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rhouhou/README.md

Hi, I'm Rola Houhou

Postdoctoral researcher working at the intersection of biophotonics, biomedical image analysis, and machine learning. PhD in Photonic Data Science (Friedrich-Schiller University Jena / Leibniz-IPHT), with a background in mathematics and statistics.

Research focus

  • Coherent Raman imaging - phase retrieval and reconstruction for CARS/BCARS
  • Multimodal imaging - combining CARS, SHG, and TPEF information
  • Spectral & spatial unmixing - separating overlapping molecular contributions
  • Reliability & generalization - whether imaging models can be trusted on data unlike what they were trained on

CARS/BCARS research software

Simulate → Reconstruct → Validate

Project Role
prCARS Phase retrieval, preprocessing, and Raman-like signal reconstruction
CARSBench Simulation and benchmarking for reconstruction under domain shift
CARSGuard Validation: physical realism, Raman consistency, artifact risk

Other work

Project Description
vae-reconstruction-scarcity Does VAE reconstruction improve X-ray classification under sample scarcity?
MedicalImageClassifier Deep learning pipeline for medical image classification

Elsewhere

Pinned Loading

  1. CARSBench CARSBench Public

    BCARS/CARS simulation and domain-generalization benchmark for Raman-retrieval models.

    Python

  2. CARSGuard CARSGuard Public

    Validation framework for physical realism, Raman consistency, and artifact detection in CARS/BCARS spectra.

    Python

  3. MedicalImageClassifier MedicalImageClassifier Public

    Explainable chest X-ray pneumonia classifier with PyTorch, ResNet/timm, Grad-CAM, PR-AUC, ONNX export, Gradio, CI, and model card.

    Python

  4. prCARS prCARS Public

    Phase retrieval, background correction, and Raman-like signal reconstruction for CARS/BCARS spectra.

    Python

  5. vae-reconstruction-scarcity vae-reconstruction-scarcity Public

    Reproducible framework for evaluating VAE and autoencoder reconstruction strategies for X-ray classification under sample scarcity.

    Python