Jia Wu

39 papers Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2026 — ed.
Computational Mathematics Modeling in Cancer Analysis - 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
CMMCA@MICCAI
Chao Li, Wenjian Qin, Jia Wu, Nazar Zaki
2026 J jnl
From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research.
Artif. Intell. Rev.
Amgad Muneer, Muhammad Waqas, Maliazurina B. Saad, Eman Showkatian, Rukhmini Bandyopadhyay, Hui Xu, Wentao Li, Joe Y. Chang, Zhongxing Liao, Cara Haymaker, Luisa Solis-Soto, Carol C. Wu, Natalie I. Vokes, Xiuning Le, Lauren A. Byers, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Jia Wu
2026 J jnl
Projection Guided Personalized Federated Learning for Low Dose CT Denoising.
CoRR
Anas Zafar, Muhammad Waqas, Amgad Muneer, Rukhmini Bandyopadhyay, Jia Wu
2026 J jnl
Task-Agnostic Continual Learning for Chest Radiograph Classification.
CoRR
Muthu Subash Kavitha, Anas Zafar, Amgad Muneer, Jia Wu
2025 — conf
Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis.
MIUA (2)
Shudipta Roy, Xinqi Fan, Nashid Alam, Xueli Chen, Rizwan Qureshi, Jia Wu, Moi Hoon Yap
2025 — ed.
Computational Mathematics Modeling in Cancer Analysis - Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
CMMCA@MICCAI
Jia Wu, Wenjian Qin, Chao Li, Boklye Kim
2025 J jnl
Foundation Models in Biomedical Imaging: Turning Hype into Reality.
CoRR
Amgad Muneer, Kai Zhang, Ibraheem Hamdi, Rizwan Qureshi, Muhammad Waqas, Shereen Fouad, Hazrat Ali, Syed Muhammad Anwar, Jia Wu
2025 J jnl
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research.
CoRR
Amgad Muneer, Muhammad Waqas, Maliazurina B. Saad, Eman Showkatian, Rukhmini Bandyopadhyay, Hui Xu, Wentao Li, Joe Y. Chang, Zhongxing Liao, Cara Haymaker, Luisa Solis-Soto, Carol C. Wu, Natalie I. Vokes, Xiuning Le, Lauren A. Byers, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Jia Wu
2025 — conf
MTKD-LRS: Semi Supervised Knee Cartilage Segmentation using Eigen Low Rank Subspace Assisted Mean-Teacher Framework.
ISBI
Ammar Khawer, Sheheryar Khan, Rizwan Qureshi, Muhammad Awais, Weitian Chen, Jia Wu
2025 J jnl
The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology.
CoRR
Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian, Amgad Muneer, Anas Zafar, Frank Rojas Alvarez, Maricel Corredor Marin, Wentao Li, David A. Jaffray, Cara Haymaker, John V. Heymach, Natalie I. Vokes, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu
2025 J jnl
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact.
CoRR
Rizwan Qureshi, Ranjan Sapkota, Abbas Shah, Amgad Muneer, Anas Zafar, Ashmal Vayani, Maged Shoman, Abdelrahman B. M. Eldaly, Kai Zhang, Ferhat Sadak, Shaina Raza, Xinqi Fan, Ravid Shwartz-Ziv, Hong Yan, Vinjia Jain, Aman Chadha, Manoj Karkee, Jia Wu, Seyedali Mirjalili
2025 J jnl
Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future.
CoRR
Shaina Raza, Rizwan Qureshi, Anam Zahid, Joseph Fioresi, Ferhat Sadak, Muhammad Saeed, Ranjan Sapkota, Aditya Jain, Anas Zafar, Muneeb Ul Hassan, Aizan Zafar, Hasan Maqbool, Ashmal Vayani, Jia Wu, Maged Shoman
2024 — conf
Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma.
CMMCA@MICCAI
Wentao Li, Amgad Muneer, Muhammad Waqas, Xiaobo Zhou, Jia Wu
2024 — conf
Estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy.
CMMCA@MICCAI
Maliazurina B. Saad, Qasem Al-Tashi, Lingzhi Hong, Wentao Li, Shenduo Li, John V. Heymach, Yanyan Lou, Natalie I. Vokes, Jianjun Zhang, Jia Wu
2024 J jnl
Exploring Multiple Instance Learning (MIL): A brief survey.
Expert Syst. Appl.
Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, Jia Wu, Rizwan Qureshi
2024 — conf
PANDA: Pneumonitis Anomaly Detection Using Attention U-Net.
CMMCA@MICCAI
Amgad Muneer, Eman Showkatian, Mehmet Altan, Ajay Sheshadri, Jia Wu
2024 — conf
PD-L1 Expression Prediction Using Scalable Multi Instance Transformer.
CMMCA@MICCAI
Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu
2024 J jnl
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer.
Neural Comput. Appl.
Muhammad Waqas, Muhammad Atif Tahir, Muhammad Danish Author, Somaya Al-Máadeed, Ahmed Bouridane, Jia Wu
2024 J jnl
Single Stage Adaptive Multi-Attention Network for Image Restoration.
IEEE Trans. Image Process.
Anas Zafar, Danyal Aftab, Rizwan Qureshi, Xinqi Fan, Pingjun Chen, Jia Wu, Hazrat Ali, Shah Nawaz, Sheheryar Khan, Mubarak Shah
2023 J jnl
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review.
IEEE Access
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
2023 — ed.
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
CMMCA@MICCAI
Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li
2023 J jnl
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.
Rizwan Qureshi, Bin Zou, Tanvir Alam, Jia Wu, Victor H. F. Lee, Hong Yan
2023 J jnl
Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.
Comput. Syst. Sci. Eng.
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
2023 J jnl
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers.
Patterns
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
2022 J jnl
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell.
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
2022 — conf
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs.
AICS
Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali
2022 J jnl
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs.
CoRR
Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali
2022 — conf
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma.
CMMCA@MICCAI
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
2022 — ed.
Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
CMMCA@MICCAI
Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang
2022 — conf
Drug response prediction for lung cancer patients using biophysical simulation and machine learning.
BIBM
Rizwan Qureshi, Tanvir Alam, Jia Wu
2022 — conf
Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma.
CMMCA@MICCAI
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
2022 — conf
Understanding Tumor Micro Environment Using Graph Theory.
ACCV (Workshops)
Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi
2021 J jnl
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR
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
2021 J jnl
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell.
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
2021 J jnl
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology.
Softw. Impacts
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu
2021 — conf
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms.
MICCAI (8)
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu
2021 J jnl
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms.
CoRR
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu
2021 J jnl
Radiological tumour classification across imaging modality and histology.
Nat. Mach. Intell.
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
2018 J jnl
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.
Medical Biol. Eng. Comput.
Lei Liu, Kai Li, Wenjian Qin, Tiexiang Wen, Ling Li, Jia Wu, Jia Gu