Pallavi Tiwari

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Medeauteurs

Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechGeverifieerd e-mailadres voor emory.edu
Prateek PrasannaAssistant Professor, Stony Brook UniversityGeverifieerd e-mailadres voor stonybrook.edu
Kaustav BeraDepartment of Radiology, University Hospitals Cleveland, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Satish E. ViswanathAssociate Professor, Department of Biomedical Engineering, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Marwa IsmailScientist I, University of Wisconsin-MadisonGeverifieerd e-mailadres voor wisc.edu
Virginia B HillAssistant Professor, Northwestern University Feinberg School of MedicineGeverifieerd e-mailadres voor nm.org
Ruchika VermaAssociate Machine Learning Scientist, Alberta Machine Intelligence Institute (Amii)Geverifieerd e-mailadres voor amii.ca
John kurhanewiczUCSFGeverifieerd e-mailadres voor ucsf.edu
Gagandeep SinghAssistant Professor of Neuroradiology at Columbia- NYPGeverifieerd e-mailadres voor case.edu
Rajat ThawaniAssistant Professor, University of Chicago MedicineGeverifieerd e-mailadres voor bsd.uchicago.edu
Jacob AntunesMIM Software IncGeverifieerd e-mailadres voor mimsoftware.com
Vinay VaradanExecutive Director, Computational Oncology and Immunology, Merck Research LaboratoriesGeverifieerd e-mailadres voor merck.com
Robert TothRutgers UniversityGeverifieerd e-mailadres voor eden.rutgers.edu
Andrew SloanDirector, Brain Tumor & Neuro-Oncology Center, University Hosptials-CWRU School of MedicineGeverifieerd e-mailadres voor uhhospitals.org
Anas Saeed BamashmosYale New Haven HealthGeverifieerd e-mailadres voor ynhh.org
Michael D FeldmanIndiana UniversityGeverifieerd e-mailadres voor iu.edu
Salendra SinghCleveland ClinicGeverifieerd e-mailadres voor ccf.org
Raymond HuangBrigham and Women's HospitalGeverifieerd e-mailadres voor bwh.harvard.edu
Galen ReedComputer Vision @ TruvianGeverifieerd e-mailadres voor truvianhealth.com
shabbar danishAssociate Professor, Neurosurgery, Rutgers UniversityGeverifieerd e-mailadres voor rutgers.edu

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Pallavi Tiwari

Associate Professor, Department of Radiology & Biomedical Engineering, UW-Madison

Geverifieerd e-mailadres voor wisc.edu - Homepage

Radiomics Radiogenomics Medical Image analysis machine learning pattern recognition


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1623	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	490	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	261	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	258	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	152	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	122	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	116	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	106	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	86	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	85	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	75	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	74	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	70	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	67	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	63	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	55	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	45	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	40	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	39	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	36	2014

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