Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1971 | 2018 |
Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs S Chandra, I Kokkinos Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 237 | 2016 |
Learning to generate synthetic data via compositing S Tripathi, S Chandra, A Agrawal, A Tyagi, JM Rehg, V Chari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 147 | 2019 |
Synergistic effect of phosphate solubilizing rhizobacteria and arbuscular mycorrhiza on growth and yield of wheat plants J Saxena, S Chandra, L Nain Journal of soil science and plant nutrition 13 (2), 511-525, 2013 | 138 | 2013 |
Box2seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation V Kulharia, S Chandra, A Agrawal, P Torr, A Tyagi European Conference on Computer Vision, 290-308, 2020 | 110 | 2020 |
Dense and low-rank gaussian crfs using deep embeddings S Chandra, N Usunier, I Kokkinos Proceedings of the IEEE international conference on computer vision, 5103-5112, 2017 | 108 | 2017 |
Deep spatio-temporal random fields for efficient video segmentation S Chandra, C Couprie, I Kokkinos Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 91 | 2018 |
Deep learning-based concurrent brain registration and tumor segmentation T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ... Frontiers in computational neuroscience 14, 17, 2020 | 54 | 2020 |
Context aware 3D CNNs for brain tumor segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 45 | 2019 |
Smartphone camera based assessment of adiposity: a validation study MD Majmudar, S Chandra, K Yakkala, S Kennedy, A Agrawal, M Sippel, ... NPJ Digital Medicine 5 (1), 79, 2022 | 40 | 2022 |
Accurate human-limb segmentation in RGB-D images for intelligent mobility assistance robots S Chandra, S Tsogkas, I Kokkinos Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 22 | 2015 |
Human joint angle estimation and gesture recognition for assistive robotic vision A Guler, N Kardaris, S Chandra, V Pitsikalis, C Werner, K Hauer, ... Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 19 | 2016 |
Learning multiple non-linear sub-spaces using k-rbms S Chandra, S Kumar, CV Jawahar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 14 | 2013 |
Generation of synthetic image data for computer vision models A Tyagi, AK Agrawal, S Chandra, VUK Chari, S Tripathi, J Rehg US Patent 10,860,836, 2020 | 13 | 2020 |
Structured output prediction and learning for deep monocular 3d human pose estimation S Kinauer, RA Güler, S Chandra, I Kokkinos International Workshop on Energy Minimization Methods in Computer Vision and …, 2017 | 10 | 2017 |
Learning hierarchical bag of words using naive bayes clustering S Chandra, S Kumar, CV Jawahar Asian Conference on Computer Vision, 382-395, 2012 | 9 | 2012 |
Sparse discriminative Fisher vectors in visual classification V Garg, S Chandra, CV Jawahar Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012 | 8 | 2012 |
Qualitative phytochemical analysis of flowers of Cassia fistula L S Chandra, N Jena, S Marndi, S Kumar Medico Biowealth of India 16, 19-27, 2024 | 7 | 2024 |
Simulation and testing of induction motor faults in MATLAB for online condition monitoring SR Chandra, GS Ayyappan, K Srinivas, D Ganesh IUP Journal of Electrical and Electronics Engineering 9 (2), 7, 2016 | 7 | 2016 |
Smartphone camera based assessment of adiposity: a multi-site validation study MD Majmudar, S Chandra, S Kennedy, A Agrawal, M Sippel, P Ramu, ... medRxiv, 2021.06. 10.21258595, 2021 | 5 | 2021 |