Saima Rathore
Saima Rathore
Avid Radiopharmaceuticals
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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
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
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 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), 1-12, 2018
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation
CD Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
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, ...
BrainLes 2015, 144-155, 2015
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, 2018
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
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
Visual object tracking—classical and contemporary approaches
A Ali, A Jalil, J Niu, X Zhao, S Rathore, J Ahmed, MA Iftikhar
Frontiers of Computer Science 10 (1), 167-188, 2016
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
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, RA Lustig, ...
Journal of Medical Imaging 5 (2), 021219, 2018
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
GECC: Gene expression based ensemble classification of colon samples
S Rathore, M Hussain, A Khan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 11†…, 2014
Novel structural descriptors for automated colon cancer detection and grading
S Rathore, M Hussain, MA Iftikhar, A Jalil
Computer methods and programs in biomedicine 121 (2), 92-108, 2015
Texture analysis for liver segmentation and classification: a survey
S Rathore, MA Iftikhar, M Hussain, A Jalil
2011 Frontiers of Information Technology, 121-126, 2011
A multi-modal, multi-atlas based approach for Alzheimer detection via machine learning
International Journal of Imaging Systems and Technology, 2018
Robust brain MRI denoising and segmentation using enhanced non‐local means algorithm
M Aksam Iftikhar, A Jalil, S Rathore, M Hussain
International journal of imaging systems and technology 24 (1), 52-66, 2014
Segmentation of gliomas in multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ...
Proceeding of the Multimodal Brain Tumor Image Segmentation Challenge, 5-12, 2015
Segmentation of gliomas in pre-operative and post-operative multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework
K Zeng, S Bakas, A Sotiras, H Akbari, M Rozycki, S Rathore, S Pati, ...
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke†…, 2016
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