Binod Bhattarai

This study examines enhancing medical image classification despite labeling errors.

Research evaluates self-supervised techniques to improve robustness against noisy labels in medical imaging.

A new method enhances classification despite noisy labels and imbalanced datasets.

A new approach improves understanding of Alzheimer's disease progression.

A new method improves AI performance using public datasets while protecting patient privacy.

Test-time augmentation enhances image analysis for gastrointestinal diseases.

Open clusters reveal insights on star formation and elemental composition.

A rich dataset to improve safety and efficiency in endovascular procedures.

New methods improve accuracy in diagnosing gastrointestinal diseases using technology.

Learn how text prompts are changing image editing technology.