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Keerthi Ram
Keerthi Ram
Lead engineer, HTIC, IIT Madras
Verified email at htic.iitm.ac.in
Title
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Cited by
Year
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
2162017
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
1502010
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, 168-176, 2017
982017
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
692019
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
612009
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
532019
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
422019
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
402019
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
402018
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
382017
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
212020
Liver segmentation from multimodal images using HED-mask R-CNN
S Mulay, G Deepika, S Jeevakala, K Ram, M Sivaprakasam
International workshop on multiscale multimodal medical imaging, 68-75, 2019
172019
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
162019
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
152020
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
152019
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
152019
Recon-GLGAN: a global-local context based generative adversarial network for MRI reconstruction
B Murugesan, S Vijaya Raghavan, K Sarveswaran, K Ram, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2019
132019
Deep network for capacitive ECG denoising
V Ravichandran, B Murugesan, SM Shankaranarayana, K Ram, ...
2019 IEEE International Symposium on Medical Measurements and Applications …, 2019
112019
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
112009
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
92014
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