| A statistical model for smooth shapes in Kendall shape space AV Gaikwad, SJ Shigwan, SP Awate Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 7 | 2015 |
| Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies S Aja-Fernández, C Martín-Martín, Á Planchuelo-Gómez, A Faiyaz, ... NeuroImage: Clinical 39, 103483, 2023 | 6 | 2023 |
| Hierarchical generative modeling and Monte-Carlo EM in Riemannian shape space for hypothesis testing SJ Shigwan, SP Awate Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 4 | 2016 |
| Object segmentation with deep neural nets coupled with a shape prior, when learning from a training set of limited quality and small size SJ Shigwan, AV Gaikwad, SP Awate 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1149-1153, 2020 | 3 | 2020 |
| SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data A Tiwari, RK Singh, SJ Shigwan Neural Computing and Applications 36 (6), 3179-3196, 2024 | 1 | 2024 |
| Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures A Tiwari, A Singhal, SJ Shigwan, RK Singh Asian Conference on Machine Learning, 1369-1384, 2024 | | 2024 |
| Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia A Tiwari, A Singhal, SJ Shigwan, RK Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Sampling shapes for learning statistical shape models using expectation maximization S Shigwan Indian Institute of Technology Bombay Mumbai 400076 (India, 2015 | | 2015 |
| Hierarchical pointset based statistical shape modeling and applications S Shigwan Mumbai, 0 | | |
Suyash P. AwateChair Professor of Computer Science and Engineering, Indian Institute of Technology (IIT) BombayVerified email at cse.iitb.ac.in
