg, Margarita L. Zuley, Rachel C. Jankowitz, Jules H. Sumkin, David Gur
2015	J	`jnl`	Visual tracking based on group sparsity learning. Mach. Vis. Appl. Yong Wang, Shiqiang Hu, Shandong Wu
2013	—	`conf`	Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas. Computer-Aided Diagnosis Shandong Wu, Susan P. Weinstein, Emily F. Conant, Despina Kontos
2013	B	`conf`	Tumor segmentation in brain MRI by sparse optimization. Image Processing Shandong Wu, David J. Rippe, Nicholas G. Avgeropoulos
2012	—	`conf`	Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI. MICCAI (2) Shandong Wu, Susan Weinstein, Despina Kontos
2012	—	`conf`	Fully automated chest wall line segmentation in breast MRI by using context information. Computer-Aided Diagnosis Shandong Wu, Susan P. Weinstein, Emily F. Conant, A. Russell Localio, Mitchell D. Schnall, Despina Kontos
2012	—	`conf`	Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI. Digital Mammography / IWDM Shandong Wu, Susan Weinstein, Brad M. Keller, Emily F. Conant, Despina Kontos
2011	A*	`conf`	Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories. ICCV Shandong Wu, Omar Oreifej, Mubarak Shah
2010	A*	`conf`	Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. CVPR Shandong Wu, Brian E. Moore, Mubarak Shah
2010	J	`jnl`	Motion trajectory reproduction from generalized signature description. Pattern Recognit. Shandong Wu, Youfu Li
2009	J	`jnl`	Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition. Pattern Recognit. Shandong Wu, Youfu Li
2009	A	`conf`	Probabilistic Cluster Signature for Modeling Motion Classes. IROS Shandong Wu, Youfu Li, Jianwei Zhang
2008	A*	`conf`	A hierarchical motion trajectory signature descriptor. ICRA Shandong Wu, Youfu Li, Jianwei Zhang
2008	A	`conf`	Invariant signature description and trajectory reproduction for robot Learning by Demonstration. IROS Shandong Wu, Youfu Li, Jianwei Zhang
2008	J	`jnl`	On Signature Invariants for Effective Motion Trajectory Recognition. Int. J. Robotics Res. Shandong Wu, Youfu Li
2008	—	`conf`	Signature based task description and perception for motion trajectory priented Robot Learning. ROBIO Shandong Wu, Youfu Li, Jianwei Zhang
2007	—	`conf`	A viewpoint invariant signature descriptor for curved shape recognition. ROBIO Shandong Wu, Youfu Li, Jianwei Zhang
2004	—	`conf`	Miam: A Robot Oriented Mobile Intelligent Agent Model. IIP Shandong Wu, Yimin Chen
2004	C	`conf`	Remote Robot Control Using Intelligent Hand-Held Devices. CIT Shandong Wu, Yimin Chen