| Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section KK Vupparaboina, S Nizampatnam, J Chhablani, A Richhariya, S Jana Computerized Medical Imaging and Graphics 46, 315-327, 2015 | 78 | 2015 |
| Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus D Saha, W Sun, C Li, S Nizampatnam, W Padovano, Z Chen, A Chen, ... Nature communications 8 (1), 15413, 2017 | 36 | 2017 |
| Dynamic contrast enhancement and flexible odor codes S Nizampatnam, D Saha, R Chandak, B Raman Nature communications 9 (1), 3062, 2018 | 30 | 2018 |
| Automated Detection of Choroid Boundary and Vessels in Optical Coherence Tomography Images N Srinath, A Patil, VK Kumar, S Jana, J Chhablani, A Richhariya EMBC, 166 - 169, 2014 | 21 | 2014 |
| Invariant odor recognition with ON–OFF neural ensembles S Nizampatnam, L Zhang, R Chandak, J Li, B Raman Proceedings of the National Academy of Sciences 119 (2), e2023340118, 2022 | 15 | 2022 |
| Multi-attention networks for temporal localization of video-level labels L Zhang, S Nizampatnam, A Gangopadhyay, MV Conde arXiv preprint arXiv:1911.06866, 2019 | 6 | 2019 |
| Neural circuit dynamics for sensory detection S Mallik, S Nizampatnam, A Nandi, D Saha, B Raman, SN Ching Journal of Neuroscience 40 (17), 3408-3423, 2020 | 3 | 2020 |
| Neural Dynamics, Adaptive Computations, and Sensory Invariance in an Olfactory System S Nizampatnam Washington University in St. Louis, 2020 | | 2020 |
| Validity of an automated algorithm for Choroidal Volume measurement J Chhablani, A Richhariya, S Jana, K Kumar, S Nizampatnam Investigative Ophthalmology & Visual Science 56 (7), 5284-5284, 2015 | | 2015 |
Baranidharan RamanWashington University in St. LouisVerified email at wustl.edu
