Jayant Jagtap

According to our database, Jayant Jagtap authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Overview of Hand-Drawn Diagram Recognition Methods and Applications.

Vanita Agrawal, Jayant Jagtap, M. V. V. Prasad Kantipudi

IEEE Access, 2024

2023

Phenomics for Komatsuna plant growth tracking using deep learning approach.

Shrikrishna Kolhar, Jayant Jagtap

Expert Syst. Appl., April, 2023

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research.

Himali Ghorpade, Jayant Jagtap, Shruti Patil, Ketan Kotecha, Ajith Abraham, Natally Horvat, Jayasree Chakraborty

IEEE Access, 2023

2022

Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors.

Sonal Gore, Jayant Jagtap

J. King Saud Univ. Comput. Inf. Sci., 2022

IDH-Based Radiogenomic Characterization of Glioma Using Local Ternary Pattern Descriptor Integrated with Radiographic Features and Random Forest Classifier.

Sonal Gore, Jayant Jagtap

Int. J. Image Graph., 2022

2021

A comprehensive survey on the reduction of the semantic gap in content-based image retrieval.

Jayant Jagtap, Nilesh Bhosle

Int. J. Appl. Pattern Recognit., 2021

MRI based genomic analysis of glioma using three pathway deep convolutional neural network for IDH classification.

Sonal Gore, Jayant Jagtap

Turkish J. Electr. Eng. Comput. Sci., 2021

Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants.

Shrikrishna Kolhar, Jayant Jagtap

Ecol. Informatics, 2021

Spatio-temporal deep neural networks for accession classification of Arabidopsis plants using image sequences.

Shrikrishna Kolhar, Jayant Jagtap

Ecol. Informatics, 2021

Leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm.

Shrikrishna Kolhar, Jayant Jagtap

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI.

Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, Jayant Jagtap

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Human age classification using appearance and facial skin ageing features with multi-class support vector machine.

Jayant Jagtap, Manesh Kokare

Int. J. Biom., 2019

2017

Human age classification via face images: a survey.

Jayant Jagtap, Manesh Kokare

Int. J. Appl. Pattern Recognit., 2017

Local binary patterns and wrinkle analysis in combination with multi-class support vector machine for human age classification.

Jayant Jagtap, Manesh Kokare

Int. J. Appl. Pattern Recognit., 2017

2016

Human age classification using appearance features and artificial neural network.

Jayant Jagtap, Manesh Kokare

Int. J. Biom., 2016

Human age classification using facial skin aging features and artificial neural network.

Jayant Jagtap, Manesh Kokare

Cogn. Syst. Res., 2016