| A review on carotid ultrasound atherosclerotic tissue characterization and stroke risk stratification in machine learning framework AM Sharma, A Gupta, PK Kumar, J Rajan, L Saba, I Nobutaka, JR Laird, ... Current atherosclerosis reports 17 (9), 1-13, 2015 | 58 | 2015 |
| Carotid inter‐adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis L Saba, T Araki, P Krishna Kumar, J Rajan, F Lavra, N Ikeda, AM Sharma, ... Journal of Clinical Ultrasound 44 (4), 210-220, 2016 | 29 | 2016 |
| State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound PK Kumar, T Araki, J Rajan, JR Laird, A Nicolaides, JS Suri Computer methods and programs in biomedicine 163, 155-168, 2018 | 28 | 2018 |
| Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach P Krishna Kumar, T Araki, J Rajan, L Saba, F Lavra, N Ikeda, AM Sharma, ... Medical & biological engineering & computing 55 (8), 1415-1434, 2017 | 28 | 2017 |
| Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique Y Nagaraj, P Madipalli, J Rajan, PK Kumar, AV Narasimhadhan Biomedical Signal Processing and Control 40, 462-472, 2018 | 27 | 2018 |
| Two automated techniques for carotid lumen diameter measurement: regional versus boundary approaches T Araki, PK Kumar, HS Suri, N Ikeda, A Gupta, L Saba, J Rajan, F Lavra, ... Journal of medical systems 40 (7), 1-19, 2016 | 24 | 2016 |
| A hybrid method for object identification and event detection in video KK Perikamana, L Parameswaran Computer Vision, Pattern Recognition, Image Processing and Graphics …, 2013 | 17* | 2013 |
| Ultrasound-based automated carotid lumen diameter/stenosis measurement and its validation system T Araki, AM Kumar, P Krishna Kumar, A Gupta, L Saba, J Rajan, F Lavra, ... Journal for Vascular Ultrasound 40 (3), 120-134, 2016 | 12 | 2016 |
| Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT‐framework PK Kumar, P Darshan, S Kumar, R Ravindra, J Rajan, L Saba, JS Suri International Journal of Imaging Systems and Technology 25 (3), 256-264, 2015 | 9 | 2015 |
| Coupled PDE for ultrasound despeckling using ENI classification R Soorajkumar, P Krishnakumar, D Girish, J Rajan Procedia Computer Science 89, 658-665, 2016 | 4 | 2016 |
| Fourth order PDE based ultrasound despeckling using ENI classification R Soorajkumar, PK Kumar, D Girish, J Rajan 2016 International Conference on Signal Processing and Communications (SPCOM …, 2016 | 3 | 2016 |
| A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery KK Perikamana, K Balakrishnan, P Tripathy arXiv preprint arXiv:2112.08841, 2021 | 2 | 2021 |
| A semi-automatic method for carotid artery wall segmentation in MR images PK Kumar, C Kesavadas, J Rajan 2016 IEEE Annual India Conference (INDICON), 1-6, 2016 | 1 | 2016 |
| Deep learning approach for monitoring urban land cover changes KK Perikamana, K Balakrishnan, P Tripathy Earth Observation in Urban Monitoring, 171-196, 2024 | | 2024 |
| Accurate Measurement of Carotid Lumen Diameter and Narrowing Utilizing Ultrasound AM Sharma, T Araki, K Kumar, N Ikeda, F Lavra, J Rajan, L Saba, ... Arteriosclerosis, Thrombosis, and Vascular Biology 35 (suppl_1), A509-A509, 2015 | | 2015 |
