I work on machine learning systems for medical imaging that account for real-world
deployment constraints, building models that generalize across data modalities,
clinical settings, and resource limitations.
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biomedical intelligence
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SAM-Raman-Diagnostics
SAM-Raman-Diagnostics PublicForked from Tadesse-Lab/SAM-Raman-Diagnostics
Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics
Python 1
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Cancer-Net-PCa-MultiSeg
Cancer-Net-PCa-MultiSeg PublicMultimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
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SpectroMind
SpectroMind PublicA framework for preprocessing and training machine learning models on spectral data, designed for seamless integration and advanced analytics.
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