1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Radiomic Feature Selection Using Gradient Loss of Deep Neural Network for Lung Cancer Stage Detection
Hina Shakir, Mohammad Mohatram, Javeed Hussain +2
Radiomics enables extraction of quantitative imaging biomarkers from medical images and has become an important tool for computer-aided cancer diagnosis. However, radiomics dataset…
eess.IV2026★ 1 cited
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…
cs.LG2024
Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
Majid Ali, Hina Shakir, Asia Samreen +1
Accurate diagnosis of Parkinson disease, especially in its early stages, can be a challenging task. The application of machine learning techniques helps improve the diagnostic accu…