Vanika Singhal

Orcid: 0000-0002-9773-1488

According to our database1, Vanika Singhal authored at least 26 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Estimating deviation from Canonical Orientation for CT Head images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
One-shot Localization and Segmentation of Medical Images with Foundation Models.
CoRR, 2023

2022
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2021
Noise characteristics in low to high kVp domain translation with Deep Regression Network.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning.
Pattern Recognit., 2020

Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning.
Neurocomputing, 2020

2019
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning.
IEEE Trans. Smart Grid, 2019

Solving Inverse Problems in Imaging via Deep Dictionary Learning.
IEEE Access, 2019

Siamese Deep Dictionary Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Age and Gender Estimation via Deep Dictionary Learning Regression.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning.
Neural Process. Lett., 2018

Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements".
IEEE Access, 2018

Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements.
IEEE Access, 2018

Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Deep Dictionary Learning for MRI Reconstruction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Class-wise deep dictionary learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Noisy deep dictionary learning: Application to Alzheimer's Disease classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

How to Train Your Neural Network with Dictionary Learning.
Proceedings of the 2017 Data Compression Conference, 2017

Deep Blind Compressed Sensing.
Proceedings of the 2017 Data Compression Conference, 2017

Noisy Deep Dictionary Learning.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

2016
How to Train Your Deep Neural Network with Dictionary Learning.
CoRR, 2016

Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Correlation based Feature Selection for Diagnosis of Acute Lymphoblastic Leukemia.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

2014
Local Binary Pattern for automatic detection of Acute Lymphoblastic Leukemia.
Proceedings of the Twentieth National Conference on Communications, 2014


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