Sanjay Talbar
Sanjay Talbar
Pimpri Chinchwad College of Engineering, Pune
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Cited by
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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
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
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
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
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
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
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
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 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
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
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
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, 2013
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
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
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
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
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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