Saima Rathore

According to our database1, Saima Rathore authored at least 38 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cerebral microbleeds: Association with cognitive decline and pathology build-up.
CoRR, 2024

2023
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.
Comput. Methods Programs Biomed., December, 2023

A Recent Survey of Vision Transformers for Medical Image Segmentation.
CoRR, 2023

2022
Deep radiomic signature with immune cell markers predicts the survival of glioma patients.
Neurocomputing, 2022

2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
NeuroImage, 2020

Community-Centric Brokerage-Aware Access Control for Online Social Networks.
Future Gener. Comput. Syst., 2020

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer.
IEEE Access, 2020

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2019
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients.
Frontiers Comput. Neurosci., 2019

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma.
CoRR, 2019

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning.
CoRR, 2019

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma.
CoRR, 2019

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images.
IEEE Access, 2019

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019


2018
A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning.
Int. J. Imaging Syst. Technol., 2018

Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State.
IEEE Access, 2018

Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Object Size Measurement through Images: An Application to Measuring Human Foot Size.
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018

2017
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.
NeuroImage, 2017

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
Visual object tracking - classical and contemporary approaches.
Frontiers Comput. Sci., 2016

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Ensemble Sparse Classification of Colon Cancer.
Proceedings of the International Conference on Frontiers of Information Technology, 2016

2015
Novel structural descriptors for automated colon cancer detection and grading.
Comput. Methods Programs Biomed., 2015

Automated colon cancer detection using hybrid of novel geometric features and some traditional features.
Comput. Biol. Medicine, 2015

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2014
GECC: Gene Expression Based Ensemble Classification of Colon Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Robust brain MRI denoising and segmentation using enhanced non-local means algorithm.
Int. J. Imaging Syst. Technol., 2014

An extended non-local means algorithm: Application to brain MRI.
Int. J. Imaging Syst. Technol., 2014

Ensemble classification of colon biopsy images based on information rich hybrid features.
Comput. Biol. Medicine, 2014

2013
A Recent Survey on Colon Cancer Detection Techniques.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Brain MRI denoizing and segmentation based on improved adaptive nonlocal means.
Int. J. Imaging Syst. Technol., 2013

A novel approach for ensemble clustering of colon biopsy images.
Proceedings of the 11th International Conference on Frontiers of Information Technology, 2013

2011
Texture Analysis for Liver Segmentation and Classification: A Survey.
Proceedings of the 2011 Frontiers of Information Technology, 2011


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