Harini Veeraraghavan

Citirano

	Sve	Od 2019.
Citati	7661	6127
H-indeks	41	38
i10-indeks	80	65

1200

600

300

900

2005200620072008200920102011201220132014201520162017201820192020202120222023202425 39 46 49 66 54 69 60 71 88 90 150 241 392 637 889 1169 1159 1190 1067

Javni pristup

Prikaži sve

71 članak

3 članka

dostupno

nije dostupno

Na temelju uvjeta financiranja

Suautori

Joseph O. Deasy, PhDMemorial Sloan Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Neelam TyagiAssociate Attending Physicist, Memorial Sloan-Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Aditya P. ApteMemorial Sloan-Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Hebert Alberto VargasNew York University Grossman School of MedicinePotvrđena adresa e-pošte na nyulangone.org
Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaPotvrđena adresa e-pošte na cs.umn.edu
Maria ThorAssistant Attending Physicist, Memorial Sloan Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Duc FehrAdministration des Contributions Directes, LuxembourgPotvrđena adresa e-pošte na co.etat.lu
Jinzhong YangMD Anderson Cancer CenterPotvrđena adresa e-pošte na mdanderson.org
Stephanie NougaretMontpellier Cancer Research Institute (IRCM)Potvrđena adresa e-pošte na dbmail.com
Carol Aghajanian, MDChief, Gynecologic Medical Oncology Service, Memorial Sloan Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Dmitriy ZamarinIcahn School of Medicine at Mount SinaiPotvrđena adresa e-pošte na mssm.edu
Paul SchraterUniversity of MinnesotaPotvrđena adresa e-pošte na umn.edu
Martin L MillerSenior Director, AstraZenecaPotvrđena adresa e-pošte na astrazeneca.com
James MillerSenior Principal Scientist, Artificial Intelligence, GE Global ResearchPotvrđena adresa e-pošte na ge.com
Sunitha B thakurMemorial Sloan Kettering Cancer CenterPotvrđena adresa e-pošte na mskcc.org
Alejandro Jiménez-SánchezPostdoctoral Research Fellow, Computational & Systems Biology Program, Sloan Kettering InstitutePotvrđena adresa e-pošte na mskcc.org
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaPotvrđena adresa e-pošte na umn.edu
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolPotvrđena adresa e-pošte na bwh.harvard.edu
Taha MerghoubAssociate Professor, MSKPotvrđena adresa e-pošte na mskcc.org
Ziad SalehMemorial Sloan-Kettering Cancer Center, Washington University School of Medicine in St LouisPotvrđena adresa e-pošte na mskcc.org

Prati

Harini Veeraraghavan

Associate Attending Computer Scientist, Memorial Sloan-Kettering Cancer Center

Potvrđena adresa e-pošte na mskcc.org - Početna stranica

Multi-modality analysis image segmentation deep/machine learning image registration radiomics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Heterogeneous tumor-immune microenvironments among differentially growing metastases in an ovarian cancer patient A Jiménez-Sánchez, D Memon, S Pourpe, H Veeraraghavan, Y Li, ... Cell 170 (5), 927-938. e20, 2017	472	2017
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason … A Wibmer, H Hricak, T Gondo, K Matsumoto, H Veeraraghavan, D Fehr, ... European radiology 25, 2840-2850, 2015	469	2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images D Fehr, H Veeraraghavan, A Wibmer, T Gondo, K Matsumoto, HA Vargas, ... Proceedings of the National Academy of Sciences 112 (46), E6265-E6273, 2015	450	2015
A rectal cancer organoid platform to study individual responses to chemoradiation K Ganesh, C Wu, KP O’Rourke, BC Szeglin, Y Zheng, CEG Sauvé, ... Nature medicine 25 (10), 1607-1614, 2019	431	2019
Vision 20/20: perspectives on automated image segmentation for radiotherapy G Sharp, KD Fritscher, V Pekar, M Peroni, N Shusharina, ... Medical physics 41 (5), 050902, 2014	425	2014
Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging E Sala, E Mema, Y Himoto, H Veeraraghavan, JD Brenton, A Snyder, ... Clinical radiology 72 (1), 3-10, 2017	342	2017
MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy N Horvat, H Veeraraghavan, M Khan, I Blazic, J Zheng, M Capanu, E Sala, ... Radiology 287 (3), 833-843, 2018	337	2018
Computer vision algorithms for intersection monitoring H Veeraraghavan, O Masoud, NP Papanikolopoulos IEEE Transactions on Intelligent Transportation Systems 4 (2), 78-89, 2003	315	2003
Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images J Jiang, YC Hu, CJ Liu, D Halpenny, MD Hellmann, JO Deasy, G Mageras, ... IEEE transactions on medical imaging 38 (1), 134-144, 2018	287	2018
GBM volumetry using the 3D Slicer medical image computing platform J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ... Scientific reports 3 (1), 1364, 2013	278	2013
Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017 J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ... Medical physics 45 (10), 4568-4581, 2018	261	2018
Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation J Jiang, YC Hu, N Tyagi, P Zhang, A Rimner, GS Mageras, JO Deasy, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	213	2018
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer KM Boehm, EA Aherne, L Ellenson, I Nikolovski, M Alghamdi, ... Nature cancer 3 (6), 723-733, 2022	167	2022
Differentiation of uterine leiomyosarcoma from atypical leiomyoma: diagnostic accuracy of qualitative MR imaging features and feasibility of texture analysis Y Lakhman, H Veeraraghavan, J Chaim, D Feier, DA Goldman, ... European radiology 27, 2903-2915, 2017	164	2017
Breast cancer subtype intertumor heterogeneity: MRI‐based features predict results of a genomic assay EJ Sutton, JH Oh, BZ Dashevsky, H Veeraraghavan, AP Apte, SB Thakur, ... Journal of Magnetic Resonance Imaging 42 (5), 1398-1406, 2015	149	2015
Breast cancer molecular subtype classifier that incorporates MRI features EJ Sutton, BZ Dashevsky, JH Oh, H Veeraraghavan, AP Apte, SB Thakur, ... Journal of Magnetic Resonance Imaging 44 (1), 122-129, 2016	147	2016
Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research AP Apte, A Iyer, M Crispin‐Ortuzar, R Pandya, LV Van Dijk, E Spezi, ... Medical physics 45 (8), 3713-3720, 2018	140	2018
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome HA Vargas, H Veeraraghavan, M Micco, S Nougaret, Y Lakhman, ... European radiology 27, 3991-4001, 2017	113	2017
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy S Elguindi, MJ Zelefsky, J Jiang, H Veeraraghavan, JO Deasy, MA Hunt, ... Physics and imaging in radiation oncology 12, 80-86, 2019	110	2019
Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets H Um, F Tixier, D Bermudez, JO Deasy, RJ Young, H Veeraraghavan Physics in Medicine & Biology 64 (16), 165011, 2019	103	2019

Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.

Članci 1–20

Godišnji broj citata

Dvostruki navodi

Spojeni navodi

Dodavanje suautoraSuautori

Prati

Citirano

Suautori