Sanjay Talbar

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Ujjwal BaidAssistant Professor, School of Medicine, Indiana University, IN, USAVerifierad e-postadress på iu.edu
Bhakti BahetiAssistant research professor, Indiana UniversityVerifierad e-postadress på iu.edu
Abhishek MahajanConsultant Radiologist (The Clatterbridge Cancer Centre, Liverpool), Hon Sen Lec, UOLVerifierad e-postadress på nhs.net
Satishkumar ChavanSVKM's Dwarkadas J. Sanghvi College of Engineering, Vile Parle, MumbaiVerifierad e-postadress på djsce.ac.in
Dr Kailash J KarandePrincipal at SKN Sinhgad College of Engineering PandharpurVerifierad e-postadress på sknscoe.ac.in
Gandhamal Akash Pandurang, PhDSenior Scientist, United Imaging HealthcareVerifierad e-postadress på sggs.ac.in
S. O. RajankarProfessor of Electronics and Telecommunication,Savitribai Phule Pune UniversityVerifierad e-postadress på sinhgad.edu
Meenakshi PawarAssociate Professor, SVERI COE, PandharpurVerifierad e-postadress på coe.sveri.ac.in
Dileep KumarDirector, Research & Scientific Collaborations, United Imaging HealthcareVerifierad e-postadress på petronas.com.my
Dr. Shilpa MetkarAssistant Professor in Electronics EngineeringVerifierad e-postadress på coep.ac.in
pankaj landeRajaram CollegeVerifierad e-postadress på gov.in
Satishkumar L. VarmaProfessor & Head, Information Technology, Pillai College of Engineering, New Panvel - 410206Verifierad e-postadress på mes.ac.in
Swati PawarSVERI's College of Engineering PandharpurVerifierad e-postadress på coe.sveri.ac.in
Dr. Archana H SableAsstt. Prof,S.R.T.M.University,NandedVerifierad e-postadress på srtmun.ac.in
Akshay DudhaneResearch Scientist, MBZUAI. PhD IIT RoparVerifierad e-postadress på mbzuai.ac.ae
Dr Sanjay PatilDr. Daulatrao Aher College of Engineering, Karad, MS, ProfessorVerifierad e-postadress på dacoe.ac.in
Dr. Anant M. BagadeAssociate Professor, Pune Institute of Computer TechnologyVerifierad e-postadress på pict.edu
Pramod VasambekarDepartment of Electronics, Shivaji University, Kolhapur - 416 004 (India)Verifierad e-postadress på unishivaji.ac.in
Maheshkumar H KolekarIndian Institute of Technology (IIT), PatnaVerifierad e-postadress på iitp.ac.in
Dr. Yogesh Babaraoji ThakareDept of E&TC PVGs COET and GKP(W)IM Pune

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Sanjay Talbar

Pimpri Chinchwad College of Engineering, Pune

Verifierad e-postadress på sggs.ac.in

Deep Learning Computer Vision Medical Image Processing Biometrics Embedded System Design


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	1787	2018
Eff-unet: A novel architecture for semantic segmentation in unstructured environment B Baheti, S Innani, S Gajre, S Talbar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	225	2020
Detection of distracted driver using convolutional neural network B Baheti, S Gajre, S Talbar Proceedings of the IEEE conference on computer vision and pattern …, 2018	164	2018
Brain tumor segmentation using cascaded deep convolutional neural network S Hussain, SM Anwar, M Majid 2017 39th annual International Conference of the IEEE engineering in …, 2017	150	2017
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ... IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021	114	2021
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images DT Kushnure, SN Talbar Computerized Medical Imaging and Graphics 89, 101885, 2021	96	2021
A novel approach for fully automatic intra-tumor segmentation with 3D U-Net architecture for gliomas U Baid, S Talbar, S Rane, S Gupta, MH Thakur, A Moiyadi, N Sable, ... Frontiers in computational neuroscience 14, 10, 2020	87	2020
Overall survival prediction in glioblastoma with radiomic features using machine learning U Baid, SU Rane, S Talbar, S Gupta, MH Thakur, A Moiyadi, A Mahajan Frontiers in computational neuroscience 14, 61, 2020	85	2020
Local gray level S-curve transformation–a generalized contrast enhancement technique for medical images A Gandhamal, S Talbar, S Gajre, AFM Hani, D Kumar Computers in biology and medicine 83, 120-133, 2017	83	2017
Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis SS Chavan, A Mahajan, SN Talbar, S Desai, M Thakur, A D'cruz Computers in biology and medicine 81, 64-78, 2017	78	2017
Semantic scene segmentation in unstructured environment with modified DeepLabV3+ B Baheti, S Innani, S Gajre, S Talbar Pattern Recognition Letters 138, 223-229, 2020	77	2020
Deep deconvolutional residual network based automatic lung nodule segmentation G Singadkar, A Mahajan, M Thakur, S Talbar Journal of digital imaging 33, 678-684, 2020	71	2020
Independent component analysis of edge information for face recognition KJ Karande, SN Talbar Springer India, 2014	71	2014
Motion estimation techniques for digital video coding S Metkar, S Talbar Springer, 2013	69	2013
Deep learning radiomics algorithm for gliomas (drag) model: a novel approach using 3d unet based deep convolutional neural network for predicting survival in gliomas U Baid, S Talbar, S Rane, S Gupta, MH Thakur, A Moiyadi, S Thakur, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019	66	2019
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training S Thakur, J Doshi, S Pati, S Rathore, C Sako, M Bilello, SM Ha, G Shukla, ... NeuroImage 220, 117081, 2020	63	2020
Towards computationally efficient and realtime distracted driver detection with mobilevgg network B Baheti, S Talbar, S Gajre IEEE Transactions on Intelligent Vehicles 5 (4), 565-574, 2020	62	2020
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation P Dutande, U Baid, S Talbar Biomedical signal processing and control 67, 102527, 2021	61	2021
Genetic fuzzy system (GFS) based wavelet co-occurrence feature selection in mammogram classification for breast cancer diagnosis MM Pawar, SN Talbar Perspectives in Science 8, 247-250, 2016	53	2016
Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net P Hambarde, S Talbar, A Mahajan, S Chavan, M Thakur, N Sable Biocybernetics and Biomedical Engineering 40 (4), 1421-1435, 2020	50	2020

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