Soumya Ghose

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Coauteurs

Jhimli MitraPrincipal Scientist - Computer Vision, GE HealthCare Technology & Innovation CenterAdresse e-mail validée de ge.com
Robert Martí Marly (ORCID 0000-0002...Associate Professor. University of GironaAdresse e-mail validée de udg.edu
Xavier LladoFull Professor. ICREA Academia. University of Girona.Adresse e-mail validée de eia.udg.edu
Fabrice MeriaudeauUniversité Bourgogne Europe, ICMUB UMR CNRS 6302 , Medical Imaging groupAdresse e-mail validée de ube.fr
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechAdresse e-mail validée de emory.edu
Jason A. DowlingCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaAdresse e-mail validée de csiro.au
Jordi FreixenetUniversity of GironaAdresse e-mail validée de udg.edu
Désiré SidibéUniversité d'Evry-Paris SaclayAdresse e-mail validée de univ-evry.fr
Jurgen FrippAustralian e-Health Research Centre CSIROAdresse e-mail validée de csiro.au
Peter B GreerUniversity of NewcastleAdresse e-mail validée de newcastle.edu.au
David Rivest-HénaultCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaAdresse e-mail validée de csiro.au
Olivier SalvadoQueensland University of Technology (QUT)Adresse e-mail validée de qut.edu.au
Jidi SunUniversity of NewcastleAdresse e-mail validée de uon.edu.au
Pierrick BourgeatCSIRO eHealth Research Centre - Biomedical Informatics Group – Image analysis Team , AustraliaAdresse e-mail validée de csiro.au
Jarad MartinConjoint Professor, Radiation Oncology, Calvary Mater Newcastle/University of Newcastle/GenesisCareAdresse e-mail validée de calvarymater.org.au
Shekhar "Shakes" ChandraUniversity of QueenslandAdresse e-mail validée de uq.edu.au
Peter StanwellProfessor of Medical Radiation ScienceAdresse e-mail validée de newcastle.edu.au
Kaikai SHENCSIRO; Macquarie University; Rapiscan SystemsAdresse e-mail validée de mq.edu.au
Zoltan KatoUniversity of SzegedAdresse e-mail validée de inf.u-szeged.hu
Shalini VinodUniversity of NSWAdresse e-mail validée de unsw.edu.au

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Soumya Ghose

Principal Scientist - Artificial Intelligence, GE HealthCare

Adresse e-mail validée de ge.com - Page d'accueil

Generative AI Deep Learning Machine Learning Computer Vision Medical Image Analysis


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	853	2014
Radiomics and radiogenomics in lung cancer: a review for the clinician R Thawani, M McLane, N Beig, S Ghose, P Prasanna, V Velcheti, ... Lung cancer 115, 34-41, 2018	482	2018
A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova, J Freixenet, J Mitra, ... Computer methods and programs in biomedicine 108 (1), 262-287, 2012	266	2012
Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard MRI sequences JA Dowling, J Sun, P Pichler, D Rivest-Hénault, S Ghose, H Richardson, ... International Journal of Radiation Oncology* Biology* Physics 93 (5), 1144-1153, 2015	182	2015
Lesion segmentation from multimodal MRI using random forest following ischemic stroke J Mitra, P Bourgeat, J Fripp, S Ghose, S Rose, O Salvado, A Connelly, ... NeuroImage 98, 324-335, 2014	165	2014
Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: preliminary findings R Shiradkar, S Ghose, I Jambor, P Taimen, O Ettala, AS Purysko, ... Journal of Magnetic Resonance Imaging 48 (6), 1626-1636, 2018	157	2018
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings A Algohary, S Viswanath, R Shiradkar, S Ghose, S Pahwa, D Moses, ... Journal of Magnetic Resonance Imaging 48 (3), 818-828, 2018	131	2018
Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP) S Jain, L Pei, JM Spraggins, M Angelo, JP Carson, N Gehlenborg, F Ginty, ... Nature cell biology 25 (8), 1089-1100, 2023	82	2023
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks J Mitra, K Shen, S Ghose, P Bourgeat, J Fripp, O Salvado, K Pannek, ... Neuroimage 129, 247-259, 2016	78	2016
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning S Ghose, L Holloway, K Lim, P Chan, J Veera, SK Vinod, G Liney, ... Artificial intelligence in medicine 64 (2), 75-87, 2015	75	2015
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images S Ghose, A Oliver, J Mitra, R Martí, X Lladó, J Freixenet, D Sidibé, ... Medical image analysis 17 (6), 587-600, 2013	75	2013
A spline-based non-linear diffeomorphism for multimodal prostate registration J Mitra, Z Kato, R Martí, A Oliver, X Lladó, D Sidibé, S Ghose, JC Vilanova, ... Medical image analysis 16 (6), 1259-1279, 2012	61	2012
MRI‐alone radiation therapy planning for prostate cancer: automatic fiducial marker detection S Ghose, J Mitra, D Rivest‐Hénault, A Fazlollahi, P Stanwell, P Pichler, ... Medical physics 43 (5), 2218-2228, 2016	49	2016
A random forest based classification approach to prostate segmentation in MRI S Ghose, J Mitra, A Oliver, R Marti, X Lladó, J Freixenet, JC Vilanova, ... MICCAI Grand Challenge: Prostate MR Image Segmentation 2012, 125-128, 2012	46	2012
Texture guided active appearance model propagation for prostate segmentation S Ghose, A Oliver, R Martí, X Lladó, J Freixenet, JC Vilanova, ... Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and …, 2010	32	2010
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT T Atta-Fosu, M LaBarbera, S Ghose, P Schoenhagen, W Saliba, PJ Tchou, ... BMC Medical Imaging 21, 1-12, 2021	27	2021
Mass effect deformation heterogeneity (MEDH) on gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere … P Prasanna, J Mitra, N Beig, A Nayate, J Patel, S Ghose, R Thawani, ... Scientific reports 9 (1), 1145, 2019	26	2019
Multiple mean models of statistical shape and probability priors for automatic prostate segmentation S Ghose, A Oliver, R Martí, X Lladó, J Freixenet, J Mitra, JC Vilanova, ... Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions …, 2011	26	2011
Prostate segmentation with texture enhanced active appearance model S Ghose, A Oliver, R Martí, X Lladó, J Freixenet, JC Vilanova, ... 2010 Sixth International Conference on Signal-Image Technology and Internet …, 2010	24	2010
A hybrid framework of multiple active appearance models and global registration for 3D prostate segmentation in MRI S Ghose, A Oliver, R Martí, X Lladó, J Freixenet, J Mitra, JC Vilanova, ... Medical Imaging 2012: Image Processing 8314, 233-241, 2012	23	2012

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