On Two Multigrid Algorithms for Modeling Variational Multiphase Image Segmentation. - Noor Badshah; Ke Chen 002 (IEEE Trans. Image Process., 2009)

A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity. - Haider Ali 004; Noor Badshah; Ke Chen 002; Gulzar Ali Khan (Pattern Recognit., 2016)

Active contours textural and inhomogeneous object extraction. - Lutful Mabood; Haider Ali 004; Noor Badshah; Ke Chen 002; Gulzar Ali Khan (Pattern Recognit., 2016)

Multiphase segmentation based on new signed pressure force functions and one level set function. - Haider Ali 004; Noor Badshah; Ke Chen 002; Gulzar Ali Khan; Nosheen Zikria (Turkish J. Electr. Eng. Comput. Sci., 2017)

On segmentation of images having multi-regions using Gaussian type radial basis kernel in fuzzy sets framework. - Noor Badshah; Ali Ahmad (Appl. Soft Comput., 2018)

Model for smoothing and segmentation of texture images using L 0 norm. - Noor Badshah; Hassan Shah (IET Image Process., 2018)

Image Segmentation for Intensity Inhomogeneity in Presence of High Noise. - Haider Ali 004; Lavdie Rada; Noor Badshah (IEEE Trans. Image Process., 2018)

A new selective segmentation model for texture images and applications to medical images. - Hassan Shah; Noor Badshah; Fahim Ullah; Asmat Ullah; Matiullah (Biomed. Signal Process. Control., 2019)

Mathematical approaches for optimization of dengue fever dynamics. - Didar Murad; Noor Badshah; Muhammad Ali Syed (Int. J. Model. Simul. Sci. Comput., 2019)

New Local Region Based Model for the Segmentation of Medical Images. - Noor Badshah; Hadia Atta; Syed Inayat Ali Shah; Sobia Attaullah; Nasru Minallah; Mati Ullah (IEEE Access, 2020)

On local active contour model for automatic detection of tumor in MRI and mammogram images. - Noor Badshah; Hena Rabbani; Hadia Atta (Biomed. Signal Process. Control., 2020)

A fuzzy variational model for segmentation of images having intensity inhomogeneity and slight texture. - Ali Ahmad; Noor Badshah; Haider Ali 004 (Soft Comput., 2020)

On Two Algorithms for Multi-Modality Image Registration Based on Gaussian Curvature and Application to Medical Images. - Nasra Begum; Noor Badshah; Mazlinda Ibrahim; Muniba Ashfaq; Nasru Minallah; Hadia Atta (IEEE Access, 2021)

Sobolev gradients for segmentation of vector-valued texture images. - Fahim Ullah; Noor Badshah; Hassan Shah; Asmat Ullah (Appl. Math. Comput., 2021)

A Selective Segmentation Model Using Dual-Level Set Functions and Local Spatial Distance. - Afzal Rahman; Haider Ali 004; Noor Badshah; Lavdie Rada; Ayaz Ali Khan; Hameed Hussain; Muhammad Zakarya; Aftab Ahmed Khan; Izaz Ur Rahman; Mushtaq Raza; Muhammad Haleem (IEEE Access, 2022)

ResBCU-Net: Deep learning approach for segmentation of skin images. - Noor Badshah; Asif Ahmad (Biomed. Signal Process. Control., 2022)

A new fractional-order variational approach for joint de-hazing and segmentation of images. - Noor Badshah; Muhammad Arif; Tufail Ahmad Khan; Asmat Ullah; Hena Rabbani; Hadia Atta; Nasra Begum (J. Intell. Fuzzy Syst., 2023)

Feature extraction from MR images for detection of brain and breast tumors through mathematical modeling. - Noor Badshah; Hena Rabbani; Hadia Atta; Muhammad Abeer Irfan; Ali Ahmad (Biomed. Signal Process. Control., 2023)

New improved model for joint segmentation and registration of multi-modality images: application to medical images. - Noor Badshah; Nasra Begum; Lavdie Rada; Muniba Ashfaq; Hadia Atta (J. Intell. Fuzzy Syst., 2024)

Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths. - Muhammad Shahkar Khan; Haider Ali; Laura Villazan Garcia; Noor Badshah; Siegfried Trattnig; Florian Schwarzhans; Ramona Woitek; Olgica Zaric (CoRR, 2025)