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Latchan-Ch/README.md

Hi, I'm Latchan Chhetri

About Me

Undergraduate Researcher & Team Lead

  • Working on:
  • Medical Imaging
  • Computer Vision
  • Remote Sensing
  • OCR Systems
  • Vision Language Models (VLMs)

Publications & Research Focus

  • Research implementation projects in:

    • Medical Imaging
    • XAI & SSL
    • Vision Transformers
    • Remote Sensing AI
    • OCR Systems
    • Vision Language Models

  • Focused on reproducible AI research systems

  • Building efficient deep learning architectures

  • Goal: Direct PhD in AI / Computer Vision

Pinned Loading

  1. DDV-GNet-Space DDV-GNet-Space Public

    Official PyTorch implementation of DDV-GNet: A real-time (853 FPS) gated convolutional neural network for real-time aerospace defect detection.

    Jupyter Notebook 1

  2. Robust-Swin-Brain-Tumor Robust-Swin-Brain-Tumor Public

    Official implementation of "Robustness of Attention-Enhanced Swin Transformers Against Data Leakage in Brain Tumor Classification". SOTA accuracy (96.82%) on strict patient-level split.

    Jupyter Notebook

  3. DDV-Mamba_for_Efficient_Remote_Sensing DDV-Mamba_for_Efficient_Remote_Sensing Public

    DDV-Mamba: A highly efficient hierarchical vision model utilizing 2D Deep Delta Learning and SSM-Gated Aggregation for real-time satellite land-cover classification.

    Jupyter Notebook 1

  4. SafeMed-SSL SafeMed-SSL Public

    Official implementation of "Uncertainty-Guided Semi-Supervised Learning for Safe Medical Image Classification".

    Jupyter Notebook 1

  5. Optimizing-Deep-Learning-for-Brain-Tumor-Classification Optimizing-Deep-Learning-for-Brain-Tumor-Classification Public

    Official implementation of the paper Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies. Includes patient-level data …

    Jupyter Notebook 1

  6. Interpretable-Solar-Defect-Detection Interpretable-Solar-Defect-Detection Public

    Official code implementation for "Interpretable Solar Panel Defect Detection" . Uses Swin Transformers and Fuzzy Logic for Explainable AI (XAI).

    Jupyter Notebook