Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025
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Updated
Mar 23, 2026 - Python
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025
Decoding the Archetypes and Ecotypes of Triple-Negative Breast Cancer in Response to Chemotherapy
MSc Thesis: Transcriptomics-based investigation of TNBC cell lines
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Automated GATK4 variant discovery pipeline for Triple-Negative Breast Cancer (TNBC) genomic analysis. Identifies high-impact clinical mutations using BWA-MEM, HaplotypeCaller, and Funcotator.
Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer
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