| Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI images J Juntu, J Sijbers, S De Backer, J Rajan, D Van Dyck Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2010 | 165 | 2010 |
| Recent advancements in retinal vessel segmentation C L Srinidhi, P Aparna, J Rajan Journal of medical systems 41, 1-22, 2017 | 142 | 2017 |
| Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods RO Panicker, KS Kalmady, J Rajan, MK Sabu Biocybernetics and Biomedical Engineering 38 (3), 691-699, 2018 | 138 | 2018 |
| Noise measurement from magnitude MRI using local estimates of variance and skewness J Rajan, D Poot, J Juntu, J Sijbers Physics in medicine & biology 55 (16), N441, 2010 | 121 | 2010 |
| Speckle reduction in medical ultrasound images using an unbiased non-local means method PV Sudeep, P Palanisamy, J Rajan, H Baradaran, L Saba, A Gupta, ... Biomedical Signal Processing and Control 28, 1-8, 2016 | 120 | 2016 |
| Comprehensive framework for accurate diffusion MRI parameter estimation J Veraart, J Rajan, RR Peeters, A Leemans, S Sunaert, J Sijbers Magnetic resonance in medicine 70 (4), 972-984, 2013 | 114 | 2013 |
| Segmentation of intra-retinal cysts from optical coherence tomography images using a fully convolutional neural network model GN Girish, B Thakur, SR Chowdhury, AR Kothari, J Rajan IEEE journal of biomedical and health informatics 23 (1), 296-304, 2018 | 98 | 2018 |
| An improved hybrid model for molecular image denoising J Rajan, K Kannan, MR Kaimal Journal of Mathematical Imaging and Vision 31, 73-79, 2008 | 94 | 2008 |
| Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods J Rajan, B Jeurissen, M Verhoye, J Van Audekerke, J Sijbers Physics in Medicine & Biology 56 (16), 5221, 2011 | 91 | 2011 |
| Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images J Rajan, J Veraart, J Van Audekerke, M Verhoye, J Sijbers Magnetic Resonance Imaging 30 (10), 1512-1518, 2012 | 84 | 2012 |
| Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S Niyas, SJ Pawan, MA Kumar, J Rajan Neurocomputing 493, 397-413, 2022 | 83 | 2022 |
| A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images RO Panicker, B Soman, G Saini, J Rajan Journal of medical systems 40, 1-13, 2016 | 80 | 2016 |
| An empirical study of the impact of masks on face recognition G Jeevan, GC Zacharias, MS Nair, J Rajan Pattern Recognition 122, 108308, 2022 | 76 | 2022 |
| Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images E Thomas, SJ Pawan, S Kumar, A Horo, S Niyas, S Vinayagamani, ... IEEE journal of biomedical and health informatics 25 (5), 1724-1734, 2021 | 62 | 2021 |
| 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 | 59 | 2015 |
| Iterative bilateral filter for Rician noise reduction in MR images R Riji, J Rajan, J Sijbers, MS Nair Signal, image and video processing 9, 1543-1548, 2015 | 57 | 2015 |
| A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov–Smirnov test J Rajan, AJ den Dekker, J Sijbers Signal processing 103, 16-23, 2014 | 54 | 2014 |
| Automated method for retinal artery/vein separation via graph search metaheuristic approach CL Srinidhi, P Aparna, J Rajan IEEE Transactions on Image Processing 28 (6), 2705-2718, 2019 | 51 | 2019 |
| Automatic detection and localization of focal cortical dysplasia lesions in MRI using fully convolutional neural network KMB Dev, PS Jogi, S Niyas, S Vinayagamani, C Kesavadas, J Rajan Biomedical Signal Processing and Control 52, 218-225, 2019 | 49 | 2019 |
| Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering PV Sudeep, SI Niwas, P Palanisamy, J Rajan, Y Xiaojun, X Wang, Y Luo, ... Computers in biology and medicine 71, 97-107, 2016 | 49 | 2016 |
Jan SijbersFull professor, University of Antwerp在 uantwerpen.be 的电子邮件经过验证
