Publications:
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Journal Papers:
[J14] C. Sindhura, M. Al Fahim, P. K. Yalavarthy and S. Gorthi, Fully automated sinogram-based deep learning model for detection and classification of intracranial hemorrhage, in Medical Physics, p. 1-13, 2023. [Detailed record]
[J13] J. Li, D. G. Ellis, ..., S. Pathak, C. Sindhura, RKS Gorthi, D. V. Kiran, S. Gorthi et. al. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge, in Medical Image Analysis, vol. 88, num. p. 1-15, Aug. 2023. [Detailed record]
[J12] A. S. Madhvacharyula, A. V. S. Pavan, S. Gorthi, S. Chitral, N Venkaiah and V. K. Degala. In situ detection of welding defects: a review, in Welding in the World Journal, p. 611-628, Apr. 2022. [Detailed record]
[J11] J. K. Mandapalli, V. Ravi, S. S. Gorthi, S. Gorthi and RKS Gorthi. Single-shot circular fringe projection for profiling of objects having surface discontinuities, in Journal of the Optical Society of America A (JOSA-A), vol. 38, num. 9, p. 1-13, 2021.
[J10] R. C. Machineni, G.E. Spoorthi, K. S. Vengala, S. Gorthi and RKS Gorthi. End-to-End Deep Learning-based Fringe Projection Framework for 3D Profiling of Objects, in Computer Vision and Image Understanding, 2020. [Detailed record]
[J9] G.E. Spoorthi, RKS Gorthi and S. Gorthi. PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep Learning Approach, in IEEE Transactions on Image Processing, vol. 29, p. 4862-4872, 2020. [Detailed record] [Full Text]
[J8] G.E. Spoorthi, S. Gorthi, and RKS Gorthi. PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping, in IEEE Signal Processing Letters, vol. 26, num. 1, p. 54-58, 2019. [Detailed record] [Full Text]
[J7] S. Gorthi, A. Akhondi-Asl and S. K. Warfield. Optimal MAP Parameters Estimation in STAPLE using Local Intensity Similarity Information. in IEEE Journal of Biomedical and Health Informatics, vol. 19, num. 5, p. 1589-1597, 2015. [Detailed record] [Full Text]
[J6] S. Gorthi, M. Bach Cuadra, P.-A. Tercier, A. S. Allal and J.-P. Thiran. Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation, in IEEE Signal Processing Letters, vol. 20, num. 11, p. 1036-1039, 2013. [Detailed record] [Full Text]
[J5] O. Esteban, G. Wollny, S. Gorthi, M.-J. Ledesma-Carbayo and J.-P. Thiran et al. MBIS: Multivariate Bayesian Image Segmentation tool, in Computer Methods And Programs In Biomedicine, vol. 115, num. 2, p. 76-94, 2014. [Detailed record] [Full Text]
[J4] S. Gorthi, V. Duay, X. Bresson, M. Bach Cuadra and S. Castro, C. Pollo, A. S. Allal, and J.-Ph. Thiran. Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework, in Medical Image Analysis, vol. 15, num. 6, p. 787-800, 2011. [Detailed record] [Full Text]
[J3] S. Gorthi, M. Bach Cuadra and J.-Ph. Thiran. Exporting Contours to DICOM-RT Structure Set, in Insight Journal, num. 1, 2009. (ITK Open Access/Open Review/Open Source Journal) [Detailed record] [Full Text]
[J2] S. Gorthi, V. Duay, N. Houhou, M. Bach Cuadra and U. Schick, M. Becker, A. S. Allal, and J.-Ph. Thiran. Segmentation of head and neck lymph node regions for radiotherapy planning, using active contour based atlas registration, in IEEE Journal of selected topics in signal processing, vol. 3, num. 1, p. 135-147, 2009. [Detailed record] [Full Text]
[J1] S. Gorthi, A. Mohanty and A. Chatterjee. Cantilever beam electrostatic MEMS actuators beyond pull-in, in Journal of Micromechanics and MicroEngineering, vol. 16, num. 9, p. 1800-1810, 2006. [Detailed record] [Full Text]
[J13] J. Li, D. G. Ellis, ..., S. Pathak, C. Sindhura, RKS Gorthi, D. V. Kiran, S. Gorthi et. al. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge, in Medical Image Analysis, vol. 88, num. p. 1-15, Aug. 2023. [Detailed record]
[J12] A. S. Madhvacharyula, A. V. S. Pavan, S. Gorthi, S. Chitral, N Venkaiah and V. K. Degala. In situ detection of welding defects: a review, in Welding in the World Journal, p. 611-628, Apr. 2022. [Detailed record]
[J11] J. K. Mandapalli, V. Ravi, S. S. Gorthi, S. Gorthi and RKS Gorthi. Single-shot circular fringe projection for profiling of objects having surface discontinuities, in Journal of the Optical Society of America A (JOSA-A), vol. 38, num. 9, p. 1-13, 2021.
[J10] R. C. Machineni, G.E. Spoorthi, K. S. Vengala, S. Gorthi and RKS Gorthi. End-to-End Deep Learning-based Fringe Projection Framework for 3D Profiling of Objects, in Computer Vision and Image Understanding, 2020. [Detailed record]
[J9] G.E. Spoorthi, RKS Gorthi and S. Gorthi. PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep Learning Approach, in IEEE Transactions on Image Processing, vol. 29, p. 4862-4872, 2020. [Detailed record] [Full Text]
[J8] G.E. Spoorthi, S. Gorthi, and RKS Gorthi. PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping, in IEEE Signal Processing Letters, vol. 26, num. 1, p. 54-58, 2019. [Detailed record] [Full Text]
[J7] S. Gorthi, A. Akhondi-Asl and S. K. Warfield. Optimal MAP Parameters Estimation in STAPLE using Local Intensity Similarity Information. in IEEE Journal of Biomedical and Health Informatics, vol. 19, num. 5, p. 1589-1597, 2015. [Detailed record] [Full Text]
[J6] S. Gorthi, M. Bach Cuadra, P.-A. Tercier, A. S. Allal and J.-P. Thiran. Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation, in IEEE Signal Processing Letters, vol. 20, num. 11, p. 1036-1039, 2013. [Detailed record] [Full Text]
[J5] O. Esteban, G. Wollny, S. Gorthi, M.-J. Ledesma-Carbayo and J.-P. Thiran et al. MBIS: Multivariate Bayesian Image Segmentation tool, in Computer Methods And Programs In Biomedicine, vol. 115, num. 2, p. 76-94, 2014. [Detailed record] [Full Text]
[J4] S. Gorthi, V. Duay, X. Bresson, M. Bach Cuadra and S. Castro, C. Pollo, A. S. Allal, and J.-Ph. Thiran. Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework, in Medical Image Analysis, vol. 15, num. 6, p. 787-800, 2011. [Detailed record] [Full Text]
[J3] S. Gorthi, M. Bach Cuadra and J.-Ph. Thiran. Exporting Contours to DICOM-RT Structure Set, in Insight Journal, num. 1, 2009. (ITK Open Access/Open Review/Open Source Journal) [Detailed record] [Full Text]
[J2] S. Gorthi, V. Duay, N. Houhou, M. Bach Cuadra and U. Schick, M. Becker, A. S. Allal, and J.-Ph. Thiran. Segmentation of head and neck lymph node regions for radiotherapy planning, using active contour based atlas registration, in IEEE Journal of selected topics in signal processing, vol. 3, num. 1, p. 135-147, 2009. [Detailed record] [Full Text]
[J1] S. Gorthi, A. Mohanty and A. Chatterjee. Cantilever beam electrostatic MEMS actuators beyond pull-in, in Journal of Micromechanics and MicroEngineering, vol. 16, num. 9, p. 1800-1810, 2006. [Detailed record] [Full Text]
Conference Papers:
[C25] S. Alavala and S. Gorthi. 3D CBCT challenge 2024: Improved Cone Beam CT reconstruction using SwinIR-based Sinogram and Image Enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024.
[C24] S. Vengala, R. K. S. Gorthi and S. Gorthi. Simultaneous Phase Denoising and Unwrapping of MR Images using A New Deep Learning Method, IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May, 2024.
[C23] V. Ravi, K. S. Vengala, S. Gorthi and R. K. S. Gorthi. Lightweight Learning Model for Speckle Denoising in Digital Holography, 8th International Conference on Computer Vision and Image Processing (CVIP), Jammu, India, Nov 2023.
[C22] C. Sindhura, H. V. R. Vengama, and S. Gorthi. Efficient-PSP-Net: A Lightweight Model for the Segmentation of Liver and Tumor in CT Scans, 13th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Gandhinagar, India, Dec 2022.
[C21] P. Lankireddy, C. Sindhura, and S. Gorthi. A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages, 13th MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Singapore, Sep 2022. [Full Text]
[C20] S. Pathak, C. Sindhura, R. K. S. Gorthi, V. K. Degala, and S. Gorthi. Cranial Implant Design Using V-Net Based Region of Interest Reconstruction, Second MICCAI challenge on cranial implant design (AutoImplant2021), Lecture Notes in Computer Science, vol 13123, 116-128, 2021. [Detailed record]
[C19] S. K. R. Nareddula, S. Gorthi, and R. K. S. Gorthi. Fusion-Net: Time-Frequency Information Fusion Y-Network for Speech Enhancement, Proc. Interspeech, Aug 2021, 3360-3364. [Detailed record]
[C18] S. R. Sahu, R. K. S. Gorthi, and S. Gorthi. Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features, in Proceedings of the 28th European Signal Processing Conference (EUSIPCO), 1065-1069, Amsterdam, Netherlands, 2020. [Detailed record] [Full Text]
[C17] J. K. Mandapalli, S. S. Gorthi, R. K. S. Gorthi, and S. Gorthi. Circular fringe projection method for 3D profiling of high dynamic range objects, in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP, 5(96), 849-856, Prague, Czech Republic, 2019. [Detailed record] [Full Text]
[C16] G.E. Spoorthi, S. Gorthi, and RKS Gorthi. A Deep Learning-based Model for Phase Unwrapping. 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018) Hyderabad, India, 2018. [Full Text]
[C15] S. Gorthi, Evaluation of the Effect of Doubling Atlases using Midsagittal Plane on Multi-Atlas based Segmentation of Brain Structures. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2016. [Full Text]
[C14] S. Gorthi and S. Viswanathan, Evaluation of Pairwise and Groupwise Templates-based Approaches for Automated Segmentation of Structures in Brain MR Images. International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, 2016. [Full Text]
[C13] S. Tourer, P. Hagmann, M. Cagneaux, L. Guibaud, S. Gorthi, M. Schaer et al., Automatic brain extraction in fetal MRI using multi-atlas-based segmentation. SPIE Medical Imaging, Orlando, Florida, USA, 2015. [Detailed record] [Full Text]
[C12] S. Gorthi, A. Akhondi-Asl, J.-Ph Thiran, and S. K. Warfield. Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information. MICCAI Workshop on Machine Learning in Medical Imaging, Boston, MA, USA, 2014. [Full Text]
[C11] S. Gorthi, M. Bach Cuadra, J. Villafruela Vicario, P.A. Tercier, J.-Ph. Thiran, and A.S. Allal. Multi-atlas fusion methods for segmentation of head and neck lymph nodes for radiotherapy planning. 2nd ESTRO Forum 2013, Geneva, Switzerland, 2013. [Detailed record]
[C10] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning. IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012. [Detailed record] [Full Text]
[C9] O. Esteban-Sanz, S. Gorthi, G. Wollny, A. Daducci and M. J. Ledesma-Carbayo et al. Brain tissue segmentation on diffusion weighted magnetic resonance data. IEEE International Symposium on Biomedical Imaging (ISBI) 2012, Barcelona, Spain, 2012. [Detailed record]
[C8] T. Kober, A. Roche, O. Esteban-Sanz, S. Gorthi and D. Ribes et al. Atlas-free brain tissue segmentation using a single T1-weighted MRI acquisition. International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, 2012. [Detailed record] [Full Text]
[C7] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling. MICCAI Worskshop on Multi-Atlas Labeling and Statistical Fusion, Toronto, Canada, 2011. [Detailed record] [Full Text]
[C6] S. Gorthi, J.-Ph. Thiran and M. Bach Cuadra. Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. [Detailed record] [Full Text]
[C5] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework. MICCAI workshop on 3D Segmentation Challenge for Clinical Applications, Beijing, China, 2010. [Detailed record] [Full Text]
[C4] S. Gorthi, V. Duay, M. Bach Cuadra, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection. MICCAI workshop on 3D Segmentation Challenge for Clinical Applications, London, 2009. [Detailed record] [Full Text]
[C3] M. Bach Cuadra, S. Gorthi, F. I. Karahanoglu, F. Salvador and A. Pica, H.P. Do, A. Balmer, F. Munier, and J.-Ph. Thiran. Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning. VIPIMAGE, Porto, Portugal, 2009. [Detailed record] [Full Text]
[C2] V. Duay, N. Houhou, S. Gorthi, A. S. Allal and J.-Ph. Thiran. Hierarchical Image Registration with an Active Contour-Based Atlas Registration Model. 16th European Signal Processing Conference, Lausanne, Switzerland, 2008. [Detailed record] [Full Text]
[C1] S. Gorthi, A. Mohanty and A. Chatterjee. MEMS Parallel Plate Actuators: Pull-in, Pull-out and Other Transitions. International Conference on MEMS and Semiconductor Nanotechnology, IIT Kharagpur, India, 2005. [Detailed record] [Full Text]
[C24] S. Vengala, R. K. S. Gorthi and S. Gorthi. Simultaneous Phase Denoising and Unwrapping of MR Images using A New Deep Learning Method, IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May, 2024.
[C23] V. Ravi, K. S. Vengala, S. Gorthi and R. K. S. Gorthi. Lightweight Learning Model for Speckle Denoising in Digital Holography, 8th International Conference on Computer Vision and Image Processing (CVIP), Jammu, India, Nov 2023.
[C22] C. Sindhura, H. V. R. Vengama, and S. Gorthi. Efficient-PSP-Net: A Lightweight Model for the Segmentation of Liver and Tumor in CT Scans, 13th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Gandhinagar, India, Dec 2022.
[C21] P. Lankireddy, C. Sindhura, and S. Gorthi. A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages, 13th MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Singapore, Sep 2022. [Full Text]
[C20] S. Pathak, C. Sindhura, R. K. S. Gorthi, V. K. Degala, and S. Gorthi. Cranial Implant Design Using V-Net Based Region of Interest Reconstruction, Second MICCAI challenge on cranial implant design (AutoImplant2021), Lecture Notes in Computer Science, vol 13123, 116-128, 2021. [Detailed record]
[C19] S. K. R. Nareddula, S. Gorthi, and R. K. S. Gorthi. Fusion-Net: Time-Frequency Information Fusion Y-Network for Speech Enhancement, Proc. Interspeech, Aug 2021, 3360-3364. [Detailed record]
[C18] S. R. Sahu, R. K. S. Gorthi, and S. Gorthi. Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features, in Proceedings of the 28th European Signal Processing Conference (EUSIPCO), 1065-1069, Amsterdam, Netherlands, 2020. [Detailed record] [Full Text]
[C17] J. K. Mandapalli, S. S. Gorthi, R. K. S. Gorthi, and S. Gorthi. Circular fringe projection method for 3D profiling of high dynamic range objects, in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP, 5(96), 849-856, Prague, Czech Republic, 2019. [Detailed record] [Full Text]
[C16] G.E. Spoorthi, S. Gorthi, and RKS Gorthi. A Deep Learning-based Model for Phase Unwrapping. 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018) Hyderabad, India, 2018. [Full Text]
[C15] S. Gorthi, Evaluation of the Effect of Doubling Atlases using Midsagittal Plane on Multi-Atlas based Segmentation of Brain Structures. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2016. [Full Text]
[C14] S. Gorthi and S. Viswanathan, Evaluation of Pairwise and Groupwise Templates-based Approaches for Automated Segmentation of Structures in Brain MR Images. International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, 2016. [Full Text]
[C13] S. Tourer, P. Hagmann, M. Cagneaux, L. Guibaud, S. Gorthi, M. Schaer et al., Automatic brain extraction in fetal MRI using multi-atlas-based segmentation. SPIE Medical Imaging, Orlando, Florida, USA, 2015. [Detailed record] [Full Text]
[C12] S. Gorthi, A. Akhondi-Asl, J.-Ph Thiran, and S. K. Warfield. Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information. MICCAI Workshop on Machine Learning in Medical Imaging, Boston, MA, USA, 2014. [Full Text]
[C11] S. Gorthi, M. Bach Cuadra, J. Villafruela Vicario, P.A. Tercier, J.-Ph. Thiran, and A.S. Allal. Multi-atlas fusion methods for segmentation of head and neck lymph nodes for radiotherapy planning. 2nd ESTRO Forum 2013, Geneva, Switzerland, 2013. [Detailed record]
[C10] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning. IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012. [Detailed record] [Full Text]
[C9] O. Esteban-Sanz, S. Gorthi, G. Wollny, A. Daducci and M. J. Ledesma-Carbayo et al. Brain tissue segmentation on diffusion weighted magnetic resonance data. IEEE International Symposium on Biomedical Imaging (ISBI) 2012, Barcelona, Spain, 2012. [Detailed record]
[C8] T. Kober, A. Roche, O. Esteban-Sanz, S. Gorthi and D. Ribes et al. Atlas-free brain tissue segmentation using a single T1-weighted MRI acquisition. International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, 2012. [Detailed record] [Full Text]
[C7] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling. MICCAI Worskshop on Multi-Atlas Labeling and Statistical Fusion, Toronto, Canada, 2011. [Detailed record] [Full Text]
[C6] S. Gorthi, J.-Ph. Thiran and M. Bach Cuadra. Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. [Detailed record] [Full Text]
[C5] S. Gorthi, M. Bach Cuadra, U. Schick, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework. MICCAI workshop on 3D Segmentation Challenge for Clinical Applications, Beijing, China, 2010. [Detailed record] [Full Text]
[C4] S. Gorthi, V. Duay, M. Bach Cuadra, P.-A. Tercier and A. S. Allal, and J.-Ph. Thiran. Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection. MICCAI workshop on 3D Segmentation Challenge for Clinical Applications, London, 2009. [Detailed record] [Full Text]
[C3] M. Bach Cuadra, S. Gorthi, F. I. Karahanoglu, F. Salvador and A. Pica, H.P. Do, A. Balmer, F. Munier, and J.-Ph. Thiran. Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning. VIPIMAGE, Porto, Portugal, 2009. [Detailed record] [Full Text]
[C2] V. Duay, N. Houhou, S. Gorthi, A. S. Allal and J.-Ph. Thiran. Hierarchical Image Registration with an Active Contour-Based Atlas Registration Model. 16th European Signal Processing Conference, Lausanne, Switzerland, 2008. [Detailed record] [Full Text]
[C1] S. Gorthi, A. Mohanty and A. Chatterjee. MEMS Parallel Plate Actuators: Pull-in, Pull-out and Other Transitions. International Conference on MEMS and Semiconductor Nanotechnology, IIT Kharagpur, India, 2005. [Detailed record] [Full Text]
Book Chapters:
[B1] M. Bach Cuadra, S. Gorthi, F. I. Karahanoglu, B. Paquier and A. Pica et al. Model-based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning, in Computational Vision and Medical Image Processing, Computational Methods in Applied Sciences 19, 2011, Springer 2011. [Detailed record] [Full Text]
PhD Thesis:
S. Gorthi, J.-P. Thiran (Dir.). Multi Atlas Fusion Methods for Medical Image Segmentation. EPFL, Lausanne, 2013. [Detailed record] [Full Text]
Masters Thesis:
S. Gorthi, A. Mohanty (Dir.). Characterization of MEMS Electrostatic Actuators Beyond Pull-In. IISc, Bangalore, 2006. [Detailed record] [Full Text]
Technical Reports:
[T1] S. Gorthi, A. Le Carvennec, H. Copponnex, X. Bresson and J.-Ph. Thiran. GPU-accelerated Convex Multi-phase Image Segmentation, 2011. [Detailed record] [Full Text]
Other Presentations:
[P2] A. Pica, F. I. Karahanoglu, A.-R. Ciurte, S. Gorthi and A. Balmer et al. 3D Ultrasound Tumor Segmentation and Fusion with CT for Stereotactic Radiation Therapy Planning of Retinoblastoma. 10th Biennial Congress and Exhibition of the International Stereotactic Radio surgery Society, Paris, France, 2011. [Detailed record]
[P1] S. Gorthi, M. Bach Cuadra and J.-P. Thiran. Exporting Contours to DICOM-RTSTRUCT. Kitware Newsletter, 2010. [Detailed record] [Full Text]
[P1] S. Gorthi, M. Bach Cuadra and J.-P. Thiran. Exporting Contours to DICOM-RTSTRUCT. Kitware Newsletter, 2010. [Detailed record] [Full Text]