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Jayant Jagtap
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2020 – today
- 2024
- [j17]Vanita Agrawal
, Jayant Jagtap
An Overview of Hand-Drawn Diagram Recognition Methods and Applications. IEEE Access 12: 19739-19751 (2024) - [j16]Vanita Agrawal
Corrections to "An Overview of Hand-Drawn Diagram Recognition Methods and Applications". IEEE Access 12: 162668 (2024) - [j15]Vanita Agrawal, Jayant Jagtap
Exploration of advancements in handwritten document recognition techniques. Intell. Syst. Appl. 22: 200358 (2024) - [j14]Khushi Gupta, Shrey Aggarwal, Avinash Jha, Aamir Habib, Jayant Jagtap, Shrikrishna Kolhar, Shruti Patil, Ketan Kotecha, Tanupriya Choudhury:
Deep Learning Framework for Liver Tumor Segmentation. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - 2023
- [j13]Himali Ghorpade, Jayant Jagtap
Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. IEEE Access 11: 108727-108745 (2023) - [j12]Shrikrishna Kolhar
Phenomics for Komatsuna plant growth tracking using deep learning approach. Expert Syst. Appl. 215: 119368 (2023) - 2022
- [j11]Sonal Gore
IDH-Based Radiogenomic Characterization of Glioma Using Local Ternary Pattern Descriptor Integrated with Radiographic Features and Random Forest Classifier. Int. J. Image Graph. 22(3): 2140013:1-2140013:22 (2022) - [j10]Sonal Gore
Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8449-8458 (2022) - 2021
- [j9]Shrikrishna Kolhar
Spatio-temporal deep neural networks for accession classification of Arabidopsis plants using image sequences. Ecol. Informatics 64: 101334 (2021) - [j8]Shrikrishna Kolhar
Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants. Ecol. Informatics 64: 101373 (2021) - [j7]Sonal Gore
MRI based genomic analysis of glioma using three pathway deep convolutional neural network for IDH classification. Turkish J. Electr. Eng. Comput. Sci. 29(SI-1): 2728-2741 (2021) - [j6]Jayant Jagtap
A comprehensive survey on the reduction of the semantic gap in content-based image retrieval. Int. J. Appl. Pattern Recognit. 6(3): 254-271 (2021) - [c2]Shrikrishna Kolhar
Leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm. CVIP (1) 2021: 139-150 - 2020
- [c1]Sonal Gore
Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. MLCN/RNO-AI@MICCAI 2020: 240-248
2010 – 2019
- 2019
- [j5]Jayant Jagtap
Human age classification using appearance and facial skin ageing features with multi-class support vector machine. Int. J. Biom. 11(1): 22-34 (2019) - 2017
- [j4]Jayant Jagtap, Manesh Kokare:
Local binary patterns and wrinkle analysis in combination with multi-class support vector machine for human age classification. Int. J. Appl. Pattern Recognit. 4(1): 1-13 (2017) - [j3]Jayant Jagtap, Manesh Kokare:
Human age classification via face images: a survey. Int. J. Appl. Pattern Recognit. 4(3): 246-260 (2017) - 2016
- [j2]Jayant Jagtap
Human age classification using facial skin aging features and artificial neural network. Cogn. Syst. Res. 40: 116-128 (2016) - [j1]Jayant Jagtap, Manesh Kokare:
Human age classification using appearance features and artificial neural network. Int. J. Biom. 8(3/4): 179-201 (2016)
Coauthor Index
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last updated on 2024-12-02 22:28 CET by the dblp team
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