Pallavi Tiwari
Pallavi Tiwari
Assistant Professor, Department of Biomedical Engineering, Case Western Reserve University
Verified email at case.edu - Homepage
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
3142018
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
NM Braman, M Etesami, P Prasanna, C Dubchuk, H Gilmore, P Tiwari, ...
Breast Cancer Research 19 (1), 1-14, 2017
1822017
Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme …
P Prasanna, J Patel, S Partovi, A Madabhushi, P Tiwari
European radiology 27 (10), 4188-4197, 2017
1292017
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS
P Tiwari, J Kurhanewicz, A Madabhushi
Medical image analysis 17 (2), 219-235, 2013
1102013
Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection
P Tiwari, S Viswanath, J Kurhanewicz, A Sridhar, A Madabhushi
NMR in Biomedicine 25 (4), 607-619, 2012
662012
Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor
P Prasanna, P Tiwari, A Madabhushi
Scientific reports 6, 37241, 2016
652016
A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)
P Tiwari, M Rosen, A Madabhushi
Medical physics 36 (9Part1), 3927-3939, 2009
642009
Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas
N Beig, M Khorrami, M Alilou, P Prasanna, N Braman, M Orooji, S Rakshit, ...
Radiology 290 (3), 783-792, 2019
582019
Computer-extracted texture features to distinguish cerebral radionecrosis from recurrent brain tumors on multiparametric MRI: a feasibility study
P Tiwari, P Prasanna, L Wolansky, M Pinho, M Cohen, AP Nayate, ...
American Journal of Neuroradiology 37 (12), 2231-2236, 2016
582016
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation
R Toth, P Tiwari, M Rosen, G Reed, J Kurhanewicz, A Kalyanpur, ...
Medical Image Analysis 15 (2), 214-225, 2011
562011
Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI)
MD Feldman, S Viswanath, P Tiwari, R Toth, A Madabhushi, ...
US Patent 8,295,575, 2012
552012
Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy
P Tiwari, J Kurhanewicz, M Rosen, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2010
462010
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma
N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ...
Scientific reports 8 (1), 1-11, 2018
382018
A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)
P Tiwari, A Madabhushi, M Rosen
International Conference on Medical Image Computing and Computer-Assisted …, 2007
332007
A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models
R Toth, P Tiwari, M Rosen, A Kalyanpur, S Pungavkar, A Madabhushi
Medical Imaging 2008: Image Processing 6914, 69144S, 2008
322008
Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI
P Tiwari, P Prasanna, L Rogers, L Wolansky, C Badve, A Sloan, M Cohen, ...
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90352B, 2014
282014
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): distinguishing tumor confounders and molecular subtypes on MRI
P Prasanna, P Tiwari, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2014
272014
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data
P Tiwari, S Viswanath, G Lee, A Madabhushi
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
272011
Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data
P Tiwari, M Rosen, G Reed, J Kurhanewicz, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2009
222009
Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy
P Tiwari, M Rosen, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2008
222008
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Articles 1–20