Name
Affiliation
Papers
PALLAVI TIWARI
Department of Biomedical Engineering, Rutgers University
27
Collaborators
Citations 
PageRank 
64
119
14.87
Referers 
Referees 
References 
404
431
176
Search Limit
100431
Title
Citations
PageRank
Year
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma00.342022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment00.342022
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology.00.342019
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways.00.342019
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.00.342019
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI.00.342019
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.00.342019
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis.00.342017
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction.00.342017
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma.00.342017
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.10.352017
Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management.00.342014
Texture Descriptors to distinguish Radiation Necrosis from Recurrent Brain Tumors on multi-parametric MRI.10.392014
Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI.00.342014
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.251.742013
Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy.00.342013
CADOnc(©): An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI.30.472011
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data70.562011
Variable ranking with PCA: finding multiparametric MR imaging markers for prostate cancer diagnosis and grading20.462011
Weighted combination of multi-parametric MR imaging markers for evaluating radiation therapy related changes in the prostate50.552011
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.241.552011
Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy.140.952010
Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.70.702009
Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy.80.532008
A Multi-Modal Prostate Segmentation Scheme by Combining Spectral Clustering and Active Shape Models120.992008
A Meta-Classifier for Detecting Prostate Cancer by Quantitative Integration of In Vivo Magnetic Resonance Spectroscopy and Magnetic Resonance Imaging20.422008
A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).80.842007