Follow
Sneha Singh
Title
Cited by
Cited by
Year
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network
S Singh, D Gupta, RS Anand, V Kumar
Biomedical Signal Processing and Control 18, 91-101, 2015
1662015
Multimodal medical image fusion using hybrid layer decomposition with CNN-based feature mapping and structural clustering
S Singh, RS Anand
IEEE Transactions on Instrumentation and Measurement 69 (6), 3855-3865, 2019
702019
Multimodal medical image sensor fusion model using sparse K-SVD dictionary learning in nonsubsampled shearlet domain
S Singh, RS Anand
IEEE transactions on instrumentation and measurement 69 (2), 593-607, 2019
692019
Ripplet domain fusion approach for CT and MR medical image information
S Singh, RS Anand
Biomedical Signal Processing and Control 46, 281-292, 2018
432018
CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain
S Singh, RS Anand, D Gupta
IET Image Processing 12 (5), 696-707, 2018
352018
Multimodal neurological image fusion based on adaptive biological inspired neural model in nonsubsampled shearlet domain
S Singh, RS Anand
International Journal of Imaging Systems and Technology 29 (1), 50-64, 2019
302019
Detail enhanced feature-level medical image fusion in decorrelating decomposition domain
S Singh, D Gupta
IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2020
182020
Multistage multimodal medical image fusion model using feature‐adaptive pulse coupled neural network
S Singh, D Gupta
International Journal of Imaging Systems and Technology 31 (2), 981-1001, 2021
72021
Vision outlooker-based hierarchical food classification
P Kathar, R Khandare, M Das, D Gupta, S Singh
TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 317-322, 2023
12023
Residual wavelon convolutional networks for characterization of disease response on MRI
AR Sadri, T DeSilvio, P Chirra, S Singh, SE Viswanath
International Conference on Medical Image Computing and Computer-Assisted …, 2022
12022
Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI
T DeSilvio, L Bao, D Seth, P Chirra, S Singh, A Sridharan, M Labbad, ...
Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and …, 2023
2023
Computerized features of tumor diversity on pre-chemoradiation MRI are associated with pathologic complete response in rectal cancers: A multi-institutional study.
S Singh, T DeSilvio, A Purysko, RM Paspulati, K Friedman, D Liska, ...
Journal of Clinical Oncology 40 (16_suppl), 3608-3608, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–12