Követés
Sayan Kahali
Sayan Kahali
TCS Research and Innovation Lab, Kolkata
E-mail megerősítve itt: ieee.org
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
622018
Deep learning and transfer learning for malaria detection
T Jameela, K Athota, N Singh, VK Gunjan, S Kahali
Computational intelligence and neuroscience 2022 (1), 2221728, 2022
412022
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
372019
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
362017
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
232023
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
202020
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
162022
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
162016
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
152021
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
142022
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
72017
On estimation of bias field in MRI images
S Kahali, SK Adhikari, JK Sing
IEEE International Conference on Computer Graphics, Vision and Information …, 2015
7*2015
A weighted fuzzy belief factor-based DS evidence theory of sensor data fusion method and its application to face recognition
M Ghosh, A Dey, S Kahali
Multimedia Tools and Applications 83 (4), 10637-10659, 2024
42024
3D MRI Brain Image Segmentation: A Two-Stage Framework
S Kahali, SK Adhikari, JK Sing
First International Conference on Computational Intelligence, Communications …, 2017
32017
Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human …
S Kahali, SVVN Kothapalli, X Xu, US Kamilov, DA Yablonskiy
NMR in Biomedicine 36 (5), e4883, 2023
22023
Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network
S Kahali, S Dey, C Kadway, A Mukherjee, A Pal, M Suri
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
12023
T2-fuzzy multi-fused facial image fusion (T2FMFI mgF): An efficient face recognition
A Dey, M Ghosh, S Chowdhury, S Kahali
Journal of Intelligent & Fuzzy Systems 45 (1), 743-761, 2023
12023
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
12021
A New Fuzzy Clustering Algorithm Using Uncertainty-based Entropy for Brain MR Image Segmentation
N Mahata, R Patra, S Kahali, JK Sing
2018 International Conference on Applied Electromagnetics, Signal Processing …, 2018
12018
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
12018
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Cikkek 1–20