default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShandong Wu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j20]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): 2345-2357 (2024)- [c37]Degan Hao, Qiong Li, Yudong Zhang, Shandong Wu:
Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction. ISBI 2024: 1-5 - [c36]Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu:
Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. ISBI 2024: 1-5 - [e2]Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14313, Springer 2024, ISBN 978-3-031-47075-2 [contents] - [i14]Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu:
Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR abs/2402.08768 (2024) - [i13]Jun Luo, Chen Chen, Shandong Wu:
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. CoRR abs/2410.10114 (2024) - [i12]Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. CoRR abs/2411.00837 (2024) - 2023
- [j19]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) - [c35]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. ICCV 2023: 3923-3933 - [c34]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV 2023: 4965-4975 - [c33]Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI 2023: 1-5 - [c32]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. Computer-Aided Diagnosis 2023 - [c31]Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu:
Medical knowledge-guided deep learning for mammographic breast density classification. Computer-Aided Diagnosis 2023 - [i11]Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR abs/2302.01243 (2023) - [i10]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR abs/2308.09160 (2023) - 2022
- [j18]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: 102366 (2022) - [j17]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: 102424 (2022) - [j16]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: 108919 (2022) - [c30]Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI 2022: 2166-2173 - [c29]Jun Luo, Shandong Wu:
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. ISBI 2022: 1-5 - [c28]Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Deep curriculum learning in task space for multi-class based mammography diagnosis. Computer-Aided Diagnosis 2022 - [c27]Degan Hao, Dooman Arefan, Shandong Wu:
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Computer-Aided Diagnosis 2022 - [e1]Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13540, Springer 2022, ISBN 978-3-031-17720-0 [contents] - [i9]Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar:
Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. CoRR abs/2211.08559 (2022) - [i8]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR abs/2212.01448 (2022) - 2021
- [j15]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): 764-773 (2021) - [c26]Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu:
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Computer-Aided Diagnosis 2021 - [c25]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. Computer-Aided Diagnosis 2021 - [c24]Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang:
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) 2021: 508-518 - [c23]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: 555-564 - [c22]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: 634-643 - [i7]Jun Luo, Shandong Wu:
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification. CoRR abs/2110.08378 (2021) - [i6]Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. CoRR abs/2110.08394 (2021) - [i5]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 abs/2110.10381 (2021) - [i4]Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR abs/2110.10383 (2021) - [i3]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 abs/2110.11320 (2021) - [i2]Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu:
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR abs/2111.10610 (2021) - [i1]Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu:
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR abs/2111.10620 (2021) - 2020
- [j14]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: 101935 (2020) - [j13]Long Gao, Shandong Wu:
Response score of deep learning for out-of-distribution sample detection of medical images. J. Biomed. Informatics 107: 103442 (2020) - [j12]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): 826-837 (2020) - [j11]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): 1257-1265 (2020) - [j10]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): 1376-1386 (2020) - [j9]Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel:
Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 24(4): 929-930 (2020) - [j8]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): 2701-2710 (2020) - [c21]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. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j7]Yong Wang, Wei Shi, Shandong Wu:
Robust UAV-based tracking using hybrid classifiers. Mach. Vis. Appl. 30(1): 125-137 (2019) - [j6]Yong Wang, Shiqiang Hu, Shandong Wu:
Object tracking based on Huber loss function. Vis. Comput. 35(11): 1641-1654 (2019) - [c20]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. Computer-Aided Diagnosis 2019: 109502P - [c19]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. Computer-Aided Diagnosis 2019: 109502R - [c18]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. Computer-Aided Diagnosis 2019: 1095005 - 2018
- [j5]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): 387-392 (2018) - [c17]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? Computer-Aided Diagnosis 2018: 1057523 - 2017
- [c16]Wei Shi, Yong Wang, Shandong Wu:
Robust UAV-Based Tracking Using Hybrid Classifiers. ICCV Workshops 2017: 2129-2137 - 2015
- [j4]Yong Wang, Shiqiang Hu, Shandong Wu:
Visual tracking based on group sparsity learning. Mach. Vis. Appl. 26(1): 127-139 (2015) - [c15]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. Computer-Aided Diagnosis 2015: 94140M - 2013
- [c14]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. Computer-Aided Diagnosis 2013: 86701C - [c13]Shandong Wu, David J. Rippe, Nicholas G. Avgeropoulos:
Tumor segmentation in brain MRI by sparse optimization. Image Processing 2013: 86691H - 2012
- [c12]Shandong Wu, Susan Weinstein, Brad M. Keller, Emily F. Conant, Despina Kontos:
Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI. Digital Mammography / IWDM 2012: 244-251 - [c11]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. Computer-Aided Diagnosis 2012: 831507 - [c10]Shandong Wu, Susan Weinstein, Despina Kontos:
Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI. MICCAI (2) 2012: 437-445 - 2011
- [c9]Shandong Wu, Omar Oreifej, Mubarak Shah:
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories. ICCV 2011: 1419-1426 - 2010
- [j3]Shandong Wu, Youfu Li:
Motion trajectory reproduction from generalized signature description. Pattern Recognit. 43(1): 204-221 (2010) - [c8]Shandong Wu, Brian E. Moore, Mubarak Shah:
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. CVPR 2010: 2054-2060
2000 – 2009
- 2009
- [j2]Shandong Wu, Youfu Li:
Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition. Pattern Recognit. 42(1): 194-214 (2009) - [c7]Shandong Wu, Youfu Li, Jianwei Zhang:
Probabilistic Cluster Signature for Modeling Motion Classes. IROS 2009: 5731-5736 - 2008
- [j1]Shandong Wu, Youfu Li:
On Signature Invariants for Effective Motion Trajectory Recognition. Int. J. Robotics Res. 27(8): 895-917 (2008) - [c6]Shandong Wu, Youfu Li, Jianwei Zhang:
A hierarchical motion trajectory signature descriptor. ICRA 2008: 3070-3075 - [c5]Shandong Wu, Youfu Li, Jianwei Zhang:
Invariant signature description and trajectory reproduction for robot Learning by Demonstration. IROS 2008: 4060-4065 - [c4]Shandong Wu, Youfu Li, Jianwei Zhang:
Signature based task description and perception for motion trajectory priented Robot Learning. ROBIO 2008: 1123-1128 - 2007
- [c3]Shandong Wu, Youfu Li, Jianwei Zhang:
A viewpoint invariant signature descriptor for curved shape recognition. ROBIO 2007: 1121-1126 - 2004
- [c2]Shandong Wu, Yimin Chen:
Remote Robot Control Using Intelligent Hand-Held Devices. CIT 2004: 587-592 - [c1]Shandong Wu, Yimin Chen:
Miam: A Robot Oriented Mobile Intelligent Agent Model. Intelligent Information Processing 2004: 51-54
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 21:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
