Jignesh S. Bhatt

Orcid: 0000-0003-4468-7994

According to our database1, Jignesh S. Bhatt authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Analytical CNN: Use of Wavelets for Learning Image Structures in Cross-Domain Generalization.
Proceedings of the National Conference on Communications, 2024

2023
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Self-Supervised Deep Network for Automatic Target Recognition in SAR.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Cognitive Behavioral AI: Novel Conversational Memory Elements for Technical Understanding of Medical Deep Denoisers.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022
A Practical Approach for Hyperspectral Unmixing Using Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2022

Accessible, Affordable and Low-Risk Lungs Health Monitoring in Covid-19: Deep Cascade Reconstruction from Degraded LR-ULDCT.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
A Blind Spectral Unmixing in Wavelet Domain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

An unsupervised deep learning framework for medical image denoising.
CoRR, 2021

Towards glass-box CNNs.
CoRR, 2021

Augmented Noise Learning Framework for Enhancing Medical Image Denoising.
IEEE Access, 2021

Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Virtual Dimensionality of Hyperspectral Data: Use of Multiple Hypothesis Testing for Controlling Type-I Error.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

A Novel Approach for Hyperspectral Image Superresolution Using Spectral Unmixing and Transfer Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Learning in Hyperspectral Unmixing: A Review.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Abundance Estimation Using Discontinuity Preserving and Sparsity-Induced Priors.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Bayesian Deep Learning for Deformable Medical Image Registration.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

A Multi-class Deep All-CNN for Detection of Diabetic Retinopathy Using Retinal Fundus Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

A Statistical Approach to Improve Virtual Dimensionality of Hyperspectral Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Novel Approach for Abundance Estimation in Wavelet Domain.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Practical Approach for SAR Image Despeckling Using Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO.
CoRR, 2018

A Multitemporal Linear Spectral Unmixing: An Iterative Approach Accounting For Abundance Variations.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Investigation of a Joint Splitting Criteria for Decision Tree Classifier Use of Information Gain and Gini Index.
Proceedings of the TENCON 2018, 2018

A Novel Approach for Abundance Estimation Using Discontinuity Preserving Prior.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Early detection of lung cancer from CT images: nodule segmentation and classification using deep learning.
Proceedings of the Tenth International Conference on Machine Vision, 2017

2014
A Data-Driven Stochastic Approach for Unmixing Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014


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