Ardhendu Sekhar
Orcid: 0000-0002-5540-3208
According to our database1,
Ardhendu Sekhar
authored at least 11 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Survival Modeling from Whole Slide Images via Patch-Level Graph Clustering and Mixture Density Experts.
CoRR, July, 2025
Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models.
CoRR, June, 2025
Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation.
CoRR, January, 2025
HER2 Status Prediction in Breast Cancer: A Weak Supervision and Contrastive Learning Approach on H&E Stains.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Scalable Whole Slide Image Representation Using K-Means Clustering and Fisher Vector Aggregation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images.
CoRR, 2024
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.
CoRR, 2024
IFSENet: Harnessing Sparse Iterations for Interactive Few-Shot Segmentation Excellence.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
HER2 and Fish Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.
Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024
2022
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System.
IEEE J. Biomed. Health Informatics, 2022