11 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
A Controlled Evaluation of Quantum Correlation Refinement for Few-Shot Semantic Segmentation: Resource Cost and IBM Quantum Hardware Validation
Hina Shakir, Muhammad Irfan Memon, Asia Samreen +4
PQCs are increasingly proposed as trainable components in classical ML pipelines, but rarely characterized alongside a controlled measurement of task-level benefit. We report such…
Benchmarking Vanilla GAN, DCGAN, and WGAN Architectures for MRI Reconstruction: A Quantitative Analysis
Humaira Mehwish, Hina Shakir, Muneeba Rashid +2
Magnetic Resonance Imaging (MRI) is a crucial imaging modality for viewing internal body structures. This research work analyses the performance of popular GAN models for accurate…
Radiomic feature selection for lung cancer classifiers
Hina Shakir, Haroon Rasheed, Tariq Mairaj Rasool Khan
Machine learning methods with quantitative imaging features integration have recently gained a lot of attention for lung nodule classification. However, there is a dearth of studie…