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ORCIDJia Wu 0009
Person information
- affiliation: University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Department of Thoracic/Head and Neck Medical Oncology, Houston, TX, USA
- affiliation: Stanford University School of Medicine, Department of Radiation Oncology, Palo Alto, CA, USA
Other persons with the same name
- Jia Wu — disambiguation page
- Jia Wu 0001
![[0000-0002-1371-5801]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1371-5801")
— Macquarie University, Sydney, Australia (and 2 more) - Jia Wu 0002 — Central South University, School of Software, Changsha, China
- Jia Wu 0003 — University of Washington, Department of Electrical Engineering and Computer Science and Engineering, Seattle, WA, USA
- Jia Wu 0004 — University of Salford, School of Computing Science and Engineering, UK (and 1 more)
- Jia Wu 0005 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China (and 1 more)
- Jia Wu 0006 — Central South University, School of Information Science and Engineering, Changsha, China
- Jia Wu 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jia Wu 0008 — University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
- Jia Wu 0010 — Nanjing University of Finance and Economics, School of Information Engineering, China
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2020 – today
- 2025
[e3]Jia Wu, Wenjian Qin, Chao Li, Boklye Kim:
Computational Mathematics Modeling in Cancer Analysis - Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15181, Springer 2025, ISBN 978-3-031-73359-8 [contents]- 2024
- [j12]Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, Jia Wu, Rizwan Qureshi:
Exploring Multiple Instance Learning (MIL): A brief survey. Expert Syst. Appl. 250: 123893 (2024) - [j11]Muhammad Waqas, Muhammad Atif Tahir, Muhammad Danish Author, Somaya Al-Máadeed, Ahmed Bouridane, Jia Wu:
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer. Neural Comput. Appl. 36(12): 6659-6680 (2024) - [j10]Anas Zafar, Danyal Aftab, Rizwan Qureshi, Xinqi Fan, Pingjun Chen, Jia Wu, Hazrat Ali, Shah Nawaz, Sheheryar Khan, Mubarak Shah:
Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Trans. Image Process. 33: 2924-2935 (2024) - [c10]Wentao Li, Amgad Muneer, Muhammad Waqas, Xiaobo Zhou, Jia Wu:
Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma. CMMCA@MICCAI 2024: 52-60 - [c9]Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu:
PD-L1 Expression Prediction Using Scalable Multi Instance Transformer. CMMCA@MICCAI 2024: 61-69 - [c8]Amgad Muneer, Eman Showkatian, Mehmet Altan, Ajay Sheshadri, Jia Wu:
PANDA: Pneumonitis Anomaly Detection Using Attention U-Net. CMMCA@MICCAI 2024: 80-89 - [c7]Maliazurina B. Saad, Qasem Al-Tashi, Lingzhi Hong, Wentao Li, Shenduo Li, John V. Heymach, Yanyan Lou, Natalie I. Vokes, Jianjun Zhang, Jia Wu:
Estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy. CMMCA@MICCAI 2024: 90-98 - 2023
- [j9]Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, Arshad Khan, Aditya Shekhar Nittala, Shawkat Ali, Abbas Shah, Taimoor Muzaffar Gondal, Ferhat Sadak, Zubair Shah, Muhammad Usman Hadi, Sheheryar Khan, Qasem Al-Tashi, Jia Wu, Amine Bermak, Tanvir Alam:
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. IEEE Access 11: 61600-61620 (2023) - [j8]Qasem Al-Tashi, Tareq M. Shami, Said Jadid Abdulkadir, Emelia Akashah Patah Akhir, Ayed Alwadain, Hitham Alhussain, Alawi Alqushaibi, Helmi Md Rais, Amgad Muneer, Maliazurina B. Saad, Jia Wu, Seyedali Mirjalili:
Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection. Comput. Syst. Sci. Eng. 47(2): 1937-1966 (2023) - [j7]Qasem Al-Tashi, Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al-Lazikani, Christopher Gibbons, Natalie I. Vokes, Jianjun Zhang, J. Jack Lee, John V. Heymach, David A. Jaffray, Seyedali Mirjalili, Jia Wu:
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers. Patterns 4(8): 100777 (2023) - [j6]Rizwan Qureshi, Bin Zou, Tanvir Alam, Jia Wu, Victor H. F. Lee, Hong Yan:
Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 238-255 (2023) - [e2]Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li:
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14243, Springer 2023, ISBN 978-3-031-45086-0 [contents] - 2022
- [j5]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [c6]Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi:
Understanding Tumor Micro Environment Using Graph Theory. ACCV (Workshops) 2022: 90-101 - [c5]Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali:
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. AICS 2022: 147-159 - [c4]Rizwan Qureshi, Tanvir Alam, Jia Wu:
Drug response prediction for lung cancer patients using biophysical simulation and machine learning. BIBM 2022: 3867-3869 - [c3]Pingjun Chen, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu:
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. CMMCA@MICCAI 2022: 1-10 - [c2]Rukhmini Bandyopadhyay, Pingjun Chen, Siba El Hussein, Frank R. Rojas, Kingsley Ebare, Ignacio I. Wistuba, Luisa M. Solis Soto, L. Jeffrey Medeiros, Jianjun Zhang, Joseph D. Khoury, Jia Wu:
Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma. CMMCA@MICCAI 2022: 11-20 - [e1]Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang:
Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13574, Springer 2022, ISBN 978-3-031-17265-6 [contents] - [i3]Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali:
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. CoRR abs/2212.01772 (2022) - 2021
- [j4]Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David A. Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li:
Radiological tumour classification across imaging modality and histology. Nat. Mach. Intell. 3(9): 787-798 (2021) - [j3]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j2]Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu:
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology. Softw. Impacts 10: 100156 (2021) - [c1]Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu:
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms. MICCAI (8) 2021: 164-174 - [i2]Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu:
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms. CoRR abs/2106.16174 (2021) - [i1]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021)
2010 – 2019
- 2018
- [j1]Lei Liu, Kai Li, Wenjian Qin, Tiexiang Wen, Ling Li, Jia Wu, Jia Gu:
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images. Medical Biol. Eng. Comput. 56(2): 183-199 (2018)
Coauthor Index
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