Sayan Kahali

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Jamuna Kanta SingProfessor, Department of Computer Science & Engineering, Jadavpur University, Kolkata, IndiaAdresse e-mail validée de ieee.org
Dr. Sudip Kumar AdhikariAssistant Professor of Dept. of Computer Sc. & Engg., Cooch Behar Government Engineering CollegeAdresse e-mail validée de ieee.org
Dmitriy YablonskiyWashington University in St. LouisAdresse e-mail validée de wustl.edu
Ulugbek S. KamilovAssociate Professor, ESE and CSE, Washington UniversityAdresse e-mail validée de wustl.edu
Satya V.V.N. KothapalliStaff Scientist at Washington University School of MedicineAdresse e-mail validée de wustl.edu
Jiaming LiuPhD student in ESE, WUSTLAdresse e-mail validée de wustl.edu
Xiaojian Xu (许晓健)Postdoc @ University of Michigan, PhD in CS @ Washington University in St. LouisAdresse e-mail validée de wustl.edu
Punam Kumar SahaProfessor, University of IowaAdresse e-mail validée de uiowa.edu
Yu Sun (孙彧)Postdoc@Caltech, Ph.D.@WUSTLAdresse e-mail validée de caltech.edu
Max ToropPhD Student, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Marcus E. RaichleThe Alan and Edith Wolff Distinguished Professor in MedicineAdresse e-mail validée de npg.wustl.edu
Dr. Arpan PalDistinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCSAdresse e-mail validée de tcs.com
Dr. Manan SuriIndian Institute of Technology - DelhiAdresse e-mail validée de ee.iitd.ac.in
Sounak DeySenior Scientist, TCS Research, Tata Consultancy Services Ltd.Adresse e-mail validée de tcs.com
Arijit MukherjeePrincipal Scientist, Embedded Devices & Intelligent Systems, TCS Research, Tata ConsultancyAdresse e-mail validée de tcs.com
Chetan KadwayML Researcher, Embedded Devices & Intelligent Systems, TCS Research LabAdresse e-mail validée de tcs.com

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Sayan Kahali

TCS Research and Innovation Lab, Kolkata

Adresse e-mail validée de ieee.org

Brain Science Computer Vision Machine Learning Resting State fMRI Spiking Neural Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	56	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	36	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	34	2019
Deep learning and transfer learning for malaria detection T Jameela, K Athota, N Singh, VK Gunjan, S Kahali Computational intelligence and neuroscience 2022, 2022	24	2022
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	17	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	16	2016
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	11	2022
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	10	2023
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	10	2021
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	8	2022
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
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	6	2017
3D MRI Brain Image Segmentation: A Two-Stage Framework S Kahali, SK Adhikari, JK Sing First International Conference on Computational Intelligence, Communications …, 2017	3	2017
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	2	2024
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	2	2023
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 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	1	2018
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

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