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SD-Abilesh/README.md

Abilesh SD

I work on computer vision and medical imaging, with a particular interest in self-supervised representation learning, frequency-domain supervision, generative image restoration and interpretable deep learning. I am currently pursuing a Master of Artificial Intelligence at Monash University in Melbourne.

Selected projects

Project Focus
Frequency-Aware MAE + ViT for Leukemia Classification Self-supervised ViT pretraining with pixel and FFT-domain reconstruction losses, followed by supervised classification and Attention Rollout.
Dual-Stage VAE-GAN for MRI Denoising MRI restoration across six noise families using coarse reconstruction, wavelet-guided adversarial refinement and ablation studies.
Hybrid CNN-QNN for Chest X-ray Classification ResNet18 features combined with a four-qubit variational quantum classifier, with hybrid and classical comparisons.
EfficientNetB7-U-Net Cherry Segmentation Orchard-scene segmentation with morphological post-processing; associated work received the Best Paper Award in the Metaverse track at ICAMAC 2025.

Technical focus

Python · PyTorch · Computer Vision · Medical Image Analysis · Vision Transformers · Self-Supervised Learning · Generative Models · Image Segmentation · Explainable AI

Publication

Reverse Silhouette Cherry Segmentation Using EfficientNetB7-U-Net with Morphological Post-Processing
IEEE Xplore · DOI

LinkedIn

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  1. cherry-segmentation-efficientnetb7-unet cherry-segmentation-efficientnetb7-unet Public

    Original PyTorch cherry-segmentation ablations with stored outputs, plus a documented EfficientNetB7-U-Net paper reconstruction.

    Jupyter Notebook

  2. hybrid-cnn-qnn-pneumonia hybrid-cnn-qnn-pneumonia Public

    Hybrid ResNet18-QNN experiments with Qiskit for chest X-ray pneumonia classification, including ablations and classical baselines.

    Jupyter Notebook

  3. leukemia-fa-mae-vit leukemia-fa-mae-vit Public

    Frequency-aware masked autoencoder and Vision Transformer for leukemia image classification.

    Jupyter Notebook

  4. mri-dualstage-vaegan-dwt mri-dualstage-vaegan-dwt Public

    Dual-stage VAE-GAN with wavelet-domain PatchGAN experiments for MRI denoising across multiple synthetic noise conditions.

    Jupyter Notebook