Texture Analysis for Liver Segmentation and Classification: A Survey. - Saima Rathore; Muhammad Aksam Iftikhar; Mutawarra Hussain; Abdul Jalil (FIT, 2011)

A novel approach for ensemble clustering of colon biopsy images. - Saima Rathore; Muhammad Aksam Iftikhar; Mutawarra Hussain; Abdul Jalil (FIT, 2013)

Brain MRI denoizing and segmentation based on improved adaptive nonlocal means. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Ahmad Ali; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2013)

A Recent Survey on Colon Cancer Detection Techniques. - Saima Rathore; Mutawarra Hussain; Ahmad Ali; Asifullah Khan (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Ensemble classification of colon biopsy images based on information rich hybrid features. - Saima Rathore; Mutawarra Hussain; Muhammad Aksam Iftikhar; Abdul Jalil (Comput. Biol. Medicine, 2014)

An extended non-local means algorithm: Application to brain MRI. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Ahmad Ali; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2014)

Robust brain MRI denoising and segmentation using enhanced non-local means algorithm. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2014)

GECC: Gene Expression Based Ensemble Classification of Colon Samples. - Saima Rathore; Mutawarra Hussain; Asifullah Khan (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. - Spyridon Bakas; Ke Zeng; Aristeidis Sotiras; Saima Rathore; Hamed Akbari; Bilwaj Gaonkar; Martin Rozycki; Sarthak Pati; Christos Davatzikos (Brainles@MICCAI, 2015)

Automated colon cancer detection using hybrid of novel geometric features and some traditional features. - Saima Rathore; Mutawarra Hussain; Asifullah Khan (Comput. Biol. Medicine, 2015)

Novel structural descriptors for automated colon cancer detection and grading. - Saima Rathore; Mutawarra Hussain; Muhammad Aksam Iftikhar; Abdul Jalil (Comput. Methods Programs Biomed., 2015)

Ensemble Sparse Classification of Colon Cancer. - Saima Rathore; Muhammad Aksam Iftikhar; Mehdi Hassan (FIT, 2016)

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. - Ke Zeng; Spyridon Bakas; Aristeidis Sotiras; Hamed Akbari; Martin Rozycki; Saima Rathore; Sarthak Pati; Christos Davatzikos (BrainLes@MICCAI, 2016)

Visual object tracking - classical and contemporary approaches. - Ahmad Ali; Abdul Jalil; Jianwei Niu 002; Xiaoke Zhao; Saima Rathore; Javed Ahmed; Muhammad Aksam Iftikhar (Frontiers Comput. Sci., 2016)

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. - Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunç; Ragini Verma; Michel Bilello; Christos Davatzikos (BrainLes@MICCAI, 2017)

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages. - Saima Rathore; Mohamad Habes; Muhammad Aksam Iftikhar; Amanda Shacklett; Christos Davatzikos (NeuroImage, 2017)

Object Size Measurement through Images: An Application to Measuring Human Foot Size. - Muhammad Ahmad Shahid; Muhammad Aksam Iftikhar; Zaheer Ahmad Gondal; Muhammad Adnan; Saima Rathore (FIT, 2018)

Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques. - Saima Rathore; Spyridon Bakas; Hamed Akbari; Gaurav Shukla; Martin Rozycki; Christos Davatzikos (Computer-Aided Diagnosis, 2018)

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. - Saima Rathore; Hamed Akbari; Jimit Doshi; Gaurav Shukla; Martin Rozycki; Michel Bilello; Robert Lustig; Christos Davatzikos (Image-Guided Procedures, 2018)

Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies. - Lal Hussain; Wajid Aziz; Sharjil Saeed; Saima Rathore; Muhammad Rafique (TrustCom/BigDataSE, 2018)

Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State. - Lal Hussain; Wajid Aziz; Sharjil Saeed; Adnan Idris; Imtiaz Ahmad Awan; Saeed Arif Shah; Malik Sajjad Ahmed Nadeem; Saima Rathore (IEEE Access, 2018)

A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning. - Yousra Asim; Basit Raza; Ahmad Kamran Malik; Saima Rathore; Lal Hussain; Muhammad Aksam Iftikhar (Int. J. Imaging Syst. Technol., 2018)

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. - Sarthak Pati; Ashish Singh; Saima Rathore; Aimilia Gastounioti; Mark Bergman; Phuc Ngo; Sung Min Ha; Dimitrios Bounias; James Minock; Grayson Murphy; Hongming Li; Amit Bhattarai; et al. (BrainLes@MICCAI (2), 2019)

Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging. - Saima Rathore; Hamed Akbari; Spyridon Bakas; Jared Pisapia; Xiao Da; Donald M. O'Rourke; Christos Davatzikos (Computer-Aided Diagnosis, 2019)

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. - Saima Rathore; Ahmad Chaddad; Nadeem Haider Bukhari; Tamim Niazi (RNO-AI@MICCAI, 2019)

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images. - Lal Hussain; Amjad Ali 002; Saima Rathore; Sharjil Saeed; Adnan Idris; Muhammad Usama Usman; Muhammad Aksam Iftikhar; Doug Young Suh (IEEE Access, 2019)

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. - Saima Rathore; Muhammad Aksam Iftikhar; Metin N. Gurcan; Zissimos Mourelatos (CoRR, 2019)

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning. - Saima Rathore; Muhammad Aksam Iftikhar; Zissimos Mourelatos (CoRR, 2019)

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. - Ahmad Chaddad; Saima Rathore; Mingli Zhang; Christian Desrosiers; Tamim Niazi (CoRR, 2019)

Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. - Saima Rathore; Hamed Akbari; Spyridon Bakas; Jared Pisapia; Gaurav Shukla; Jeffrey D. Rudie; Xiao Da; Ramana V. Davuluri; Nadia Dahmane; Donald M. O'Rourke; Christos Davatzikos (Frontiers Comput. Neurosci., 2019)

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. - Spyridon Bakas; Gaurav Shukla; Hamed Akbari; Güray Erus; Aristeidis Sotiras; Saima Rathore; Chiharu Sako; Sung Min Ha; Martin Rozycki; Ashish Singh; Russell T. Shinohara; Michel Bilello; et al. (Image-Guided Procedures, 2020)

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. - Ahmad Chaddad; Michael J. Kucharczyk; Christian Desrosiers; Idowu Paul Okuwobi; Yousef Katib; Mingli Zhang; Saima Rathore; Paul Sargos; Tamim Niazi (IEEE Access, 2020)

Community-Centric Brokerage-Aware Access Control for Online Social Networks. - Yousra Asim; Ahmad Kamran Malik; Basit Raza; Wajeeha Naeem; Saima Rathore (Future Gener. Comput. Syst., 2020)

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. - Siddhesh P. Thakur; Jimit Doshi; Sarthak Pati; Saima Rathore; Chiharu Sako; Michel Bilello; Sung Min Ha; Gaurav Shukla; Adam E. Flanders; Aikaterini Kotrotsou; Mikhail Milchenko; Spencer Liem; et al. (NeuroImage, 2020)

Deep radiomic signature with immune cell markers predicts the survival of glioma patients. - Ahmad Chaddad; Paul Daniel; Mingli Zhang; Saima Rathore; Paul Sargos; Christian Desrosiers; Tamim Niazi (Neurocomputing, 2022)

A Recent Survey of Vision Transformers for Medical Image Segmentation. - Asifullah Khan; Zunaira Rauf; Abdul Rehman Khan; Saima Rathore; Saddam Hussain Khan; Najmus Sahar Shah; Umair Farooq; Hifsa Asif; Aqsa Asif; Umme Zahoora; Rafi Ullah Khalil; Suleman Qamar; et al. (CoRR, 2023)

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. - Saima Rathore; Muhammad Aksam Iftikhar; Ahmad Chaddad; Ashish Singh; Zeeshan Gillani; Ahmed Abdulkadir (Comput. Methods Programs Biomed., 2023)

Cerebral microbleeds: Association with cognitive decline and pathology build-up. - Saima Rathore; Jatin Chaudhary; Boning Tong; Selen Bozkurt (CoRR, 2024)