Showing results 1 to 20 of 39
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| Issue Date | Title | Author(s) | Supervisor(s) |
| 2017 | Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach | Krishna, Kumar, P.; Araki, T.; Rajan, J.; Saba, L.; Lavra, F.; Ikeda, N.; Sharma, A.M.; Shafique, S.; Nicolaides, A.; Laird, J.R.; Gupta, A.; Suri, J.S. | - |
| 2019 | Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach | Srinidhi, C.L.; Aparna, P.; Rajan, J. | - |
| 2016 | Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform | Girish, G.N.; Kothari, A.R.; Rajan, J. | - |
| 2019 | Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network | Bijay, Dev, K.M.; Jogi, P.S.; Niyas, S.; Vinayagamani, S.; Kesavadas, C.; Rajan, J. | - |
| 2018 | Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods | Panicker, R.O.; Kalmady, K.S.; Rajan, J.; Sabu, M.K. | - |
| 2018 | A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans | Girish, G.N.; Anima, V.A.; Kothari, A.R.; Sudeep, P.V.; Roychowdhury, S.; Rajan, J. | - |
| 2016 | Carotid inter-adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis | Saba, L.; Araki, T.; Krishna, Kumar, P.; Rajan, J.; Lavra, F.; Ikeda, N.; Sharma, A.M.; Shafique, S.; Nicolaides, A.; Laird, J.R.; Gupta, A.; Suri, J.S. | - |
| 2016 | A comparative study of different auto-focus methods for mycobacterium tuberculosis detection from brightfield microscopic images | Saini, G.; Panicker, R.O.; Soman, B.; Rajan, J. | - |
| 2016 | Coupled PDE for Ultrasound Despeckling Using ENI Classification | Soorajkumar, R.; Krishnakumar, P.; Girish, D.; Rajan, J. | - |
| 2019 | Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans | Narendra, Rao, T.J.; Girish, G.N.; Kothari, A.R.; Rajan, J. | - |
| 2019 | Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation | Girish, G.N.; Saikumar, B.; Roychowdhury, S.; Kothari, A.R.; Rajan, J. | - |
| 2016 | Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering | Sudeep, P.V.; Issac, Niwas, S.; Palanisamy, P.; Rajan, J.; Xiaojun, Y.; Wang, X.; Luo, Y.; Liu, L. | - |
| 2016 | Fourth order PDE based ultrasound despeckling using ENI classification | Soorajkumar, R.; Krishna, Kumar, P.; Girish, D.; Rajan, J. | - |
| 2017 | GPU implementation of non-local maximum likelihood estimation method for denoising magnetic resonance images | Upadhya, A.H.K.; Talawar, B.; Rajan, J. | - |
| 2017 | Guided SAR image despeckling with probabilistic non local weights | Gokul, J.; Nair, M.S.; Rajan, J. | - |
| 2013 | A hybrid model for rician noise reduction in MRI | Sudeep, P.V.; Palanisamy, P.; Rajan, J. | - |
| 2017 | An improved contextual information based approach for anomaly detection via adaptive inference for surveillance application | Rao, T.J.N.; Girish, G.N.; Rajan, J. | - |
| 2018 | An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels | Sudeep, P.V.; Palanisamy, P.; Kesavadas, C.; Rajan, J. | - |
| 2015 | Iterative bilateral filter for Rician noise reduction in MR images | Riji, R.; Rajan, J.; Sijbers, J.; Nair, M.S. | - |
| 2015 | Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework | Kumar, P.K.; Darshan, P.; Kumar, S.; Ravindra, R.; Rajan, J.; Saba, L.; Suri, J.S. | - |
