Saima Rathore
Saima Rathore
Verified email at - Homepage
Cited by
Cited by
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
S Rathore, M Habes, MA Iftikhar, A Shacklett, C Davatzikos
NeuroImage 155, 530-548, 2017
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ...
Journal of medical imaging 5 (1), 011018-011018, 2018
Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
S Rathore, H Akbari, M Rozycki, KG Abdullah, MLP Nasrallah, ZA Binder, ...
Scientific reports 8 (1), 5087, 2018
Epidermal growth factor receptor extracellular domain mutations in glioblastoma present opportunities for clinical imaging and therapeutic development
ZA Binder, AH Thorne, S Bakas, EP Wileyto, M Bilello, H Akbari, ...
Cancer cell 34 (1), 163-177. e7, 2018
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning
S Rathore, H Akbari, J Doshi, G Shukla, M Rozycki, M Bilello, R Lustig, ...
Journal of medical imaging 5 (2), 021219-021219, 2018
A recent survey on colon cancer detection techniques
S Rathore, M Hussain, A Ali, A Khan
IEEE/ACM Transactions on computational biology and bioinformatics 10 (3 …, 2013
GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies
L Hussain, A Ahmed, S Saeed, S Rathore, IA Awan, SA Shah, A Majid, ...
Cancer Biomarkers 21 (2), 393-413, 2018
In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The ϕ-Index
S Bakas, H Akbari, J Pisapia, M Martinez-Lage, M Rozycki, S Rathore, ...
Clinical Cancer Research 23 (16), 4724-4734, 2017
Automated colon cancer detection using hybrid of novel geometric features and some traditional features
S Rathore, M Hussain, A Khan
Computers in biology and medicine 65, 279-296, 2015
Ensemble classification of colon biopsy images based on information rich hybrid features
S Rathore, M Hussain, MA Iftikhar, A Jalil
Computers in biology and medicine 47, 76-92, 2014
Visual object tracking—classical and contemporary approaches
A Ali, A Jalil, J Niu, X Zhao, S Rathore, J Ahmed, M Aksam Iftikhar
Frontiers of Computer Science 10, 167-188, 2016
Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma
H Akbari, S Rathore, S Bakas, MLP Nasrallah, G Shukla, E Mamourian, ...
Cancer, 2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
S Thakur, J Doshi, S Pati, S Rathore, C Sako, M Bilello, SM Ha, G Shukla, ...
Neuroimage 220, 117081, 2020
The cancer imaging phenomics toolkit (CaPTk): technical overview
S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
Automated breast cancer detection using machine learning techniques by extracting different feature extracting strategies
L Hussain, W Aziz, S Saeed, S Rathore, M Rafique
2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018
A multi-modal, multi-atlas based approach for Alzheimer detection via machine learning
International Journal of Imaging Systems and Technology, 2018
Glioma grading via analysis of digital pathology images using machine learning
S Rathore, T Niazi, MA Iftikhar, A Chaddad
Cancers 12 (3), 578, 2020
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma
CD Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ...
Scientific data 9 (1), 453, 2022
The system can't perform the operation now. Try again later.
Articles 1–20