| Local Contextual Information and Gaussian Function Induced Fuzzy Clustering Algorithm for Brain MR Image Segmentation and Intensity Inhomogeneity Estimation N Mahata, S Kahali, SK Adhikari, JK Sing Applied Soft Computing 68 (2018), 586-596, 2018 | 51 | 2018 |
| A Two-Stage Fuzzy Multi-Objective Framework for Segmentation of 3D MRI Brain Image Data S Kahali, SK Adhikari, JK Sing Applied Soft Computing 60 (2017), 312-327, 2017 | 34 | 2017 |
| A new entropy-based approach for fuzzy c-means clustering and its application to brain MR image segmentation S Kahali, JK Sing, PK Saha Soft Computing 23, 10407-10414, 2019 | 21 | 2019 |
| Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... Magnetic resonance in medicine 84 (6), 2932-2942, 2020 | 16 | 2020 |
| On estimation of bias field in MRI images: polynomial vs Gaussian surface fitting method S Kahali, SK Adhikari, JK Sing Journal of Chemometrics 30 (10), 602-620, 2016 | 15 | 2016 |
| Deep learning and transfer learning for malaria detection T Jameela, K Athotha, N Singh, VK Gunjan, S Kahali Computational Intelligence and Neuroscience 2022, 2022 | 8 | 2022 |
| The Role of the Human Brain Neuron–Glia–Synapse Composition in Forming Resting-State Functional Connectivity Networks S Kahali, ME Raichle, DA Yablonskiy Brain Sciences 11 (12), 1565, 2021 | 6 | 2021 |
| On estimation of bias field in MRI images S Kahali, SK Adhikari, JK Sing IEEE International Conference on Computer Graphics, Vision and Information …, 2015 | 6* | 2015 |
| Convolution of 3D Gaussian surfaces for volumetric intensity inhomogeneity estimation and correction in 3D brain MR image data S Kahali, SK Adhikari, JK Sing IET Computer Vision 12 (3), 288-297, 2017 | 5 | 2017 |
| Learning‐based motion artifact removal networks for quantitative mapping X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ... Magnetic resonance in medicine 88 (1), 106-119, 2022 | 4 | 2022 |
| 3D MRI Brain Image Segmentation: A Two-Stage Framework S Kahali, SK Adhikari, JK Sing First International Conference on Computational Intelligence, Communications …, 2017 | 4 | 2017 |
| Type-2 fuzzy blended improved DS evidence theory based decision fusion for face recognition M Ghosh, A Dey, S Kahali Applied Soft Computing 125, 109179, 2022 | 3 | 2022 |
| Deep‐Learning‐Based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure … S Kahali, SVVN Kothapalli, X Xu, US Kamilov, DA Yablonskiy NMR in Biomedicine, e4883, 2021 | 1 | 2021 |
| Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative Mapping X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ... arXiv preprint arXiv:2109.01622, 2021 | 1 | 2021 |
| A new fuzzy clustering algorithm for brain mr image segmentation using gaussian probabilistic and entropy-based likelihood measures S Kahali, JK Sing, PK Saha 2018 international conference on communication, computing and internet of …, 2018 | 1 | 2018 |
| A fuzzy clustering algorithm with local contextual information and Gaussian function for simultaneous brain MR image segmentation and intensity inhomogeneity estimation N Mahata, S Kahali, JK Sing, SK Adhikari 2017 2nd International conference on man and machine interfacing (MAMI), 1-6, 2017 | 1 | 2017 |
| Image Inpainting Based On Segmentation For Relevant Patch Selection S Kahali, M Ghorai, SS Thakur Proc. International Conference Computer Comm. Manuf, 22-28, 2014 | 1 | 2014 |
| A deep-learning-based facial expression recognition method using textural features M Mukhopadhyay, A Dey, S Kahali Neural Computing and Applications 35 (9), 6499-6514, 2023 | | 2023 |
| Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative R Mapping X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ... arXiv preprint arXiv:2109.01622, 2021 | | 2021 |
| The Role of the Human Brain Neuron–Glia–Synapse Composition in Forming Resting-State Functional Connectivity Networks. Brain Sci. 2021, 11, 1565 S Kahali, ME Raichle, DA Yablonskiy s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Jamuna Kanta SingProfessor, Department of Computer Science & Engineering, Jadavpur University, Kolkata, IndiaVerified email at ieee.org
