| CNN-DMRI: a convolutional neural network for denoising of magnetic resonance images PC Tripathi, S Bag Pattern Recognition Letters 135, 57-63, 2020 | 8 | 2020 |
| Non-invasively Grading of Brain Tumor Through Noise Robust Textural and Intensity Based Features PC Tripathi, S Bag Computational Intelligence in Pattern Recognition, 531-539, 2020 | 5 | 2020 |
| A skull stripping from brain MRI using adaptive iterative thresholding and mathematical morphology M Laha, PC Tripathi, S Bag 2018 4th International Conference on Recent Advances in Information …, 2018 | 5 | 2018 |
| Identification of astrocytoma grade using intensity, texture, and shape based features A Mitra, PC Tripathi, S Bag Soft computing for problem solving, 455-465, 2020 | 3 | 2020 |
| Content-aware image retargeting: A survey R Pal, PC Tripathi Innovative Research in Attention Modeling and Computer Vision Applications …, 2016 | 2 | 2016 |
| An Improved Non-local Means Denoising Technique for Brain MRI S Sarkar, PC Tripathi, S Bag Computational Intelligence in Pattern Recognition, 765-773, 2020 | 1 | 2020 |
| Segmentation of brain magnetic resonance images using a novel fuzzy clustering based method PC Tripathi, S Bag IET Image Processing 14 (15), 3705-3717, 2020 | | 2020 |
| Content-aware image retargeting with controlled distortion for small displays PC Tripathi, R Pal 2016 International Conference on Advances in Computing, Communications and …, 2016 | | 2016 |
| Content-Aware Image Retargeting R Pal, PC Tripathi | | 2016 |
