Soumya Ghose
According to our database1,
Soumya Ghose
authored at least 39 papers
between 2010 and 2023.
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Bibliography
2023
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.
Frontiers Bioinform., May, 2023
A hybrid deformable registration method to generate motion-compensated 3D virtual MRI for fusion with interventional real-time 3D ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2023
Transformer-based Characterization of Breast Lesions in Handheld Ultrasound Images WITH Classification Inconsistency Measure.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2021
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
BMC Medical Imaging, 2021
2020
Patient-specific deep deformation models (PsDDM) to register planning and interventional ultrasound volumes in image fusion-guided interventions.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Automatic brain structure-guided registration of pre and intra-operative 3D ultrasound for neurosurgery.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2017
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.
NeuroImage, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning.
Artif. Intell. Medicine, 2015
2014
Lesion segmentation from multimodal MRI using random forest following ischemic stroke.
NeuroImage, 2014
Medical Image Anal., 2014
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
2013
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.
Medical Image Anal., 2013
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
Multi-atlas and Gaussian Mixture Modeling Based Perirectal Fat Segmentation from CT Images.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
2012
Robust Image Segmentation Applied to Magnetic Resonance and Ultrasound Images of the Prostate. (Segmentation d'images robuste appliqué à l'imagerie par résonance magnétique et l'échographie de la prostate).
PhD thesis, 2012
Medical Image Anal., 2012
A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images.
Comput. Methods Programs Biomed., 2012
Prostate multimodality image registration based on B-splines and quadrature local energy.
Int. J. Comput. Assist. Radiol. Surg., 2012
Statistical shape and texture model of quadrature phase information for prostate segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2012
A shape-based statistical method to retrieve 2D TRUS-MR slice correspondence for prostate biopsy.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
A hybrid framework of multiple active appearance models and global registration for 3D prostate segmentation in MRI.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
A coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate segmentation in MR images.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Spectral clustering of shape and probability prior models for automatic prostate segmentation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012
2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
A probabilistic framework for automatic prostate segmentation with a statistical model of shape and appearance.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
2010
Proceedings of the Sixth International Conference on Signal-Image Technology and Internet-Based Systems, 2010
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010