Human age classification using facial skin aging features and artificial neural network. - Jayant Jagtap; Manesh Kokare (Cogn. Syst. Res., 2016)

Human age classification using appearance features and artificial neural network. - Jayant Jagtap; Manesh Kokare (Int. J. Biom., 2016)

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)

Human age classification via face images: a survey. - Jayant Jagtap; Manesh Kokare (Int. J. Appl. Pattern Recognit., 2017)

Human age classification using appearance and facial skin ageing features with multi-class support vector machine. - Jayant Jagtap; Manesh Kokare (Int. J. Biom., 2019)

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 (MLCN/RNO-AI@MICCAI, 2020)

Leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm. - Shrikrishna Kolhar; Jayant Jagtap (CVIP (1), 2021)

Spatio-temporal deep neural networks for accession classification of Arabidopsis plants using image sequences. - Shrikrishna Kolhar; Jayant Jagtap (Ecol. Informatics, 2021)

Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants. - Shrikrishna Kolhar; Jayant Jagtap (Ecol. Informatics, 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)

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)

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)

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)

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)

Phenomics for Komatsuna plant growth tracking using deep learning approach. - Shrikrishna Kolhar; Jayant Jagtap (Expert Syst. Appl., 2023)

An Overview of Hand-Drawn Diagram Recognition Methods and Applications. - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (IEEE Access, 2024)

Corrections to "An Overview of Hand-Drawn Diagram Recognition Methods and Applications". - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (IEEE Access, 2024)

mUNET: glioma segmentation with delineation of tumour sub-regions using optimised architecture of UNET. - Sonal Gore; Jayant Jagtap (Int. J. Medical Eng. Informatics, 2024)

Exploration of advancements in handwritten document recognition techniques. - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (Intell. Syst. Appl., 2024)

Deep Learning Framework for Liver Tumor Segmentation. - Khushi Gupta; Shrey Aggarwal; Avinash Jha; Aamir Habib; Jayant Jagtap; Shrikrishna Kolhar; Shruti Patil; Ketan Kotecha; Tanupriya Choudhury (EAI Endorsed Trans. Pervasive Health Technol., 2024)