Saima Rathore

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 30

Top Topics

Machine Learning

Cancer Detection

Ensemble Classification

Magnetic Resonance Imaging

Top Venues

Int. J. Imaging Syst. Technol.

Medical Imaging: Image-Guided Procedures

Publications

Asifullah Khan, Zunaira Rauf, Abdul Rehman Khan, Saima Rathore, Saddam Hussain Khan, Sahar Shah, Umair Farooq, Hifsa Asif, Aqsa Asif, Umme Zahoora, Rafi Ullah Khalil, Suleman Qamar, Umme Hani Asif, Faiza Babar Khan, Abdul Majid, Jeonghwan Gwak
A Recent Survey of Vision Transformers for Medical Image Segmentation. CoRR (2023)
Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, Ashish Singh, Zeeshan Gillani, Ahmed Abdulkadir
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. Comput. Methods Programs Biomed. 242 (2023)
Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. CoRR (2022)
Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. Neurocomputing 469 (2022)
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, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. NeuroImage 220 (2020)
Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi
Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. IEEE Access 8 (2020)
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, Christos Davatzikos
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Medical Imaging: Image-Guided Procedures (2020)
Yousra Asim, Ahmad Kamran Malik, Basit Raza, Wajeeha Naeem, Saima Rathore
Community-Centric Brokerage-Aware Access Control for Online Social Networks. Future Gener. Comput. Syst. 109 (2020)
Lal Hussain, Amjad Ali, Saima Rathore, Sharjil Saeed, Adnan Idris, Muhammad Usama Usman, Muhammad Aksam Iftikhar, Doug Young Suh
Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images. IEEE Access 7 (2019)
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
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. Frontiers Comput. Neurosci. 13 (2019)
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, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) (2019)
Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. CoRR (2019)
Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, Tamim Niazi
Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. RNO-AI@MICCAI (2019)
Saima Rathore, Hamed Akbari, Spyridon Bakas, Jared Pisapia, Xiao Da, Donald M. O'Rourke, Christos Davatzikos
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis (2019)
Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. CoRR (2019)
Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos
Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning. CoRR (2019)
Lal Hussain, Wajid Aziz, Sharjil Saeed, Saima Rathore, Muhammad Rafique
Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies. TrustCom/BigDataSE (2018)
Saima Rathore, Spyridon Bakas, Hamed Akbari, Gaurav Shukla, Martin Rozycki, Christos Davatzikos
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. Medical Imaging: Computer-Aided Diagnosis (2018)
Lal Hussain, Wajid Aziz, Sharjil Saeed, Adnan Idris, Imtiaz Ahmad Awan, Saeed Arif Shah, Malik Sajjad Ahmed Nadeem, Saima Rathore
Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State. IEEE Access 6 (2018)
Muhammad Ahmad Shahid, Muhammad Aksam Iftikhar, Zaheer Ahmad Gondal, Muhammad Adnan, Saima Rathore
Object Size Measurement through Images: An Application to Measuring Human Foot Size. FIT (2018)
Saima Rathore, Hamed Akbari, Jimit Doshi, Gaurav Shukla, Martin Rozycki, Michel Bilello, Robert Lustig, Christos Davatzikos
Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. Medical Imaging: Image-Guided Procedures (2018)
Yousra Asim, Basit Raza, Ahmad Kamran Malik, Saima Rathore, Lal Hussain, Muhammad Aksam Iftikhar
A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning. Int. J. Imaging Syst. Technol. 28 (2) (2018)
Saima Rathore, Mohamad Habes, Muhammad Aksam Iftikhar, Amanda Shacklett, Christos Davatzikos
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages. NeuroImage 155 (2017)
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. BrainLes@MICCAI (2017)
Saima Rathore, Muhammad Aksam Iftikhar, Mehdi Hassan
Ensemble Sparse Classification of Colon Cancer. FIT (2016)
Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI (2016)
Ahmad Ali, Abdul Jalil, Jianwei Niu, Xiaoke Zhao, Saima Rathore, Javed Ahmed, Muhammad Aksam Iftikhar
Visual object tracking - classical and contemporary approaches. Frontiers Comput. Sci. 10 (1) (2016)
Saima Rathore, Mutawarra Hussain, Asifullah Khan
Automated colon cancer detection using hybrid of novel geometric features and some traditional features. Comput. Biol. Medicine 65 (2015)
Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI (2015)
Saima Rathore, Mutawarra Hussain, Muhammad Aksam Iftikhar, Abdul Jalil
Novel structural descriptors for automated colon cancer detection and grading. Comput. Methods Programs Biomed. 121 (2) (2015)
Saima Rathore, Mutawarra Hussain, Muhammad Aksam Iftikhar, Abdul Jalil
Ensemble classification of colon biopsy images based on information rich hybrid features. Comput. Biol. Medicine 47 (2014)
Saima Rathore, Mutawarra Hussain, Asifullah Khan
GECC: Gene Expression Based Ensemble Classification of Colon Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (6) (2014)
Muhammad Aksam Iftikhar, Abdul Jalil, Saima Rathore, Mutawarra Hussain
Robust brain MRI denoising and segmentation using enhanced non-local means algorithm. Int. J. Imaging Syst. Technol. 24 (1) (2014)
Muhammad Aksam Iftikhar, Abdul Jalil, Saima Rathore, Ahmad Ali, Mutawarra Hussain
An extended non-local means algorithm: Application to brain MRI. Int. J. Imaging Syst. Technol. 24 (4) (2014)
Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil
A novel approach for ensemble clustering of colon biopsy images. FIT (2013)
Saima Rathore, Mutawarra Hussain, Ahmad Ali, Asifullah Khan
A Recent Survey on Colon Cancer Detection Techniques. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (3) (2013)
Muhammad Aksam Iftikhar, Abdul Jalil, Saima Rathore, Ahmad Ali, Mutawarra Hussain
Brain MRI denoizing and segmentation based on improved adaptive nonlocal means. Int. J. Imaging Syst. Technol. 23 (3) (2013)
Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil
Texture Analysis for Liver Segmentation and Classification: A Survey. FIT (2011)