| Automation of differential blood count N Sinha, AG Ramakrishnan TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region 2 …, 2003 | 182 | 2003 |
| Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas R Raja, N Sinha, J Saini, A Mahadevan, KVLN Rao, A Swaminathan Neuroradiology 58, 1217-1231, 2016 | 77 | 2016 |
| Optic disk localization using L1 minimization N Sinha, RV Babu 2012 19th IEEE International Conference on Image Processing, 2829-2832, 2012 | 53 | 2012 |
| Blood Cell Segmentation Using EM Algorithm. N Sinha, AG Ramakrishnan ICVGIP, 2002 | 45 | 2002 |
| Quality assessment in magnetic resonance images N Sinha, AG Ramakrishnan Critical Reviews™ in Biomedical Engineering 38 (2), 2010 | 28 | 2010 |
| Statistical feature analysis for EEG baseline classification: Eyes Open vs Eyes Closed N Sinha, D Babu 2016 IEEE region 10 conference (TENCON), 2466-2469, 2016 | 23 | 2016 |
| Customizing CNNs for blood vessel segmentation from fundus images SK Vengalil, N Sinha, SSS Kruthiventi, RV Babu 2016 international conference on signal processing and communications (SPCOM …, 2016 | 23 | 2016 |
| Sleep EEG analysis utilizing inter-channel covariance matrices SS Prabhu, N Sinha Biocybernetics and Biomedical Engineering 40 (1), 527-545, 2020 | 21 | 2020 |
| Automatic optic disc segmentation using maximum intensity variation V Kumar, N Sinha IEEE 2013 Tencon-Spring, 29-33, 2013 | 17 | 2013 |
| Cognitive state classification using transformed fMRI data H Ramasangu, N Sinha 2014 International Conference on Signal Processing and Communications (SPCOM …, 2014 | 14 | 2014 |
| Hybrid features based classification of alcoholic and non-alcoholic EEG N Sinha, D Babu 2015 IEEE International Conference on Electronics, Computing and …, 2015 | 12 | 2015 |
| Statistical features based epileptic seizure EEG detection-an efficacy evaluation N Sinha, D Babu 2015 International Conference on Advances in Computing, Communications and …, 2015 | 11 | 2015 |
| Parallel magnetic resonance imaging using neural networks N Sinha, M Saranathan, KR Ramakrishnan, S Suresh 2007 IEEE International Conference on Image Processing 3, III-149-III-152, 2007 | 11 | 2007 |
| Adaptive k-space sampling design for edge-enhanced DCE-MRI using compressed sensing R Raja, N Sinha Magnetic Resonance Imaging 32 (7), 899-912, 2014 | 10 | 2014 |
| An Investigation of Multi-dimensional (1D vs 2D vs 3D) Analyses of EEG Signals using Traditional Methods and Deep Learning Based Methods D Shah, G Gopan K, N Sinha Frontiers in Signal Processing, 52, 2022 | 9 | 2022 |
| Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network R Lahoti, SK Vengalil, PB Venkategowda, N Sinha, VV Reddy 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
| A new statistical framework for corpus callosum sub-region characterization based on LBP texture in patients with parkinsonian disorders: a pilot study D Bhattacharya, N Sinha, S Prasad, PK Pal, J Saini, S Mangalore Frontiers in Neuroscience 14, 477, 2020 | 8 | 2020 |
| Analysis of single channel electroencephalographic signals for visual creativity: A pilot study SVRA Reddy, M Rao, N Sinha Biomedical Signal Processing and Control 75, 103542, 2022 | 7 | 2022 |
| Class specific interpretability in cnn using causal analysis A Yadu, PK Suhas, N Sinha 2021 IEEE International Conference on Image Processing (ICIP), 3702-3706, 2021 | 7 | 2021 |
| Deep learning based detection of rhinoceros beetle infestation in coconut trees using drone imagery A Kadethankar, N Sinha, A Burman, V Hegde Computer Vision and Image Processing: 5th International Conference, CVIP …, 2021 | 7 | 2021 |
jitender sainiNational Institute for Mental Health and Neuroscience, Bangalore, India在 nimhans.ac.in 的电子邮件经过验证
