3 papers
eess.IV2025
Explainable Knowledge Distillation for Efficient Medical Image Classification
Aqib Nazir Mir, Danish Raza Rizvi
This study comprehensively explores knowledge distillation frameworks for COVID-19 and lung cancer classification using chest X-ray (CXR) images. We employ high-capacity teacher mo…
cs.CV2024
Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection
Aqib Nazir Mir, Iqra Nissar, Mumtaz Ahmed +2
Deep learning holds tremendous potential in healthcare for uncovering hidden patterns within extensive clinical datasets, aiding in the diagnosis of various diseases. Parkinson's d…
eess.IV2024
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation
Ovais Iqbal Shah, Danish Raza Rizvi, Aqib Nazir Mir
Medical image segmentation is pivotal in healthcare, enhancing diagnostic accuracy, informing treatment strategies, and tracking disease progression. This process allows clinicians…