A Data-Driven Stochastic Approach for Unmixing Hyperspectral Imagery. - Jignesh S. Bhatt; Manjunath V. Joshi; Mehul S. Raval (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Early detection of lung cancer from CT images: nodule segmentation and classification using deep learning. - Manu Sharma; Jignesh S. Bhatt; Manjunath V. Joshi (ICMV, 2017)

A Novel Approach for Abundance Estimation Using Discontinuity Preserving Prior. - Jignesh R. Patel; Manjunath V. Joshi; Jignesh S. Bhatt (IGARSS, 2018)

Investigation of a Joint Splitting Criteria for Decision Tree Classifier Use of Information Gain and Gini Index. - Vikas Jain; Ashish Phophalia; Jignesh S. Bhatt (TENCON, 2018)

A Multitemporal Linear Spectral Unmixing: An Iterative Approach Accounting For Abundance Variations. - Jignesh S. Bhatt; Manjunath V. Joshi; S. S. Vijayashekhar (WHISPERS, 2018)

Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO. - Jignesh S. Bhatt; N. Padmanabhan (CoRR, 2018)

A Practical Approach for SAR Image Despeckling Using Deep Learning. - Khilan Ravani; Shivam Saboo; Jignesh S. Bhatt (IGARSS, 2019)

A Novel Approach for Abundance Estimation in Wavelet Domain. - S. S. Vijayashekhar; Jignesh S. Bhatt (IGARSS, 2019)

A Statistical Approach to Improve Virtual Dimensionality of Hyperspectral Data. - S. S. Vijayashekhar; Jignesh S. Bhatt; Bhargab Chattopadhyay (IGARSS, 2019)

A Multi-class Deep All-CNN for Detection of Diabetic Retinopathy Using Retinal Fundus Images. - Uday Kiran Challa; Pavankumar Yellamraju; Jignesh S. Bhatt (PReMI (1), 2019)

Bayesian Deep Learning for Deformable Medical Image Registration. - Vijay S. Deshpande; Jignesh S. Bhatt (PReMI (2), 2019)

Abundance Estimation Using Discontinuity Preserving and Sparsity-Induced Priors. - Jignesh R. Patel; Manjunath V. Joshi; Jignesh S. Bhatt (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Deep Learning in Hyperspectral Unmixing: A Review. - Jignesh S. Bhatt; Manjunath V. Joshi (IGARSS, 2020)

A Novel Approach for Hyperspectral Image Superresolution Using Spectral Unmixing and Transfer Learning. - Jignesh R. Patel; Manjunath V. Joshi; Jignesh S. Bhatt (IGARSS, 2020)

Virtual Dimensionality of Hyperspectral Data: Use of Multiple Hypothesis Testing for Controlling Type-I Error. - S. S. Vijayashekhar; Jignesh S. Bhatt; Bhargab Chattopadhyay (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations. - Jignesh R. Patel; Manjunath V. Joshi; Jignesh S. Bhatt (IGARSS, 2021)

Augmented Noise Learning Framework for Enhancing Medical Image Denoising. - Swati Rai; Jignesh S. Bhatt; Sarat Kumar Patra (IEEE Access, 2021)

Towards glass-box CNNs. - Manaswini Piduguralla; Jignesh S. Bhatt (CoRR, 2021)

An unsupervised deep learning framework for medical image denoising. - Swati Rai; Jignesh S. Bhatt; Sarat Kumar Patra (CoRR, 2021)

A Blind Spectral Unmixing in Wavelet Domain. - S. S. Vijayashekhar; Jignesh S. Bhatt (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Accessible, Affordable and Low-Risk Lungs Health Monitoring in Covid-19: Deep Cascade Reconstruction from Degraded LR-ULDCT. - Swati Rai; Jignesh S. Bhatt; Sarat Kumar Patra (ISBI, 2022)

A Practical Approach for Hyperspectral Unmixing Using Deep Learning. - S. S. Vijayashekhar; Vijay S. Deshpande; Jignesh S. Bhatt (IEEE Geosci. Remote. Sens. Lett., 2022)

A Cognitive Behavioral AI: Novel Conversational Memory Elements for Technical Understanding of Medical Deep Denoisers. - Swati Rai; Jignesh S. Bhatt; Sarat Kumar Patra; Tanmay Ambadkar (CogMI, 2023)

Self-Supervised Deep Network for Automatic Target Recognition in SAR. - Sai Kumar Bashetti; Jignesh S. Bhatt (IGARSS, 2023)

A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images. - Swati Rai; Jignesh S. Bhatt; Sarat Kumar Patra (SSP, 2023)

Visualizing Dynamics of Federated Medical Models via Conversational Memory Elements. - Sanidhya Kumar; Varun Vilvadrinath; Jignesh S. Bhatt; Ashish Phophalia (ICPR (12), 2024)

An Analytical CNN: Use of Wavelets for Learning Image Structures in Cross-Domain Generalization. - Manaswini Piduguralla; Jignesh S. Bhatt (NCC, 2024)