Saima Rathore

发表

Brain Tumor Segmentation by a Generative Model with a Prior on Tumor Shape

Bjoern H Menze, Vivek S. Bharadwaj, H. Larochelle, 2015 .

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

S. Bakas, C. Davatzikos, Bilwaj Gaonkar, 2015, Brainles@MICCAI.

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1

Zev A. Binder, C. Davatzikos, M. Bilello, 2018, Scientific Reports.

Object Size Measurement through Images: An Application to Measuring Human Foot Size

Z. A. Gondal, Saima Rathore, M. A. Shahid, 2018, 2018 International Conference on Frontiers of Information Technology (FIT).

CBISC: A Novel Approach for Colon Biopsy Image Segmentation and Classification

Saima Rathore, M. A. Iftikhar, 2016 .

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images

Muhammad Usama Usman, Adnan Idris, Saima Rathore, 2019, IEEE Access.

Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning

Ahmad Chaddad, Tamim Niazi, Saima Rathore, 2020, Cancers.

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Cancer.

Parameter optimization for non-local de-noising using Elite GA

Saima Rathore, Aksam Iftikhar, Abdul Jalil, 2012, 2012 15th International Multitopic Conference (INMIC).

NIMG-38. QUANTITATIVE IMAGING PREDICTORS OF OVERALL SURVIVAL IN GLIOBLASTOMA PATIENTS ROBUST IN THE PRESENCE OF INTER-SCANNER VARIATIONS

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

Multimodal Ensemble-Based Segmentation of White Matter Lesions and Analysis of Their Differential Characteristics across Major Brain Regions

M. Bilello, Saima Rathore, M. A. Iftikhar, 2020, Applied Sciences.

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2018, Cancer cell.

In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The ϕ-Index

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2017, Clinical Cancer Research.

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Zev A. Binder, William A. Parker, S. Bakas, 2022, Scientific Data.

NIMG-59. RADIOLOGIC SUBTYPES OF GLIOBLASTOMA CALCULATED VIA MULTI-PARAMETRIC IMAGING SIGNATURES REVEAL COMPLEMENTARY INFORMATION TO CURRENT WHO CLASSIFICATION

Christos Davatzikos, Michel Bilello, Saima Rathore, 2017 .

AI-based Prognostic Imaging Biomarkers for Precision Neurooncology: the ReSPOND Consortium.

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Neuro-oncology.

NIMG-44. QUANTITATIVE MULTI-PARAMETRIC IMAGE PROFILING REVEALS REMARKABLE HETEROGENEITY WITHIN IDH-WILDTYPE GLIOBLASTOMA, OFFERING PROGNOSTIC STRATIFICATION BEYOND CURRENT WHO CLASSIFICATIONS

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2018, Neuro-Oncology.

MPTH-02. EXTRACELLULAR EGFR289 ACTIVATING MUTATIONS CONFER POORER SURVIVAL AND SUGGEST ENHANCED MOTILITY IN PRIMARY GBMs

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2016 .

Radiomic Features from Multi-Institutional Glioblastoma MRI Offer Additive Prognostic Value to Clinical and Genomic Markers: Focus on TCGA-GBM Collection

Christos Davatzikos, Spyridon Bakas, Aristeidis Sotiras, 2017 .

Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2017, JAMA pediatrics.

NIMG-70. QUANTITATIVE IMAGE ANALYSIS AND MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN PATIENTS WITH GLIOBLASTOMA

Christos Davatzikos, Spyridon Bakas, Ronald L. Wolf, 2018, Neuro-Oncology.

NIMG-20. IMAGING PATTERN ANALYSIS REVEALS THREE DISTINCT PHENOTYPIC SUBTYPES OF GBM WITH DIFFERENT SURVIVAL RATES

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2016 .

NIMG-45. MULTIVARIATE PATTERN ANALYSIS OF DE NOVO GLIOBLASTOMA PATIENTS OFFERS IN VIVO EVALUATION OF O6-METHYLGUANINE-DNA-METHYLTRANSFERASE (MGMT) PROMOTER METHYLATION STATUS, COMPENSATING FOR INSUFFICIENT SPECIMEN AND ASSAY FAILURES

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

Visual object tracking—classical and contemporary approaches

J. Ahmed, J. Niu, A. Jalil, 2016, Frontiers of Computer Science.

Combining MRI and Histologic Imaging Features for Predicting Overall Survival in Patients with Glioma.

M. Bilello, A. Abdulkadir, Saima Rathore, 2021, Radiology. Imaging cancer.

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

Christos Davatzikos, Mohamad Habes, Saima Rathore, 2017, NeuroImage.

Texture Analysis for Liver Segmentation and Classification: A Survey

Abdul Jalil, Saima Rathore, Mutawarra Hussain, 2011, 2011 Frontiers of Information Technology.

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer

Idowu Paul Okuwobi, Christian Desrosiers, Ahmad Chaddad, 2020, IEEE Access.

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Christos Davatzikos, Michel Bilello, Gaurav Shukla, 2020, Journal of medical imaging.

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2018, Journal of medical imaging.

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2017, BrainLes@MICCAI.

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

Christos Davatzikos, Spyridon Bakas, Aristeidis Sotiras, 2016, BrainLes@MICCAI.

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Bilwaj Gaonkar, Christos Davatzikos, Spyridon Bakas, 2015, Brainles@MICCAI.

Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients

Christos Davatzikos, Ramana V. Davuluri, Spyridon Bakas, 2019, Front. Comput. Neurosci..

Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2019, Medical Imaging.

Deep radiomic signature with immune cell markers predicts the survival of glioma patients

Christian Desrosiers, Ahmad Chaddad, Tamim Niazi, 2021, Neurocomputing.

Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State

Saeed Arif Shah, Saima Rathore, Lal Hussain, 2018, IEEE Access.

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1

Zev A. Binder, C. Davatzikos, M. Bilello, 2018, Scientific Reports.

Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review

Saima Rathore, A. Cheddad, S. Probst, 2021, Cancers.

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

Christos Davatzikos, Spyridon Bakas, Ashutosh Kumar Singh, 2020, JCO clinical cancer informatics.

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)

Ashutosh Kumar Singh, D. Kontos, S. Bakas, 2020, Neuro-oncology advances.

Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.

Saeed Arif Shah, Saima Rathore, Lal Hussain, 2017, Cancer biomarkers : section A of Disease markers.

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Medical Imaging.

Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Journal of medical imaging.

Radiomics and Radiogenomics in Neuro-oncology: First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Hassan Mohy-ud-Din, Saima Rathore, Saima Rathore, 2020, RNO-AI@MICCAI.

Precision diagnostics based on machine learning-derived imaging signatures.

Christos Davatzikos, Spyridon Bakas, Mohamad Habes, 2019, Magnetic resonance imaging.

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma

Ahmad Chaddad, Saima Rathore, Nadeem Haider Bukhari, 2019, RNO-AI@MICCAI.

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma pdf

Christian Desrosiers, Ahmad Chaddad, Saima Rathore, 2019, RNO-AI@MICCAI.

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning pdf

Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos, 2019, Neuro-Oncology.

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma pdf

Metin Nafi Gürcan, Saima Rathore, Muhammad Aksam Iftikhar, 2019, Neuro-Oncology.

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols

Christos Davatzikos, Michel Bilello, Russell T. Shinohara, 2020, Medical Imaging: Image-Guided Procedures.

GECC: Gene Expression Based Ensemble Classification of Colon Samples

Asifullah Khan, Saima Rathore, Mutawarra Hussain, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Automated lung cancer detection based on multimodal features extracting strategy using machine learning techniques

Saima Rathore, Lal Hussain, Adeel Ahmed Abbasi, 2019, Medical Imaging.

Novel structural descriptors for automated colon cancer detection and grading

Abdul Jalil, Saima Rathore, Mutawarra Hussain, 2015, Comput. Methods Programs Biomed..

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2019, BrainLes@MICCAI.

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, S. Bakas, M. Bilello, 2020, NeuroImage.

NIMG-40. NON-INVASIVE IN VIVO SIGNATURE OF IDH1 MUTATIONAL STATUS IN HIGH GRADE GLIOMA, FROM CLINICALLY-ACQUIRED MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING, USING MULTIVARIATE MACHINE LEARNING

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

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

Christos Davatzikos, Spyridon Bakas, Gaurav Shukla, 2018, Medical Imaging.

Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs

Amber L. Simpson, Sharyn I. Katz, D. Kontos, 2021, Applied sciences.

A Recent Survey on Colon Cancer Detection Techniques

Ahmad Ali, Asifullah Khan, Saima Rathore, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Brain MRI denoizing and segmentation based on improved adaptive nonlocal means

Abdul Jalil, Ahmad Ali, Saima Rathore, 2013, Int. J. Imaging Syst. Technol..

Automated colon cancer detection using hybrid of novel geometric features and some traditional features

Asifullah Khan, Saima Rathore, Mutawarra Hussain, 2015, Comput. Biol. Medicine.

Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Christian Desrosiers, Saima Rathore, A. Chaddad, 2023, Cancers.

A novel approach for automatic gene selection and classification of gene based colon cancer datasets

Saima Rathore, Mutawarra Hussain, Muhammad Aksam Iftikhar, 2014, 2014 International Conference on Emerging Technologies (ICET).

Ensemble classification of colon biopsy images based on information rich hybrid features

Abdul Jalil, Saima Rathore, Mutawarra Hussain, 2014, Comput. Biol. Medicine.

Classification of colon biopsy images based on novel structural features

Abdul Jalil, Saima Rathore, Mutawarra Hussain, 2013, 2013 IEEE 9th International Conference on Emerging Technologies (ICET).

A multi‐modal, multi‐atlas‐based approach for Alzheimer detection via machine learning

Ahmad Kamran Malik, Basit Raza, Yousra Asim, 2018, Int. J. Imaging Syst. Technol..

Community-Centric Brokerage-Aware Access Control for Online Social Networks

Ahmad Kamran Malik, Basit Raza, Wajeeha Naeem, 2020, Future generations computer systems.

Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies

Muhammad Rafique, Saima Rathore, Lal Hussain, 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions

Michel Bilello, Ahmad Chaddad, Tamim Niazi, 2019, Cancers.

A Recent Survey of Vision Transformers for Medical Image Segmentation

Saima Rathore, Jeonghwan Gwak, A. Majid, 2023, ArXiv.

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.

Siddhesh P. Thakur, D. Kontos, S. Bakas, 2019, Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes.

Comparative study of entity and group mobility models in MANETs based on underlying reactive, proactive and hybrid routing schemes

Saima Rathore, Madeeha Naiyar, Ahmad Ali, 2012, 2012 15th International Multitopic Conference (INMIC).

Capture Largest Included Circles: An Approach for Counting Red Blood Cells

Abdul Jalil, Ahmad Ali, Saima Rathore, 2012 .

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Spyridon Bakas, Michel Bilello, Saima Rathore, 2020, NeuroImage.

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles

Ashutosh Kumar Singh, Saima Rathore, M. A. Iftikhar, 2023, Comput. Methods Programs Biomed..

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.

Alessandro Crimi, S. Bakas, Bilwaj Gaonkar, 2015, Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes.