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
PD-L1 Expression Prediction Using Scalable Multi Instance Transformer.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
Estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
PANDA: Pneumonitis Anomaly Detection Using Attention U-Net.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers.
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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.
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Comput. Syst. Sci. Eng., 2023
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review.
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IEEE Access, 2023
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma.
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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.
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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
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.
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Nat. Mach. Intell., 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
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.
Medical Biol. Eng. Comput., 2018