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Journal Articles
- 2023
[j19]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: 107812 (2023)- 2022
- [j18]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: 366-375 (2022) - 2020
- [j17]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: 167767-167778 (2020) - [j16]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: 469-478 (2020) - [j15]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: 117081 (2020) - 2019
- [j14]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: 1586-1601 (2019) - [j13]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: 81 (2019) - 2018
- [j12]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: 37003-37022 (2018) - [j11]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): 113-123 (2018) - 2017
- [j10]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: 530-548 (2017) - 2016
- [j9]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): 167-188 (2016) - 2015
- [j8]Saima Rathore, Mutawarra Hussain, Asifullah Khan:
Automated colon cancer detection using hybrid of novel geometric features and some traditional features. Comput. Biol. Medicine 65: 279-296 (2015) - [j7]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): 92-108 (2015) - 2014
- [j6]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: 76-92 (2014) - [j5]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): 52-66 (2014) - [j4]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): 293-305 (2014) - [j3]Saima Rathore, Mutawarra Hussain, Asifullah Khan:
GECC: Gene Expression Based Ensemble Classification of Colon Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1131-1145 (2014) - 2013
- [j2]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): 235-248 (2013) - [j1]Saima Rathore, Mutawarra Hussain, Ahmad Ali, Asifullah Khan:
A Recent Survey on Colon Cancer Detection Techniques. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 545-563 (2013)
Conference and Workshop Papers
- 2020
- [c14]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: 113151S - 2019
- [c13]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: 380-394 - [c12]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: 1095043 - [c11]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: 61-69 - 2018
- [c10]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: 298-302 - [c9]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: 1057509 - [c8]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: 105760O - [c7]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: 327-331 - 2017
- [c6]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: 133-145 - 2016
- [c5]Saima Rathore, Muhammad Aksam Iftikhar, Mehdi Hassan:
Ensemble Sparse Classification of Colon Cancer. FIT 2016: 235-240 - [c4]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: 184-194 - 2015
- [c3]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: 144-155 - 2013
- [c2]Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil:
A novel approach for ensemble clustering of colon biopsy images. FIT 2013: 25-30 - 2011
- [c1]Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil:
Texture Analysis for Liver Segmentation and Classification: A Survey. FIT 2011: 121-126
Editorship
- 2020
- [e2]Hassan Mohy-ud-Din, Saima Rathore:
Radiomics and Radiogenomics in Neuro-oncology - First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings. Lecture Notes in Computer Science 11991, Springer 2020, ISBN 978-3-030-40123-8 [contents] - [e1]Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar:
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12449, Springer 2020, ISBN 978-3-030-66842-6 [contents]
Informal and Other Publications
- 2023
- [i5]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, Umme Hani Asif, Faiza Babar Khan, Abdul Majid, Jeonghwan Gwak:
A Recent Survey of Vision Transformers for Medical Image Segmentation. CoRR abs/2312.00634 (2023) - 2022
- [i4]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 abs/2206.04349 (2022) - 2019
- [i3]Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos:
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. CoRR abs/1909.07581 (2019) - [i2]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 abs/1909.09124 (2019) - [i1]Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi:
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. CoRR abs/1911.06687 (2019)
Coauthor Index
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