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Soumya Ghose
Soumya Ghose
Principal Scientist - Artificial Intelligence, GE HealthCare
Zweryfikowany adres z ge.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
7612014
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
4522018
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
2562012
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
1742015
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
1602014
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
1372018
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
1202018
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
722016
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
722013
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
712015
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
592012
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
502016
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
442023
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
422012
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
322010
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
262011
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
242021
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
242019
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
242010
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
222012
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