Sanjay Talbar

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Ujjwal Baid, Ph.D.Assistant Professor, School of Medicine, Indiana University, IN, USAEmail verificata su iu.edu
Bhakti BahetiAssistant Professor, Emory UniversityEmail verificata su emory.edu
Abhishek MahajanConsultant Radiologist (The Clatterbridge Cancer Centre, Liverpool), Hon Sen Lec, UOLEmail verificata su nhs.net
Satishkumar ChavanSVKM's Dwarkadas J. Sanghvi College of Engineering, Vile Parle, MumbaiEmail verificata su djsce.ac.in
Dr Kailash J KarandeSKN Sinhgad College of Engineering Korti PandharpurEmail verificata su sknscoe.ac.in
S. O. RajankarProfessor of Electronics and Telecommunication,Savitribai Phule Pune UniversityEmail verificata su sinhgad.edu
Gandhamal Akash Pandurang, PhDSenior Scientist, United Imaging HealthcareEmail verificata su sggs.ac.in
Meenakshi PawarAssociate Professor, SVERI COE, PandharpurEmail verificata su coe.sveri.ac.in
Dileep KumarDirector, Research & Scientific Collaborations, United Imaging HealthcareEmail verificata su petronas.com.my
Dr. Shilpa MetkarAssistant Professor in Electronics EngineeringEmail verificata su coep.ac.in
Swati PawarSVERI's College of Engineering PandharpurEmail verificata su coe.sveri.ac.in
pankaj landeRajaram CollegeEmail verificata su gov.in
Satishkumar L. VarmaAssociate Professor, Information Technology, DJSCE, Vile Parle - 4000056Email verificata su djsce.ac.in
Dr. Archana H SableAsstt. Prof,S.R.T.M.University,NandedEmail verificata su srtmun.ac.in
Akshay DudhaneResearch Scientist, MBZUAI. PhD IIT RoparEmail verificata su mbzuai.ac.ae
Dr Sanjay PatilDr. Daulatrao Aher College of Engineering, Karad, MS, ProfessorEmail verificata su dacoe.ac.in
Dr. Anant M. BagadeAssociate Professor, Pune Institute of Computer TechnologyEmail verificata su pict.edu
Pramod VasambekarDepartment of Electronics, Shivaji University, Kolhapur - 416 004 (India)Email verificata su unishivaji.ac.in
Vijaykumar PawarProfessor in Electronics & Telecommunication EngineeringEmail verificata su acpce.ac.in
Maheshkumar H KolekarIndian Institute of Technology (IIT), PatnaEmail verificata su iitp.ac.in

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Sanjay Talbar

Pimpri Chinchwad College of Engineering, Pune

Email verificata su sggs.ac.in

Deep Learning Computer Vision Medical Image Processing Biometrics Embedded System Design


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2052	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	269	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	186	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	165	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	149	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	117	2021
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	111	2020
Semantic scene segmentation in unstructured environment with modified DeepLabV3+ B Baheti, S Innani, S Gajre, S Talbar Pattern Recognition Letters 138, 223-229, 2020	104	2020
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	94	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	87	2017
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	85	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	84	2020
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	80	2020
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	77	2017
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	75	2021
Motion estimation techniques for digital video coding S Metkar, S Talbar Springer, 2013	72	2013
Independent component analysis of edge information for face recognition KJ Karande, SN Talbar Springer India, 2014	71	2014
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	70	2019
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	57	2020
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	56	2016

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