Pallavi Tiwari
Pallavi Tiwari
Associate Professor, Department of Radiology & Biomedical Engineering, UW-Madison
Geverifieerd e-mailadres voor wisc.edu - Homepage
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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
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, 1-14, 2017
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
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, 4188-4197, 2017
Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor
P Prasanna, P Tiwari, A Madabhushi
Scientific reports 6 (1), 37241, 2016
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
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
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), 7, 2018
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
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
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
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
Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma
N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ...
Clinical Cancer Research 26 (8), 1866-1876, 2020
Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study
M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ...
American Journal of Neuroradiology 39 (12), 2187-2193, 2018
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
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ...
PloS one 13 (8), e0200730, 2018
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
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010
MRQy—An open‐source tool for quality control of MR imaging data
AR Sadri, A Janowczyk, R Zhou, R Verma, N Beig, J Antunes, ...
Medical physics 47 (12), 6029-6038, 2020
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, 1521-1532, 2008
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): distinguishing tumor confounders and molecular subtypes on MRI
P Prasanna, P Tiwari, A Madabhushi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
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