Sanjay Talbar
Sanjay Talbar
Shri Guru Gobind Singhji Institute of Engineering & Technology, Nanded
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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
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
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
Independent component analysis of edge information for face recognition
KJ Karande, SN Talbar
Springer India, 2014
Motion estimation techniques for digital video coding
S Metkar, S Talbar
Springer 1, 16, 2013
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
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
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, 10, 2020
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, ...
International MICCAI Brainlesion Workshop, 369-379, 2018
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
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
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
Face recognition under variation of pose and illumination using independent component analysis
KJ Karande, SN Talbar
ICGST-GVIP, ISSN, 1-6, 2008
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, 61, 2020
Content based image retrieval using various distance metrics
S Patil, S Talbar
International Conference on Data Engineering and Management, 154-161, 2010
Deep deconvolutional residual network based automatic lung nodule segmentation
G Singadkar, A Mahajan, M Thakur, S Talbar
Journal of digital imaging 33 (3), 678-684, 2020
Dynamic iris localisation: A novel approach suitable for fake iris detection
R Bodade, S Talbar
2009 International Conference on Ultra Modern Telecommunications & Workshops …, 2009
Semantic scene segmentation in unstructured environment with modified DeepLabV3+
B Baheti, S Innani, S Gajre, S Talbar
Pattern Recognition Letters 138, 223-229, 2020
Local entropy maximization based image fusion for contrast enhancement of mammogram
M Pawar, S Talbar
Journal of King Saud University-Computer and Information Sciences 33 (2 …, 2021
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
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