| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1774 | 2018 |
| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018 | 1425 | 2018 |
| BACH: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 553 | 2019 |
| Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers M Khened, VA Kollerathu, G Krishnamurthi Medical image analysis 51, 21-45, 2019 | 344 | 2019 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 230 | 2020 |
| Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... progression assessment, and overall survival prediction in the BRATS …, 2018 | 115 | 2018 |
| Densely connected fully convolutional network for short-axis cardiac cine MR image segmentation and heart diagnosis using random forest M Khened, V Alex, G Krishnamurthi Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 113 | 2018 |
| Generative adversarial networks for brain lesion detection V Alex, MS KP, SS Chennamsetty, G Krishnamurthi Medical Imaging 2017: Image Processing 10133, 113-121, 2017 | 97 | 2017 |
| Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation V Alex, K Vaidhya, S Thirunavukkarasu, C Kesavadas, G Krishnamurthi Journal of Medical Imaging 4 (4), 041311-041311, 2017 | 88 | 2017 |
| Medical image retrieval using Resnet-18 S Ayyachamy, V Alex, M Khened, G Krishnamurthi Medical imaging 2019: imaging informatics for healthcare, research, and …, 2019 | 83 | 2019 |
| Brain tumor segmentation using dense fully convolutional neural network M Shaikh, G Anand, G Acharya, A Amrutkar, V Alex, G Krishnamurthi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 76 | 2018 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 69 | 2020 |
| Multi-modal brain tumor segmentation using stacked denoising autoencoders K Vaidhya, S Thirunavukkarasu, V Alex, G Krishnamurthi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 65 | 2016 |
| Classification of breast cancer histology image using ensemble of pre-trained neural networks SS Chennamsetty, M Safwan, V Alex Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 56 | 2018 |
| Ensemble of convolutional neural networks for automatic grading of diabetic retinopathy and macular edema A Kori, SS Chennamsetty, V Alex arXiv preprint arXiv:1809.04228, 2018 | 33 | 2018 |
| Analysis of physiological signals in response to stress using ECG and respiratory signals of automobile drivers K Soman, V Alex, C Srinivas 2013 International Mutli-Conference on Automation, Computing, Communication …, 2013 | 26 | 2013 |
| Ensemble of fully convolutional neural network for brain tumor segmentation from magnetic resonance images A Kori, M Soni, B Pranjal, M Khened, V Alex, G Krishnamurthi International MICCAI Brainlesion Workshop, 485-496, 2018 | 23 | 2018 |
| Brain tumor segmentation from multi modal MR images using fully convolutional neural network V Alex, M Safwan, G Krishnamurthi Medical Image Computing and Computer Assisted Intervention-MICCAI, 1-8, 2017 | 23 | 2017 |
| Recurrent attention mechanism networks for enhanced classification of biomedical images M Shaikh, VA Kollerathu, G Krishnamurthi 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 22 | 2019 |
| Comparative Study on various Losses for Vehicle Re-identification. A Shankar, A Poojary, V Kollerathu, C Yeshwanth, S Reddy, ... CVPR Workshops 2, 6, 2019 | 20 | 2019 |
Subramaniam ThirunavukkarasuIIT MadrasVerified email at smail.iitm.ac.in
