Yangming Ou

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Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIPatvirtintas el. paštas pennmedicine.upenn.edu
P. Ellen Grant, MD MSc FACRBoston Children's Hospital, Harvard Medical SchoolPatvirtintas el. paštas childrens.harvard.edu
Jimit DoshiData Scientist, University of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
Xiao DaBrigham and Women's HospitalPatvirtintas el. paštas bwh.harvard.edu
Jayashree Kalpathy-CramerUniversity of ColoradoPatvirtintas el. paštas cuanschutz.edu
Sheng HeBoston Children's Hospital, Harvard Medical SchoolPatvirtintas el. paštas childrens.harvard.edu
Guray ErusSr. Research Investigator, Radiology Dept.,UPENNPatvirtintas el. paštas uphs.upenn.edu
Lilla ZolleiAssociate Professor of Radiology, HMSPatvirtintas el. paštas mgh.harvard.edu
Hongmin CaiSouth China University of TechnologyPatvirtintas el. paštas scut.edu.cn
Ragini VermaDepartment of Radiology, University of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
Aristeidis SotirasAssistant Professor, Washington UniversityPatvirtintas el. paštas wustl.edu
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligencePatvirtintas el. paštas shanghaitech.edu.cn
Nikos ParagiosDistinguished professor, CentraleSupélec, Université Paris-SaclayPatvirtintas el. paštas ecp.fr
Borjan GagoskiBoston Children's HospitalPatvirtintas el. paštas childrens.harvard.edu
Rebecca J. WeissPfizerPatvirtintas el. paštas pfizer.com
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLPatvirtintas el. paštas mgh.harvard.edu
Steve PieperIsomics, Inc.Patvirtintas el. paštas isomics.com
Michael D FeldmanIndiana UniversityPatvirtintas el. paštas iu.edu
Despina KontosProfessor of Radiology, Vice-Chair of AI and Data Science Research, Columbia RadiologyPatvirtintas el. paštas cumc.columbia.edu
Kyrre E. EmblemOslo University Hospital, Oslo, Norway / Massachusetts General Hospital, Boston, MA, USAPatvirtintas el. paštas rr-research.no

Stebėti

Yangming Ou

Harvard Medical School

Patvirtintas el. paštas childrens.harvard.edu - Pagrindinis puslapis

Medical Image Analysis Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge G Litjens, R Toth, W Van De Ven, C Hoeks, S Kerkstra, B Van Ginneken, ... Medical image analysis 18 (2), 359-373, 2014	858	2014
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting Y Ou, A Sotiras, N Paragios, C Davatzikos Medical image analysis 15 (4), 622-639, 2011	471	2011
Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ... American Journal of Neuroradiology 39 (2), 208-216, 2018	402	2018
Multi-atlas skull-stripping J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos Academic radiology 20 (12), 1566-1576, 2013	296	2013
MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection J Doshi, G Erus, Y Ou, SM Resnick, RC Gur, RE Gur, TD Satterthwaite, ... Neuroimage 127, 186-195, 2016	282	2016
Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015	269	2015
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ... Journal of medical imaging 5 (1), 011018-011018, 2018	218	2018
Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights Y Ou, H Akbari, M Bilello, X Da, C Davatzikos IEEE transactions on medical imaging 33 (10), 2039-2065, 2014	197	2014
Accuracy of segment-anything model (sam) in medical image segmentation tasks S He, R Bao, J Li, PE Grant, Y Ou CoRR, 2023	171	2023
Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images R Verma, EI Zacharaki, Y Ou, H Cai, S Chawla, SK Lee, ER Melhem, ... Academic radiology 15 (8), 966-977, 2008	171	2008
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years L Zöllei, JE Iglesias, Y Ou, PE Grant, B Fischl Neuroimage 218, 116946, 2020	153	2020
Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers X Da, JB Toledo, J Zee, DA Wolk, SX Xie, Y Ou, A Shacklett, P Parmpi, ... NeuroImage: Clinical 4, 164-173, 2014	147	2014
Global-local transformer for brain age estimation S He, PE Grant, Y Ou IEEE transactions on medical imaging 41 (1), 213-224, 2021	128	2021
Registering histologic and MR images of prostate for image-based cancer detection Y Zhan, Y Ou, M Feldman, J Tomaszeweski, C Davatzikos, D Shen Academic radiology 14 (11), 1367-1381, 2007	119	2007
Phase II study of tivozanib, an oral VEGFR inhibitor, in patients with recurrent glioblastoma J Kalpathy-Cramer, V Chandra, X Da, Y Ou, KE Emblem, A Muzikansky, ... Journal of neuro-oncology 131, 603-610, 2017	92	2017
Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge Y Xiao, H Rivaz, M Chabanas, M Fortin, I Machado, Y Ou, MP Heinrich, ... IEEE transactions on medical imaging 39 (3), 777-786, 2019	86	2019
Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia MV Zanetti, MS Schaufelberger, J Doshi, Y Ou, LK Ferreira, PR Menezes, ... Progress in Neuro-Psychopharmacology and Biological Psychiatry 43, 116-125, 2013	75	2013
Probabilistic segmentation of brain tumors based on multi-modality magnetic resonance images H Cai, R Verma, Y Ou, S Lee, ER Melhem, C Davatzikos 2007 4th IEEE International Symposium on biomedical imaging: from nano to …, 2007	66	2007
Computer-vision benchmark segment-anything model (sam) in medical images: Accuracy in 12 datasets S He, R Bao, J Li, J Stout, A Bjornerud, PE Grant, Y Ou arXiv preprint arXiv:2304.09324, 2023	65	2023
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan S He, D Pereira, JD Perez, RL Gollub, SN Murphy, S Prabhu, R Pienaar, ... Medical image analysis 72, 102091, 2021	65	2021

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