| Brain-wide maps reveal stereotyped cell-type-based cortical architecture and subcortical sexual dimorphism Y Kim, GR Yang, K Pradhan, KU Venkataraju, M Bota, LCG Del Molino, ... Cell 171 (2), 456-469. e22, 2017 | 230 | 2017 |
| A successive clutter-rejection-based approach for early detection of diabetic retinopathy K Ram, GD Joshi, J Sivaswamy IEEE Transactions on Biomedical Engineering 58 (3), 664-673, 2010 | 157 | 2010 |
| Joint optic disc and cup segmentation using fully convolutional and adversarial networks SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop …, 2017 | 110 | 2017 |
| Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation B Murugesan, K Sarveswaran, SM Shankaranarayana, K Ram, J Joseph, ... 2019 41st Annual international conference of the IEEE engineering in …, 2019 | 85 | 2019 |
| Multi-space clustering for segmentation of exudates in retinal color photographs K Ram, J Sivaswamy 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 61 | 2009 |
| Fully convolutional networks for monocular retinal depth estimation and optic disc-cup segmentation SM Shankaranarayana, K Ram, K Mitra, M Sivaprakasam IEEE journal of biomedical and health informatics 23 (4), 1417-1426, 2019 | 57 | 2019 |
| A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset MK Lin, YS Takahashi, BX Huo, M Hanada, J Nagashima, J Hata, ... Elife 8, e40042, 2019 | 46 | 2019 |
| RespNet: A deep learning model for extraction of respiration from photoplethysmogram V Ravichandran, B Murugesan, V Balakarthikeyan, K Ram, SP Preejith, ... 2019 41st annual international conference of the IEEE engineering in …, 2019 | 44 | 2019 |
| Ecgnet: Deep network for arrhythmia classification B Murugesan, V Ravichandran, K Ram, SP Preejith, J Joseph, ... 2018 IEEE International Symposium on Medical Measurements and Applications …, 2018 | 44 | 2018 |
| Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images G Gupta, S Kulasekaran, K Ram, N Joshi, M Sivaprakasam, R Gandhi Computerized Medical Imaging and Graphics 55, 124-132, 2017 | 42 | 2017 |
| Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks S Banerjee, L Magee, D Wang, X Li, BX Huo, J Jayakumar, K Matho, ... Nature machine intelligence 2 (10), 585-594, 2020 | 23 | 2020 |
| Liver segmentation from multimodal images using HED-mask R-CNN S Mulay, G Deepika, S Jeevakala, K Ram, M Sivaprakasam Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020 | 20 | 2020 |
| Polyp segmentation using generative adversarial network JM Poorneshwaran, SS Kumar, K Ram, J Joseph, M Sivaprakasam 2019 41St annual international conference of the IEEE engineering in …, 2019 | 20 | 2019 |
| DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR image reconstruction S Ramanarayanan, B Murugesan, K Ram, M Sivaprakasam 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1069-1073, 2020 | 18 | 2020 |
| Recon-GLGAN: A global-local context based generative adversarial network for MRI reconstruction B Murugesan, S Vijaya Raghavan, K Sarveswaran, K Ram, ... Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 18 | 2019 |
| Segmentation of femoral cartilage from knee ultrasound images using mask R-CNN G Kompella, M Antico, F Sasazawa, S Jeevakala, K Ram, D Fontanarosa, ... 2019 41st annual international conference of the IEEE engineering in …, 2019 | 16 | 2019 |
| Early detection of retinopathy of prematurity stage using deep learning approach S Mulay, K Ram, M Sivaprakasam, A Vinekar Medical Imaging 2019: Computer-Aided Diagnosis 10950, 758-764, 2019 | 16 | 2019 |
| Deep network for capacitive ECG denoising V Ravichandran, B Murugesan, SM Shankaranarayana, K Ram, ... 2019 IEEE International Symposium on Medical Measurements and Applications …, 2019 | 11 | 2019 |
| Curvature orientation histograms for detection and matching of vascular landmarks in retinal images K Ram, Y Babu, J Sivaswamy Medical Imaging 2009: Image Processing 7259, 528-535, 2009 | 11 | 2009 |
| Detection of retinal hemorrhages in the presence of blood vessels G Gupta, K Ram, S Kulasekaran, N Joshi, M Sivaprakasam, R Gandhi Ophthalmic Medical Image Analysis International Workshop 1 (2014), 2014 | 9 | 2014 |
Balamurali MurugesanÉcole de technologie supérieureDirección de correo verificada de etsmtl.net
