Jia Wu

Orcid: 0000-0001-8392-8338

Affiliations:
  • University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Department of Thoracic/Head and Neck Medical Oncology, Houston, TX, USA
  • Stanford University School of Medicine, Department of Radiation Oncology, Palo Alto, CA, USA


According to our database1, Jia Wu authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer.
Neural Comput. Appl., April, 2024

Single Stage Adaptive Multi-Attention Network for Image Restoration.
IEEE Trans. Image Process., 2024

Exploring Multiple Instance Learning (MIL): A brief survey.
Expert Syst. Appl., 2024

2023
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers.
Patterns, August, 2023

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., 2023

Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.
Comput. Syst. Sci. Eng., 2023

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review.
IEEE Access, 2023

2022
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2022

Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Drug response prediction for lung cancer patients using biophysical simulation and machine learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Brain Tumor Synthetic Data Generation with Adaptive StyleGANs.
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

Understanding Tumor Micro Environment Using Graph Theory.
Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

2021
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology.
Softw. Impacts, 2021

Radiological tumour classification across imaging modality and histology.
Nat. Mach. Intell., 2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR, 2021

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2018
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.
Medical Biol. Eng. Comput., 2018


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