| PhaseNet: A deep convolutional neural network for two-dimensional phase unwrapping GE Spoorthi, S Gorthi, RKSS Gorthi IEEE Signal Processing Letters 26 (1), 54-58, 2018 | 233 | 2018 |
| PhaseNet 2.0: Phase unwrapping of noisy data based on deep learning approach GE Spoorthi, RKSS Gorthi, S Gorthi IEEE transactions on image processing 29, 4862-4872, 2020 | 157 | 2020 |
| Cantilever beam electrostatic MEMS actuators beyond pull-in S Gorthi, A Mohanty, A Chatterjee Journal of Micromechanics and Microengineering 16 (9), 1800, 2006 | 104 | 2006 |
| Segmentation of head and neck lymph node regions for radiotherapy planning using active contour-based atlas registration S Gorthi, V Duay, N Houhou, MB Cuadra, U Schick, M Becker, AS Allal, ... IEEE Journal of selected topics in signal processing 3 (1), 135-147, 2009 | 73 | 2009 |
| In situ detection of welding defects: A review AS Madhvacharyula, AVS Pavan, S Gorthi, S Chitral, N Venkaiah, ... Welding in the World 66 (4), 611-628, 2022 | 48 | 2022 |
| End-to-end deep learning-based fringe projection framework for 3D profiling of objects RC Machineni, GE Spoorthi, KS Vengala, S Gorthi, RKSS Gorthi Computer vision and image understanding 199, 103023, 2020 | 35 | 2020 |
| Automatic brain extraction in fetal MRI using multi-atlas-based segmentation S Tourbier, P Hagmann, M Cagneaux, L Guibaud, S Gorthi, M Schaer, ... Medical Imaging 2015: Image Processing 9413, 248-254, 2015 | 33 | 2015 |
| Active deformation fields: dense deformation field estimation for atlas-based segmentation using the active contour framework S Gorthi, V Duay, X Bresson, MB Cuadra, FJS Castro, C Pollo, AS Allal, ... Medical image analysis 15 (6), 787-800, 2011 | 31 | 2011 |
| Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation S Gorthi, M Bach Cuadra, P Tercier, AS Allal, JP Thiran IEEE Signal Processing Letters 20 (11), 1036-1039, 2013 | 18 | 2013 |
| Exporting Contours to DICOM-RT Structure Set S Gorthi, M Bach Cuadra, JP Thiran Insight Journal 1, 2009 | 16 | 2009 |
| Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ... Medical Image Analysis 88, 102865, 2023 | 15 | 2023 |
| Model-Based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning MB Cuadra, S Gorthi, FI Karahanoglu, B Paquier, A Pica, HP Do, ... Computational Vision and Medical Image Processing, 247-263, 2011 | 13 | 2011 |
| Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework S Gorthi, M Bach Cuadra, U Schick, PA Tercier, AS Allal, JP Thiran MICCAI workshop on 3D Segmentation Challenge for Clinical Applications, 2010 | 11 | 2010 |
| Cranial implant design using v-net based region of interest reconstruction S Pathak, C Sindhura, RKSS Gorthi, DV Kiran, S Gorthi Towards the Automatization of Cranial Implant Design in Cranioplasty II …, 2021 | 9 | 2021 |
| Active contour-based segmentation of head and neck with adaptive atlas selection S Gorthi, V Duay, M Bach Cuadra, PA Tercier, AS Allal, JP Thiran MICCAI workshop on 3D segmentation challenge for clinical applications, 2009 | 9 | 2009 |
| A deep learning-based model for phase unwrapping GE Spoorthi, S Gorthi, RKS Gorthi Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018 | 6 | 2018 |
| Single-shot circular fringe projection for the profiling of objects having surface discontinuities JK Mandapalli, V Ravi, SS Gorthi, S Gorthi, RK Gorthi JOSA A 38 (10), 1471-1482, 2021 | 5 | 2021 |
| Optimal MAP parameters estimation in STAPLE using local intensity similarity information S Gorthi, A Akhondi-Asl, SK Warfield IEEE journal of biomedical and health informatics 19 (5), 1589-1597, 2015 | 5 | 2015 |
| Optimal map parameters estimation in staple-learning from performance parameters versus image similarity information S Gorthi, A Akhondi-Asl, JP Thiran, SK Warfield Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014 …, 2014 | 5 | 2014 |
| MBIS: Multivariate Bayesian Image Segmentation Tool O Esteban, G Wollny, S Gorthi, MJ Ledesma-Carbayo, JP Thiran, ... Computer Methods and Programs in Biomedicine 115 (2), 76-94, 2014 | 4 | 2014 |
Jean-Philippe ThiranEcole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
