K. Ram

Mohanasankar Sivaprakasam, Balamurali Murugesan, Keerthi Ram, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops).

ECGNet: Deep Network for Arrhythmia Classification

Keerthi Ram, Mohanasankar Sivaprakasam, Jayaraj Joseph, 2018, 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images

Keerthi Ram, Mohanasankar Sivaprakasam, Sriprabha Ramanarayanan, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Automatic 3D MRI-Ultrasound Registration for Image Guided Arthroscopy

K. Ram, M. Sivaprakasam, D. Fontanarosa, 2022, Applied Sciences.

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks

Keerthi Ram, Xu Li, Mohanasankar Sivaprakasam, 2020, Nature Machine Intelligence.

RespNet: A deep learning model for extraction of respiration from photoplethysmogram

Keerthi Ram, Mohanasankar Sivaprakasam, Jayaraj Joseph, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset

Brian C. Lee, P. Mitra, M. Miller, 2018, bioRxiv.

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks

P. Mitra, K. Ram, Yusu Wang, 2020, Nature Machine Intelligence.

High precision automated detection of labeled nuclei in Gigapixel resolution image data of Mouse Brain

Sukhendu Das, Keerthi Ram, Jaikishan Jayakumar, 2019, bioRxiv.

High precision automated detection of labeled nuclei in Gigapixel resolution image data of Mouse Brain

Sukhendu Das, Partha P. Mitra, Keerthi Ram, 2018, bioRxiv.

Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images

Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, 2017, Comput. Medical Imaging Graph..

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation

Keerthi Ram, Mohanasankar Sivaprakasam, Balamurali Murugesan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Segmentation of Femoral Cartilage from Knee Ultrasound Images Using Mask R-CNN

Davide Fontanarosa, Mohanasankar Sivaprakasam, Keerthi Ram, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction

K. Ram, M. Sivaprakasam, M. Fahim, 2023, 2308.04262.

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning

K. Ram, M. Sivaprakasam, Sriprabha Ramanarayanan, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram

Keerthi Ram, Mohanasankar Sivaprakasam, Supriti Mulay, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation

Keerthi Ram, Mohanasankar Sivaprakasam, Kaushik Mitra, 2019, IEEE Journal of Biomedical and Health Informatics.

A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation

Keerthi Ram, Mohanasankar Sivaprakasam, Balamurali Murugesan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Attention adaptive instance normalization style transfer for vascular segmentation using deep learning

K. Ram, M. Sivaprakasam, Supriti Mulay, 2023, Applied Intelligence.

Detection and skeletonization of single neurons and tracer injections using topological methods

Xu Li, Partha P. Mitra, Bing-Xing Huo, 2020, bioRxiv.

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit

S. Leonhardt, K. Ram, J. Joseph, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Liver Segmentation from Multimodal Images Using HED-Mask R-CNN

Mohanasankar Sivaprakasam, G Deepika, Keerthi Ram, 2019, MMMI@MICCAI.

A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy

Jayanthi Sivaswamy, Keerthi Ram, Gopal Datt Joshi, 2011, IEEE Transactions on Biomedical Engineering.

Early detection of retinopathy of prematurity stage using deep learning approach

Keerthi Ram, Mohanasankar Sivaprakasam, Supriti Mulay, 2019, Medical Imaging.

Polyp Segmentation using Generative Adversarial Network

Mohanasankar Sivaprakasam, Jayaraj Joseph, Keerthi Ram, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Network for Capacitive ECG Denoising

Mohanasankar Sivaprakasam, Jayaraj Joseph, Vignesh Ravichandran, 2019, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Integrated approach for accurate localization of optic disc and macula

Vaanathi Sundaresan, Keerthi Ram, Niranjan Joshi, 2014 .

MIST GAN: Modality Imputation Using Style Transfer for MRI

Keerthi Ram, Mohanasankar Sivaprakasam, JayaChandra Raju, 2022, MLMI@MICCAI.

Antibacterial Efficacy of Hubballi Propolis against Aggregatibacter Actinomycetemcomitans One of the Major Causative Organisms of Perimplantitis: An In vitro Study

K. Ram, S. Srinivas, K. Ramesh, 2022, Journal of pharmacy & bioallied sciences.

Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime

Amrit Kumar Jethi, K. Ram, M. Sivaprakasam, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks

Keerthi Ram, Mohanasankar Sivaprakasam, Kaushik Mitra, 2017, FIFI/OMIA@MICCAI.