Sanjay N. Talbar
Orcid: 0000-0002-0111-4910Affiliations:
- Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India
According to our database1,
Sanjay N. Talbar
authored at least 70 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
Int. J. Imaging Syst. Technol., September, 2023
An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation.
Comput. Medical Imaging Graph., September, 2023
Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach.
Int. J. Imaging Syst. Technol., May, 2023
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module.
Biomed. Signal Process. Control., 2023
LiM-Net: Lightweight multi-level multiscale network with deep residual learning for automatic liver segmentation in CT images.
Biomed. Signal Process. Control., 2023
2022
HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Comput. Methods Programs Biomed., 2022
CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022
2021
IEEE Trans. Medical Imaging, 2021
Deep multi-feature learning architecture for water body segmentation from satellite images.
J. Vis. Commun. Image Represent., 2021
Automatic lung segmentation for the inclusion of juxtapleural nodules and pulmonary vessels using curvature based border correction.
J. King Saud Univ. Comput. Inf. Sci., 2021
J. King Saud Univ. Comput. Inf. Sci., 2021
Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image.
Int. J. E Health Medical Commun., 2021
Int. J. Comput. Sci. Eng., 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images.
Comput. Medical Imaging Graph., 2021
Biomed. Signal Process. Control., 2021
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation.
Biomed. Signal Process. Control., 2021
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
MFCA-Net: Multiscale Feature Fusion with Channel-Wise Attention Network for Automatic Liver Segmentation from CT Images.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021
2020
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network.
IEEE Trans. Intell. Veh., 2020
Pattern Recognit. Lett., 2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
NeuroImage, 2020
J. Digit. Imaging, 2020
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas.
Frontiers Comput. Neurosci., 2020
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning.
Frontiers Comput. Neurosci., 2020
Hybridizing Convolution Neural Networks to Improve the Accuracy of Plant Leaf Disease Classification.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
2019
Signal Image Video Process., 2019
Recognition of plastic surgery faces and the surgery types: An approach with entropy based scale invariant features.
J. King Saud Univ. Comput. Inf. Sci., 2019
ACM Comput. Surv., 2019
Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging.
Biomed. Signal Process. Control., 2019
Adaptive GLOH with PSO-trained NN for the recognition of plastic surgery faces and their types.
Bio Algorithms Med Syst., 2019
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks.
Proceedings of the TENCON 2019, 2019
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network.
Proceedings of the TENCON 2019, 2019
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
Comput. Methods Programs Biomed., 2018
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative.
Comput. Biol. Medicine, 2017
Local gray level S-curve transformation - A generalized contrast enhancement technique for medical images.
Comput. Biol. Medicine, 2017
Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis.
Comput. Biol. Medicine, 2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Brain Tumor Segmentation Based on Non Negative Matrix Factorization and Fuzzy Clustering.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
A quality-on-demand electrocardiogram signal compression using modified set partitioning in hierarchical tree.
Signal Image Video Process., 2016
2015
Multimodality Medical Image Fusion using M-Band Wavelet and Daubechies Complex Wavelet Transform for Radiation Therapy.
Int. J. Rough Sets Data Anal., 2015
Int. J. Comput. Vis. Robotics, 2015
2014
Int. J. Inf. Comput. Secur., 2014
2012
Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA).
Proceedings of the 2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP), 2012
2010
Fast motion estimation using modified orthogonal search algorithm for video compression.
Signal Image Video Process., 2010
Proceedings of the ICWET '10 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 26, 2010
Proceedings of the Information and Communication Technologies - International Conference, 2010
Biomedical Image Coding Using Dual Tree Discrete Wavelet Transform and Iterative Projection.
Proceedings of the Information and Communication Technologies - International Conference, 2010
Proceedings of the 3rd International Conference on Emerging Trends in Engineering and Technology, 2010
Proceedings of the Data Engineering and Management - Second International Conference, 2010
2009
Segmentation for Iris Localisation: A Novel Approach Suitable for Fake Iris Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009
Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009
Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009
Iris Recognition Using Combination of Dual Tree Rotated Complex Wavelet and Dual Tree Complex Wavelet.
Proceedings of IEEE International Conference on Communications, 2009
Shift Invariant Iris Feature Extraction Using Rotated Complex Wavelet and Complex Wavelet for Iris Recognition System.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009